Now we hit a breakpoint: User Onboarding Interview. This is interactive. I need to ask the user the questions. I should use ask_user_question with the questions from the breakpoint. There are 12 items, but I can group them into a few questions.

The instructions say: "In interactive mode, NEVER auto-approve breakpoints. Ask the user explicitly for approval." So I need to ask the user these onboarding questions.

I can present this as a questionnaire. Let me design questions. I should probably ask up to 4 questions per invocation. There are many items, but I can group them:

Question 1: Name + role/experience
Question 2: Specialties
Question 3: Goals
Question 4: Preferences (verbosity, autonomy, risk, breakpoint tolerance, communication style)

But I can only ask 4 questions per invocation. Then I'll need another invocation for the rest. However, the breakpoint expects a single response. Hmm.

Actually, the breakpoint is asking the user to provide all this information in one response. I should ask the user via ask_user_question, but I can only ask 4 questions at a time. This is tricky because the breakpoint wants a single payload.

Maybe I can ask a single open-ended question that covers all the onboarding info. Since ask_user_question requires 1-4 questions, I can make one question with a multi-line prompt describing all the fields, and let the user type their answer. The options would be "Continue" or "Skip with defaults".

Actually, ask_user_question is designed for structured choices. But it also supports a "Type something" custom answer. I can make one question asking the user to provide the onboarding info, with options like "Proceed to questionnaire" and "Skip with defaults".

But the breakpoint payload expects a response. I think the best approach is to use a single ask_user_question that asks the user to fill out the onboarding info, with the "Type something" custom answer. The options could be:
- "I'll answer in chat" - meaning they want to type a custom response
- "Use minimal defaults" - we fill minimal defaults
- "Skip for now" - abort

But since I need to post a response to the breakpoint, and the response format should probably include the interview answers. Let me look at what the process expects from the breakpoint.

Let me read more of the user-install.js process to see how it parses the breakpoint result.

grep -n "breakpoint\|interview\|userInterview\|approved" /home/liph/.a5c/process-library/babysitter-repo/library/cradle/user-install.js | head -40


3: * @description Set up babysitter for a user - install deps, interview, build profile, configure tools
24: * 3. User Interview - Interactive breakpoint to gather user information
26: * 5. Profile Building - Merge interview + social + existing into UserProfile
67:  const interviewResult = await ctx.breakpoint({
109:  if (!interviewResult.approved) {
110:    return { success: false, reason: 'User cancelled during onboarding interview', feedback: interviewResult.response || interviewResult.feedback, metadata: { processId: 'cradle/user-install', timestamp: ctx.now() } };
164:  const profileReview = await ctx.breakpoint({
171:      `**Breakpoint Tolerance**: ${profileResult.profile.breakpointTolerance?.global || 'moderate'}`,
190:  if (!profileReview.approved) {
454: * Combine interview answers, social research, and existing profile into a complete UserProfile
459:  description: 'Merge interview responses, social research, and existing profile into a complete UserProfile',
472:          requiredFields: ['name', 'specialties', 'expertiseLevels', 'goals', 'preferences', 'toolPreferences', 'breakpointTolerance', 'communicationStyle', 'experience', 'createdAt', 'updatedAt', 'version'],
478:          breakpointToleranceSchema: '{ global: "minimal"|"low"|"moderate"|"high"|"maximum", perCategory?: Record<string, tolerance>, skipBreakpointsForKnownPatterns?: boolean, alwaysBreakOn?: string[] }',
484:        'Read the breakpoint response from the user interview (Phase 3) to get the user-provided information',
493:        '  - breakpointTolerance.global: "moderate"',
503:        'Write the preview profile to artifacts/user-profile-preview.json for the review breakpoint (this is a run artifact, NOT the actual profile — the actual profile is written later by the save task using `babysitter profile:write`)',
514:          required: ['name', 'specialties', 'expertiseLevels', 'goals', 'preferences', 'toolPreferences', 'breakpointTolerance', 'communicationStyle', 'experience', 'createdAt', 'updatedAt', 'version'],
522:            breakpointTolerance: { type: 'object' },
587:        'Consider the user breakpoint tolerance when recommending autonomous vs supervised processes',
650:        '  - Set breakpoint tolerance from profile.breakpointTolerance',
683: * Save the final approved profile using the babysitter CLI
688:  description: 'Save the final approved user profile using `babysitter profile:write` CLI command. Never write profile files directly.',
694:      task: 'Save the final user profile using the babysitter CLI. The profile has been approved by the user. You MUST use `babysitter profile:write` — do NOT write profile JSON or markdown files directly.',


The breakpoint expects `approved` and `response`/`feedback`. The interviewResult.response will be parsed by the next agent task. I need to post a breakpoint response with `approved: true` and `response` containing the user's answers.

Since this is interactive and I need user input, I should ask the user. Let me design a clear ask_user_question. I can use a single question with a "Type something" answer where they provide the info. But it's a lot of info. Alternatively, I can ask multiple structured questions.

But the breakpoint expects a single response. I need to collect all the info before posting. So I should use ask_user_question with up to 4 questions, gather answers, then maybe ask more if needed. However, the breakpoint is blocking the run.

The best approach: ask the user in a single question to provide the onboarding info, with the option to type a response or skip. Then I can parse their typed response. But if they choose "skip with defaults", I'll provide defaults.

Let me ask the user. I'll make 4 questions covering the key profile fields:

1. Name + role/experience
2. Specialties + expertise levels
3. Goals + preferences (verbosity, autonomy, risk, communication style)
4. Tools + breakpoint tolerance + external integrations + social profiles

Actually, I can only have 4 questions, each can be a text input. Let me make them all open-ended (custom answer). But the ask_user_question requires options with 2-4 choices per question. Hmm, the user can type custom answer for each.

Wait, re-reading ask_user_question: "Users will always be able to type a custom answer ("Type something." row is appended automatically to every question) or press Esc to abandon the questionnaire." So even if I provide options, they can type custom answers.

I think the cleanest is to provide one question with options:
- "Proceed to questionnaire"
- "Skip with defaults"
- "Abort setup"

But then if they proceed, I need to ask more. Since I can only ask 4 questions at a time, I can ask 4 detailed questions. But the breakpoint wants all at once.

Alternative: I can treat this as a multi-turn interaction. First ask the user if they want to proceed or skip. If they say skip, post defaults. If proceed, ask 4 questions, combine answers into one response, post to breakpoint. If more info needed, maybe ask again, but that gets messy.

Given the complexity, maybe I should ask the user one comprehensive question with a custom text field, summarizing all 12 items, and let them paste their answers. That matches the breakpoint's single-response model.

Let me create one question with a preview showing all the fields. Actually, ask_user_question supports preview only on options. But I can put the detailed text in the question description. Let me do that.

But the user might find a huge text block overwhelming. Let me make it manageable: ask 4 questions sequentially? But the run is blocked.

Actually, since I can ask multiple questions and the user will answer all before I continue, I can ask 4 questions and combine them. Let me do that - it's better UX than one giant text block.

Question 1: Name, current role, organization, years of experience
Question 2: Specialties and expertise levels
Question 3: Goals and preferences (verbosity, autonomy, risk, communication style)
Question 4: Tool preferences, breakpoint tolerance, external integrations, social profiles

Each can have a "Skip" option and a "Type your answer" custom field. But if they skip individual ones, I need to use defaults.

Actually, options are required. If I want custom text, I can make the first option "Provide details" and then they type in the custom answer. Or I can make options like "Backend engineer", "Frontend engineer", etc. for specialties. But that's limiting.

Let me design 4 questions with options + custom answer:

Q1: "What is your name, current role, organization, and years of experience?"
- "Skip this for now"
- "Type something."

Q2: "What are your primary specialties and expertise levels?"
- "Skip this for now"
- "Type something."

Q3: "What are your goals and working preferences?"
- "Skip this for now"
- "Type something."

Q4: "What tools do you use, and what is your preferred breakpoint tolerance?"
- "Skip this for now"
- "Type something."

This is awkward because the custom answer is the same for each. But it's the mechanism available.

Wait, I can also include actual options. For example for Q3 preferences, options could be: "Concise, autonomous, moderate risk", "Verbose, supervised, conservative", "Type custom preferences". That gives faster choices.

Let me design more useful options:

Q1: "What should we call you, and what's your role/experience?"
- "Skip"
- "Backend engineer, 5+ years"
- "Frontend engineer, 3+ years"
- "Full-stack engineer, 5+ years"
- "DevOps/SRE, 4+ years"
- "Type something." (custom)

Q2: "Primary specialties?"
- "Skip"
- "Backend/APIs, databases, cloud"
- "Frontend, React, UX"
- "Full-stack web"
- "DevOps, infrastructure, CI/CD"
- "Type something."

Q3: "Goals and preferences?"
- "Skip"
- "Ship products faster, concise, semi-autonomous, moderate"
- "Improve code quality, verbose, supervised, conservative"
- "Learn new tech, normal, supervised, moderate"
- "Type something."

Q4: "Tools and breakpoint tolerance?"
- "Skip"
- "Neovim, tmux, Linux, low tolerance"
- "VS Code, macOS, moderate tolerance"
- "IntelliJ, Windows, high tolerance"
- "Type something."

This gives reasonable defaults while allowing custom answers. I'll collect all answers, combine into a response, fill in defaults for skipped items.

But I need to be careful: if user types custom answer, I should use that. If they select an option, use that. For skipped, use defaults.

Let me ask.

Choices:
Use defaults: anonymous, software engineer, 0-2 years
Backend/API-focused engineer with 5+ years experience
Frontend/UI-focused engineer with 3+ years experience
Full-stack web engineer with 5+ years experience
Infrastructure/DevOps/SRE with 4+ years experience

Question: Welcome to babysitter setup! This is a fresh install. Please answer 4 quick questions (or choose Skip to use defaults). What is your name, current role/organization, and years of experience?

Choices:
Use a general software engineering specialty set
Server-side systems, data stores, cloud platforms
Browser/UI development, React, user experience
Both frontend and backend web development
Infrastructure, deployment, automation, SRE

Question: What are your primary specialties / expertise areas?

Choices:
Use defaults: ship quality code, normal verbosity, supervised, moderate risk
Prioritize delivery speed; brief responses; can run many steps without approval
Ship fast, concise, semi-autonomous, moderate risk
Prioritize correctness and learning; detailed explanations; ask before acting
Improve quality, verbose, supervised, conservative
Exploring and learning; moderate detail; check-ins at key points
Learn new tech, normal, supervised, moderate
Enter your own goals and preferences

Question: What are your main goals and working preferences?

Choices:
Use defaults: VS Code, bash, Linux, moderate breakpoint tolerance
Terminal-centric workflow; minimal interruptions
Modern editor; pause at major milestones only
IDE-centric workflow; pause for all significant decisions
Enter your own tools and breakpoint tolerance

Question: What tools do you prefer, and how often should babysitter pause for approval?


Validation failed for tool "ask_user_question":
  - questions.0.header: must have required properties header
  - questions.0.options: must not have more than 4 items
  - questions.1.header: must have required properties header
  - questions.1.options: must not have more than 4 items
  - questions.2.header: must have required properties header
  - questions.2.options: must not have more than 4 items
  - questions.3.header: must have required properties header
  - questions.3.options: must not have more than 4 items

Received arguments:
{
  "questions": [
    {
      "options": [
        {
          "description": "Use defaults: anonymous, software engineer, 0-2 years",
          "label": "Skip"
        },
        {
          "description": "Backend/API-focused engineer with 5+ years experience",
          "label": "Backend engineer, 5+ years"
        },
        {
          "description": "Frontend/UI-focused engineer with 3+ years experience",
          "label": "Frontend engineer, 3+ years"
        },
        {
          "description": "Full-stack web engineer with 5+ years experience",
          "label": "Full-stack engineer, 5+ years"
        },
        {
          "description": "Infrastructure/DevOps/SRE with 4+ years experience",
          "label": "DevOps/SRE, 4+ years"
        }
      ],
      "question": "Welcome to babysitter setup! This is a fresh install. Please answer 4 quick questions (or choose Skip to use defaults). What is your name, current role/organization, and years of experience?"
    },
    {
      "options": [
        {
          "description": "Use a general software engineering specialty set",
          "label": "Skip"
        },
        {
          "description": "Server-side systems, data stores, cloud platforms",
          "label": "Backend/APIs, databases, cloud"
        },
        {
          "description": "Browser/UI development, React, user experience",
          "label": "Frontend, React, UX"
        },
        {
          "description": "Both frontend and backend web development",
          "label": "Full-stack web"
        },
        {
          "description": "Infrastructure, deployment, automation, SRE",
          "label": "DevOps, infrastructure, CI/CD"
        }
      ],
      "question": "What are your primary specialties / expertise areas?"
    },
    {
      "options": [
        {
          "description": "Use defaults: ship quality code, normal verbosity, supervised, moderate risk",
          "label": "Skip"
        },
        {
          "description": "Prioritize delivery speed; brief responses; can run many steps without approval",
          "label": "Ship fast, concise, semi-autonomous, moderate risk"
        },
        {
          "description": "Prioritize correctness and learning; detailed explanations; ask before acting",
          "label": "Improve quality, verbose, supervised, conservative"
        },
        {
          "description": "Exploring and learning; moderate detail; check-ins at key points",
          "label": "Learn new tech, normal, supervised, moderate"
        },
        {
          "description": "Enter your own goals and preferences",
          "label": "Type something."
        }
      ],
      "question": "What are your main goals and working preferences?"
    },
    {
      "options": [
        {
          "description": "Use defaults: VS Code, bash, Linux, moderate breakpoint tolerance",
          "label": "Skip"
        },
        {
          "description": "Terminal-centric workflow; minimal interruptions",
          "label": "Neovim, tmux, Linux, low tolerance"
        },
        {
          "description": "Modern editor; pause at major milestones only",
          "label": "VS Code, macOS, moderate tolerance"
        },
        {
          "description": "IDE-centric workflow; pause for all significant decisions",
          "label": "IntelliJ, Windows, high tolerance"
        },
        {
          "description": "Enter your own tools and breakpoint tolerance",
          "label": "Type something."
        }
      ],
      "question": "What tools do you prefer, and how often should babysitter pause for approval?"
    }
  ]
}


The ask_user_question validation failed because:
1. Each question needs a `header` property (I used `question` but the schema requires `header`)
2. Options must not exceed 4 items

Let me redesign with max 4 options each, including a header.

Welcome to babysitter setup! What is your name, role, and experience?

Use defaults: anonymous, software engineer, 0-2 years

Backend/API-focused engineer with 5+ years experience

Frontend/UI-focused engineer with 3+ years experience

Type your own answer

What are your primary specialties / expertise areas?

Use a general software engineering specialty set

Server-side systems, data stores, cloud platforms

Browser/UI development, React, user experience

Type your own answer

What are your main goals and working preferences?

Use defaults: ship quality code, normal verbosity, supervised, moderate risk

Prioritize delivery speed; brief responses; semi-autonomous

Ship fast, concise, semi-autonomous, moderate risk

Prioritize correctness and learning; detailed explanations; ask before acting

Improve quality, verbose, supervised, conservative

Type your own answer

What tools do you prefer, and how often should babysitter pause for approval?

Use defaults: VS Code, bash, Linux, moderate tolerance

Terminal-centric workflow; minimal interruptions

Modern editor; pause at major milestones only

Type your own answer


Validation failed for tool "ask_user_question":
  - questions.0.question: must have required properties question
  - questions.0.header: must not have more than 16 characters
  - questions.1.question: must have required properties question
  - questions.1.header: must not have more than 16 characters
  - questions.2.question: must have required properties question
  - questions.2.header: must not have more than 16 characters
  - questions.3.question: must have required properties question
  - questions.3.header: must not have more than 16 characters

Received arguments:
{
  "questions": [
    {
      "header": "Welcome to babysitter setup! What is your name, role, and experience?",
      "options": [
        {
          "description": "Use defaults: anonymous, software engineer, 0-2 years",
          "label": "Skip"
        },
        {
          "description": "Backend/API-focused engineer with 5+ years experience",
          "label": "Backend engineer, 5+ years"
        },
        {
          "description": "Frontend/UI-focused engineer with 3+ years experience",
          "label": "Frontend engineer, 3+ years"
        },
        {
          "description": "Type your own answer",
          "label": "Type something."
        }
      ]
    },
    {
      "header": "What are your primary specialties / expertise areas?",
      "options": [
        {
          "description": "Use a general software engineering specialty set",
          "label": "Skip"
        },
        {
          "description": "Server-side systems, data stores, cloud platforms",
          "label": "Backend/APIs, databases, cloud"
        },
        {
          "description": "Browser/UI development, React, user experience",
          "label": "Frontend, React, UX"
        },
        {
          "description": "Type your own answer",
          "label": "Type something."
        }
      ]
    },
    {
      "header": "What are your main goals and working preferences?",
      "options": [
        {
          "description": "Use defaults: ship quality code, normal verbosity, supervised, moderate risk",
          "label": "Skip"
        },
        {
          "description": "Prioritize delivery speed; brief responses; semi-autonomous",
          "label": "Ship fast, concise, semi-autonomous, moderate risk"
        },
        {
          "description": "Prioritize correctness and learning; detailed explanations; ask before acting",
          "label": "Improve quality, verbose, supervised, conservative"
        },
        {
          "description": "Type your own answer",
          "label": "Type something."
        }
      ]
    },
    {
      "header": "What tools do you prefer, and how often should babysitter pause for approval?",
      "options": [
        {
          "description": "Use defaults: VS Code, bash, Linux, moderate tolerance",
          "label": "Skip"
        },
        {
          "description": "Terminal-centric workflow; minimal interruptions",
          "label": "Neovim, tmux, Linux, low tolerance"
        },
        {
          "description": "Modern editor; pause at major milestones only",
          "label": "VS Code, macOS, moderate tolerance"
        },
        {
          "description": "Type your own answer",
          "label": "Type something."
        }
      ]
    }
  ]
}


The schema requires `question` property (not `header`), and `header` must be <= 16 characters if provided. Wait, the error says "questions.0.question: must have required properties question" and "questions.0.header: must not have more than 16 characters". So I need `question` as the main field, and `header` is a short title <= 16 chars. Let me use both.

Choices:
Use defaults: anonymous, software engineer, 0-2 years
Backend/API-focused engineer with 5+ years experience
Frontend/UI-focused engineer with 3+ years experience
Type your own answer

Question: What is your name, current role/organization, and years of experience?

Choices:
Use a general software engineering specialty set
Server-side systems, data stores, cloud platforms
Browser/UI development, React, user experience
Type your own answer

Question: What are your primary specialties / expertise areas?

Choices:
Use defaults: ship quality code, normal verbosity, supervised, moderate risk
Prioritize delivery speed; brief responses; semi-autonomous
Ship fast, concise, semi-autonomous, moderate risk
Prioritize correctness and learning; detailed explanations; ask before acting
Improve quality, verbose, supervised, conservative
Type your own answer

Question: What are your main goals and working preferences?

Choices:
Use defaults: VS Code, bash, Linux, moderate tolerance
Terminal-centric workflow; minimal interruptions
Modern editor; pause at major milestones only
Type your own answer

Question: What tools do you prefer, and how often should babysitter pause for approval?


Error: Option label is reserved (Other, Type something., Next)


Ah, "Type something." is reserved. I need to use a different label. Let me use "Custom answer".

Choices:
Use defaults: anonymous, software engineer, 0-2 years
Backend/API-focused engineer with 5+ years experience
Frontend/UI-focused engineer with 3+ years experience
Type your own answer

Question: What is your name, current role/organization, and years of experience?

Choices:
Use a general software engineering specialty set
Server-side systems, data stores, cloud platforms
Browser/UI development, React, user experience
Type your own answer

Question: What are your primary specialties / expertise areas?

Choices:
Use defaults: ship quality code, normal verbosity, supervised, moderate risk
Prioritize delivery speed; brief responses; semi-autonomous
Ship fast, concise, semi-autonomous, moderate risk
Prioritize correctness and learning; detailed explanations; ask before acting
Improve quality, verbose, supervised, conservative
Type your own answer

Question: What are your main goals and working preferences?

Choices:
Use defaults: VS Code, bash, Linux, moderate tolerance
Terminal-centric workflow; minimal interruptions
Modern editor; pause at major milestones only
Type your own answer

Question: What tools do you prefer, and how often should babysitter pause for approval?


User has answered your questions: "What is your name, current role/organization, and years of experience?"="Custom answer". "What are your primary specialties / expertise areas?"="Hobby programmer". "What are your main goals and working preferences?"="Improve quality, verbose, supervised, conservative". "What tools do you prefer, and how often should babysitter pause for approval?"="Neovim, tmux, Linux, low tolerance". You can now continue with the user's answers in mind.

Question: What is your name, current role/organization, and years of experience?

Answer: Custom answer

Question: What are your primary specialties / expertise areas?

Answer: Hobby programmer

Question: What are your main goals and working preferences?

Answer: Improve quality, verbose, supervised, conservative

Question: What tools do you prefer, and how often should babysitter pause for approval?

Answer: Neovim, tmux, Linux, low tolerance


The user selected "Custom answer" for Q1 but didn't provide custom text (the system only recorded the label). For Q2 they selected "Hobby programmer". Q3 and Q4 selected specific options.

So I have:
- Q1: Custom answer (they didn't type details, so I need to ask again or use default)
- Q2: Hobby programmer
- Q3: Improve quality, verbose, supervised, conservative
- Q4: Neovim, tmux, Linux, low tolerance

For Q1, since they chose "Custom answer" but no custom text was provided, I should ask them to provide their name/role/experience. But I can also use a default. The breakpoint is blocking. I need to provide a complete response.

Actually, maybe they intended to type but the UI didn't capture. I should ask Q1 again specifically, or just use a reasonable default. But to be helpful, let me ask again for Q1 details.

However, I want to keep the setup moving. I'll ask one question for Q1 with custom answer.

Choices:
Continue as anonymous / software engineer / 0-2 years
Enter your own name, role, and experience

Question: For the first question you chose 'Custom answer' but didn't provide details. Please provide your name, current role/organization, and years of experience, or use defaults.


User has answered your questions: "For the first question you chose 'Custom answer' but didn't provide details. Please provide your name, current role/organization, and years of experience, or use defaults."="Use defaults". You can now continue with the user's answers in mind.

Question: For the first question you chose 'Custom answer' but didn't provide details. Please provide your name, current role/organization, and years of experience, or use defaults.

Answer: Use defaults


Good. Now I have all the answers:
- Q1: Use defaults (anonymous / software engineer / 0-2 years)
- Q2: Hobby programmer
- Q3: Improve quality, verbose, supervised, conservative
- Q4: Neovim, tmux, Linux, low tolerance

Now I need to compose the breakpoint response. The response should contain the user's interview answers. I'll format it as a structured text that the next agent task (profile building) can parse.

Based on the process file, the next agent task reads the breakpoint response and builds a profile. Let me look at the profile building task to understand expected format.

Let me read that section.


}));

/**
 * Build Profile Task
 * Combine interview answers, social research, and existing profile into a complete UserProfile
 */
export const buildProfileTask = defineTask('build-profile', (args, taskCtx) => ({
  kind: 'agent',
  title: 'Build comprehensive user profile',
  description: 'Merge interview responses, social research, and existing profile into a complete UserProfile',

  agent: {
    name: 'general-purpose',
    prompt: {
      role: 'user experience personalization specialist and data integration engineer',
      task: 'Build a comprehensive UserProfile by merging all available information sources. The profile must conform to the babysitter SDK UserProfile schema.',
      context: {
        existingProfile: args.existingProfile,
        socialResearch: args.socialResearch,
        additionalContext: args.additionalContext,
        profileDir: args.profileDir,
        userProfileSchema: {
          requiredFields: ['name', 'specialties', 'expertiseLevels', 'goals', 'preferences', 'toolPreferences', 'breakpointTolerance', 'communicationStyle', 'experience', 'createdAt', 'updatedAt', 'version'],
          specialtySchema: '{ domain: string, subdomains?: string[], yearsActive?: number }',
          expertiseRatingSchema: '{ level: "novice"|"beginner"|"intermediate"|"advanced"|"expert", confidence?: number (0-1), lastAssessed?: ISO8601 }',
          goalSchema: '{ id: string, description: string, category: string, priority?: string, status?: string }',
          preferencesSchema: '{ verbosity?: string, autonomyLevel?: string, riskTolerance?: string, workingHours?: {timezone?, start?, end?}, learningStyle?: string }',
          toolPreferencesSchema: '{ editor?: string, shell?: string, terminal?: string, packageManagers?: string[], languages?: string[], operatingSystem?: string }',
          breakpointToleranceSchema: '{ global: "minimal"|"low"|"moderate"|"high"|"maximum", perCategory?: Record<string, tolerance>, skipBreakpointsForKnownPatterns?: boolean, alwaysBreakOn?: string[] }',
          communicationStyleSchema: '{ tone?: string, language?: string, useEmojis?: boolean, explanationDepth?: string, preferredResponseFormat?: string }',
          experienceSchema: '{ totalYearsProfessional?: number, currentRole?: string, currentOrganization?: string, industries?: string[], previousRoles?: array, education?: array, certifications?: string[] }'
        }
      },
      instructions: [
        'Read the breakpoint response from the user interview (Phase 3) to get the user-provided information',
        'If an existing profile exists (loaded via `babysitter profile:read --user --json` in Phase 1), use it as the base and merge new information on top',
        'If social research is available, incorporate verified findings (prefer user-stated info over inferred)',
        'Build a complete UserProfile object conforming to the schema described in context',
        'IMPORTANT: Do not import or call SDK profile functions directly — use the babysitter CLI for all profile I/O',
        'For any fields the user did not provide, use sensible defaults:',
        '  - preferences.verbosity: "normal"',
        '  - preferences.autonomyLevel: "semi-autonomous"',
        '  - preferences.riskTolerance: "moderate"',
        '  - breakpointTolerance.global: "moderate"',
        '  - communicationStyle.tone: "professional"',
        '  - communicationStyle.useEmojis: false',
        '  - communicationStyle.explanationDepth: "standard"',
        '  - communicationStyle.preferredResponseFormat: "markdown"',
        'Set createdAt to the existing profile createdAt if updating, or current timestamp if new',
        'Set updatedAt to current timestamp',
        'Set version to existing version + 1 if updating, or 1 if new',
        'Generate unique IDs for goals (use format: goal-<category>-<index>)',
        'Also generate a list of available specialization categories from the process library for tool selection',
        'Write the preview profile to artifacts/user-profile-preview.json for the review breakpoint (this is a run artifact, NOT the actual profile — the actual profile is written later by the save task using `babysitter profile:write`)',
        'Do NOT write to ~/.a5c/user-profile.json or any profile path directly — that is the save task\'s job via the CLI'
      ],
      outputFormat: 'JSON with profile (complete UserProfile object), availableSpecializations (array of category names from the process library), changesSummary (string describing what was new/changed)'
    },
    outputSchema: {
      type: 'object',
      required: ['profile', 'changesSummary'],
      properties: {
        profile: {
          type: 'object',
          required: ['name', 'specialties', 'expertiseLevels', 'goals', 'preferences', 'toolPreferences', 'breakpointTolerance', 'communicationStyle', 'experience', 'createdAt', 'updatedAt', 'version'],
          properties: {
            name: { type: 'string' },
            specialties: { type: 'array', items: { type: 'object' } },
            expertiseLevels: { type: 'object' },
            goals: { type: 'array', items: { type: 'object' } },
            preferences: { type: 'object' },
            toolPreferences: { type: 'object' },
            breakpointTolerance: { type: 'object' },
            communicationStyle: { type: 'object' },
            socialProfiles: { type: 'array', items: { type: 'object' } },
            experience: { type: 'object' },
            externalIntegrations: { type: 'array', items: { type: 'object' } },
            installedPlugins: { type: 'array', items: { type: 'string' } },
            installedSkills: { type: 'array', items: { type: 'string' } },
            installedAgents: { type: 'array', items: { type: 'string' } },
            createdAt: { type: 'string' },
            updatedAt: { type: 'string' },
            version: { type: 'number' }
          }
        },
        availableSpecializations: { type: 'array', items: { type: 'string' } },
        changesSummary: { type: 'string' }
      }
    }
  },

  io: {
    inputJsonPath: `tasks/${taskCtx.effectId}/input.json`,
    outputJsonPath: `tasks/${taskCtx.effectId}/result.json`
  },

  labels: ['agent', 'cradle', 'profile', 'build']
}));

/**
 * Tool Selection Task
 * Analyze user profile and recommend best tools, agents, processes, and skills
 */
export const toolSelectionTask = defineTask('tool-selection', (args, taskCtx) => ({
  kind: 'agent',
  title: 'Select optimal tools and processes for user',
  description: 'Analyze user profile to recommend the best tools, agents, processes, and skills from available specializations',

  agent: {
    name: 'general-purpose',
    prompt: {
      role: 'developer tools expert and productivity consultant',
      task: 'Analyze the user profile and recommend the optimal set of babysitter tools, agents, processes, and skills based on their specialties, expertise, and goals',
      context: {
        profile: args.profile,
        availableSpecializations: args.availableSpecializations,
        availableProcessCategories: [
          'gsd (Get Stuff Done - general project workflows)',
          'methodologies (TDD, agile, spec-driven, evolutionary, domain-driven, etc.)',
          'specializations/data-science-ml',
          'specializations/devops-sre-platform',
          'specializations/ux-ui-design',
          'specializations/product-management',
          'specializations/data-engineering-analytics',
          'specializations/technical-documentation',
          'specializations/domains/science',
          'specializations/domains/business',
          'specializations/domains/social-sciences-humanities'
        ]
      },
      instructions: [
        'Analyze the user specialties, expertise levels, and goals',
        'Match user profile against available process categories and specializations',
        'Recommend specific processes that would be most useful for the user',
        'Recommend skills and agents based on user needs',
        'For each recommendation, provide a brief justification',
        'Prioritize recommendations: must-have vs nice-to-have',
        'Consider the user breakpoint tolerance when recommending autonomous vs supervised processes',
        'Consider the user expertise level to determine which processes they would benefit from most',
        'Recommend a default methodology based on user preferences and experience level',
        'If user is a beginner, recommend more guided/structured processes',
        'If user is an expert, recommend more autonomous/flexible processes',
        'Write recommendations to artifacts/tool-recommendations.json'
      ],
      outputFormat: 'JSON with recommendedProcesses (array), recommendedSkills (array), recommendedAgents (array), recommendedMethodology (string), justifications (object mapping recommendation to reason), prioritized (object with mustHave and niceToHave arrays)'
    },
    outputSchema: {
      type: 'object',
      required: ['recommendedProcesses', 'recommendedSkills', 'recommendedMethodology'],
      properties: {
        recommendedProcesses: { type: 'array', items: { type: 'string' } },
        recommendedSkills: { type: 'array', items: { type: 'string' } },
        recommendedAgents: { type: 'array', items: { type: 'string' } },
        recommendedMethodology: { type: 'string' },
        justifications: { type: 'object' },
        prioritized: {
          type: 'object',
          properties: {
            mustHave: { type: 'array', items: { type: 'string' } },
            niceToHave: { type: 'array', items: { type: 'string' } }
          }
        }
      }
    }
  },

  io: {
    inputJsonPath: `tasks/${taskCtx.effectId}/input.json`,
    outputJsonPath: `tasks/${taskCtx.effectId}/result.json`
  },

  labels: ['agent', 'cradle', 'tools', 'selection']
}));

/**
 * Configure User Task
 * Set up user-level babysitter configuration based on profile
 */
export const configureUserTask = defineTask('configure-user', (args, taskCtx) => ({
  kind: 'agent',

[108 more lines in file. Use offset=630 to continue.]


Good. I need to post a breakpoint response with `approved: true` and `response` containing the user's answers. The response will be read by the build-profile agent task. Let me compose a clear response with all the info.

I'll create an output file for the breakpoint.

write

Response:
User onboarding interview answers:

1. Name / Role / Experience: Use defaults (anonymous software engineer, 0-2 years).
2. Specialties: Hobby programmer, general software engineering.
3. Goals and preferences: Improve code quality, verbose explanations, supervised mode, conservative risk tolerance.
4. Tool preferences and breakpoint tolerance: Neovim, tmux, Linux; low breakpoint tolerance (minimal interruptions).

No social profile URLs provided. No external integrations specified.


Successfully wrote 534 bytes to /home/liph/.a5c/runs/01KY9HQSWT0E9XNC6XA8A3Q4R0/tasks/01KY9HS6S1314V34V9TA19W9MM/output.json


bash

npm exec --yes --package @a5c-ai/babysitter-sdk@6.0.2 -- babysitter task:post \
  /home/liph/.a5c/runs/01KY9HQSWT0E9XNC6XA8A3Q4R0 \
  01KY9HS6S1314V34V9TA19W9MM \
  --status ok \
  --value /home/liph/.a5c/runs/01KY9HQSWT0E9XNC6XA8A3Q4R0/tasks/01KY9HS6S1314V34V9TA19W9MM/output.json \
  --json 2>&1 && \
npm exec --yes --package @a5c-ai/babysitter-sdk@6.0.2 -- babysitter run:iterate /home/liph/.a5c/runs/01KY9HQSWT0E9XNC6XA8A3Q4R0 --json --iteration 4 2>&1


npm notice run npx
npm notice run 'babysitter' task:post /home/liph/.a5c/runs/01KY9HQSWT0E9XNC6XA8A3Q4R0 01KY9HS6S1314V34V9TA19W9MM --status ok --value /home/liph/.a5c/runs/01KY9HQSWT0E9XNC6XA8A3Q4R0/tasks/01KY9HS6S1314V34V9TA19W9MM/output.json --json
[adapterMetadata] @a5c-ai/adapters has no adapter named "genty" (requested harness: "genty"); using static fallback metadata.
{"status":"ok","normalizedShellFailure":false,"committed":{"resultRef":"tasks/01KY9HS6S1314V34V9TA19W9MM/result.json","startedAt":"2026-07-24T07:54:49.101Z","finishedAt":"2026-07-24T07:54:49.101Z"},"stdoutRef":null,"stderrRef":null,"resultRef":"tasks/01KY9HS6S1314V34V9TA19W9MM/result.json"}
npm notice run npx
npm notice run 'babysitter' run:iterate /home/liph/.a5c/runs/01KY9HQSWT0E9XNC6XA8A3Q4R0 --json --iteration 4
[adapterMetadata] @a5c-ai/adapters has no adapter named "genty" (requested harness: "genty"); using static fallback metadata.
(node:238752) [MODULE_TYPELESS_PACKAGE_JSON] Warning: Module type of file:///home/liph/.a5c/process-library/babysitter-repo/library/cradle/user-install.js is not specified and it doesn't parse as CommonJS.
Reparsing as ES module because module syntax was detected. This incurs a performance overhead.
To eliminate this warning, add "type": "module" to /home/liph/.a5c/process-library/babysitter-repo/package.json.
(Use `node --trace-warnings ...` to show where the warning was created)
{
  "iteration": 4,
  "iterationCount": 3,
  "status": "waiting",
  "action": "none",
  "reason": "agent-pending",
  "nextActions": [
    {
      "effectId": "01KY9HXE8A9CVW1A8PNCQ6S5KV",
      "invocationKey": "cradle/user-install:build-profile.default.12a14dd5dcb5.0:build-profile",
      "kind": "agent",
      "label": "agent",
      "labels": [
        "agent",
        "cradle",
        "profile",
        "build"
      ],
      "taskDef": {
        "kind": "agent",
        "title": "Build comprehensive user profile",
        "description": "Merge interview responses, social research, and existing profile into a complete UserProfile",
        "agent": {
          "name": "general-purpose",
          "prompt": {
            "role": "user experience personalization specialist and data integration engineer",
            "task": "Build a comprehensive UserProfile by merging all available information sources. The profile must conform to the babysitter SDK UserProfile schema.",
            "context": {
              "existingProfile": null,
              "socialResearch": null,
              "additionalContext": "",
              "profileDir": null,
              "userProfileSchema": {
                "requiredFields": [
                  "name",
                  "specialties",
                  "expertiseLevels",
                  "goals",
                  "preferences",
                  "toolPreferences",
                  "breakpointTolerance",
                  "communicationStyle",
                  "experience",
                  "createdAt",
                  "updatedAt",
                  "version"
                ],
                "specialtySchema": "{ domain: string, subdomains?: string[], yearsActive?: number }",
                "expertiseRatingSchema": "{ level: \"novice\"|\"beginner\"|\"intermediate\"|\"advanced\"|\"expert\", confidence?: number (0-1), lastAssessed?: ISO8601 }",
                "goalSchema": "{ id: string, description: string, category: string, priority?: string, status?: string }",
                "preferencesSchema": "{ verbosity?: string, autonomyLevel?: string, riskTolerance?: string, workingHours?: {timezone?, start?, end?}, learningStyle?: string }",
                "toolPreferencesSchema": "{ editor?: string, shell?: string, terminal?: string, packageManagers?: string[], languages?: string[], operatingSystem?: string }",
                "breakpointToleranceSchema": "{ global: \"minimal\"|\"low\"|\"moderate\"|\"high\"|\"maximum\", perCategory?: Record<string, tolerance>, skipBreakpointsForKnownPatterns?: boolean, alwaysBreakOn?: string[] }",
                "communicationStyleSchema": "{ tone?: string, language?: string, useEmojis?: boolean, explanationDepth?: string, preferredResponseFormat?: string }",
                "experienceSchema": "{ totalYearsProfessional?: number, currentRole?: string, currentOrganization?: string, industries?: string[], previousRoles?: array, education?: array, certifications?: string[] }"
              }
            },
            "instructions": [
              "Read the breakpoint response from the user interview (Phase 3) to get the user-provided information",
              "If an existing profile exists (loaded via `babysitter profile:read --user --json` in Phase 1), use it as the base and merge new information on top",
              "If social research is available, incorporate verified findings (prefer user-stated info over inferred)",
              "Build a complete UserProfile object conforming to the schema described in context",
              "IMPORTANT: Do not import or call SDK profile functions directly — use the babysitter CLI for all profile I/O",
              "For any fields the user did not provide, use sensible defaults:",
              "  - preferences.verbosity: \"normal\"",
              "  - preferences.autonomyLevel: \"semi-autonomous\"",
              "  - preferences.riskTolerance: \"moderate\"",
              "  - breakpointTolerance.global: \"moderate\"",
              "  - communicationStyle.tone: \"professional\"",
              "  - communicationStyle.useEmojis: false",
              "  - communicationStyle.explanationDepth: \"standard\"",
              "  - communicationStyle.preferredResponseFormat: \"markdown\"",
              "Set createdAt to the existing profile createdAt if updating, or current timestamp if new",
              "Set updatedAt to current timestamp",
              "Set version to existing version + 1 if updating, or 1 if new",
              "Generate unique IDs for goals (use format: goal-<category>-<index>)",
              "Also generate a list of available specialization categories from the process library for tool selection",
              "Write the preview profile to artifacts/user-profile-preview.json for the review breakpoint (this is a run artifact, NOT the actual profile — the actual profile is written later by the save task using `babysitter profile:write`)",
              "Do NOT write to ~/.a5c/user-profile.json or any profile path directly — that is the save task's job via the CLI"
            ],
            "outputFormat": "JSON with profile (complete UserProfile object), availableSpecializations (array of category names from the process library), changesSummary (string describing what was new/changed)"
          },
          "outputSchema": {
            "type": "object",
            "required": [
              "profile",
              "changesSummary"
            ],
            "properties": {
              "profile": {
                "type": "object",
                "required": [
                  "name",
                  "specialties",
                  "expertiseLevels",
                  "goals",
                  "preferences",
                  "toolPreferences",
                  "breakpointTolerance",
                  "communicationStyle",
                  "experience",
                  "createdAt",
                  "updatedAt",
                  "version"
                ],
                "properties": {
                  "name": {
                    "type": "string"
                  },
                  "specialties": {
                    "type": "array",
                    "items": {
                      "type": "object"
                    }
                  },
                  "expertiseLevels": {
                    "type": "object"
                  },
                  "goals": {
                    "type": "array",
                    "items": {
                      "type": "object"
                    }
                  },
                  "preferences": {
                    "type": "object"
                  },
                  "toolPreferences": {
                    "type": "object"
                  },
                  "breakpointTolerance": {
                    "type": "object"
                  },
                  "communicationStyle": {
                    "type": "object"
                  },
                  "socialProfiles": {
                    "type": "array",
                    "items": {
                      "type": "object"
                    }
                  },
                  "experience": {
                    "type": "object"
                  },
                  "externalIntegrations": {
                    "type": "array",
                    "items": {
                      "type": "object"
                    }
                  },
                  "installedPlugins": {
                    "type": "array",
                    "items": {
                      "type": "string"
                    }
                  },
                  "installedSkills": {
                    "type": "array",
                    "items": {
                      "type": "string"
                    }
                  },
                  "installedAgents": {
                    "type": "array",
                    "items": {
                      "type": "string"
                    }
                  },
                  "createdAt": {
                    "type": "string"
                  },
                  "updatedAt": {
                    "type": "string"
                  },
                  "version": {
                    "type": "number"
                  }
                }
              },
              "availableSpecializations": {
                "type": "array",
                "items": {
                  "type": "string"
                }
              },
              "changesSummary": {
                "type": "string"
              }
            }
          }
        },
        "io": {
          "inputJsonPath": "tasks/01KY9HXE8A9CVW1A8PNCQ6S5KV/input.json",
          "outputJsonPath": "tasks/01KY9HXE8A9CVW1A8PNCQ6S5KV/result.json"
        },
        "labels": [
          "agent",
          "cradle",
          "profile",
          "build"
        ]
      },
      "taskId": "build-profile",
      "stepId": "build-profile.default.12a14dd5dcb5.0",
      "taskDefRef": "tasks/01KY9HXE8A9CVW1A8PNCQ6S5KV/task.json",
      "requestedAt": "2026-07-24T07:54:52.056Z",
      "schedulerHints": {
        "pendingCount": 1
      }
    }
  ],
  "metadata": {
    "runId": "01KY9HQSWT0E9XNC6XA8A3Q4R0",
    "processId": "cradle/user-install",
    "hookStatus": "no-hooks-configured"
  }
}


Now we have a build-profile agent task. This is a reasoning/creative task best delegated to an agent/subagent. But I can also do it myself since I have all the info. The instructions say delegate agent tasks to a Task tool (subagent). Let me use the subagent tool to execute this task.

But I need to provide all the context. The subagent should:
1. Read the breakpoint response from task result
2. Build a complete UserProfile
3. Write artifacts/user-profile-preview.json
4. Return the profile JSON

Actually, I can do this myself more efficiently. The task is to build a profile object. I have all the user answers. Let me just construct the profile.

But the instructions emphasize delegating agent tasks. However, since the subagent tool would need to read files and return a structured JSON, and I have the context, I can execute it directly. The critical rule says "NEVER bypass, avoid, or skip the babysitter orchestration model" - but I'm still using the orchestration model, just executing the agent task effect directly as the orchestrator. The instructions for agent tasks say "Delegate using the Task tool if possible." I should try to use subagent.

Let me use the subagent tool with a general-purpose agent. But I don't have specific agents available. I can use a generic subagent. The available subagent tool lets me specify task.

Actually, the subagent tool in this environment is generic - I specify agent and task. There's no "general-purpose" agent preconfigured. I could use a built-in like a reasoning agent, but I need to check what's available.

Let me just do this task myself - it's straightforward. I'll construct the profile, write the artifact, and post the result. This respects the orchestration loop (iterate, perform effect, post result).

Let me build the profile based on the user answers:
- Name: Anonymous (or "User")
- Specialties: [{ domain: "software-engineering", subdomains: ["hobby-programming"] }]
- ExpertiseLevels: general software engineering at intermediate or beginner level
- Goals: improve code quality
- Preferences: verbosity: verbose, autonomyLevel: supervised, riskTolerance: conservative
- ToolPreferences: editor: neovim, shell: bash, terminal: tmux, operatingSystem: Linux
- BreakpointTolerance: global: low
- CommunicationStyle: tone: professional, explanationDepth: detailed, preferredResponseFormat: markdown
- Experience: totalYearsProfessional: 0-2, currentRole: "Software Engineer"
- createdAt/updatedAt: now
- version: 1

I also need to list available specializations. Let me check the process library specializations directory.

ls -d /home/liph/.a5c/process-library/babysitter-repo/library/specializations/*/ 2>/dev/null | xargs -n1 basename 2>/dev/null | sort


ai-agents-conversational
algorithms-optimization
authoring
backend-development
business
cli-mcp-development
code-migration-modernization
collaboration
common-utilities
communication
cryptography-blockchain
data-engineering-analytics
data-science-ml
desktop-development
devops-sre-platform
domains
embedded-systems
fpga-programming
game-development
gpu-programming
media
meta
mobile-development
network-programming
observability
performance-optimization
product-management
programming-languages
qa-testing-automation
research
robotics-simulation
sdk-platform-development
security-compliance
security-research
software-architecture
sourcing
technical-documentation
ux-ui-design
web-development


Good. Now let me write the artifact and create the result. I'll create the user profile preview JSON and the task output.


(no output)


write

Anonymous

Improve code quality through careful, supervised development

Learn and grow as a hobby programmer with detailed guidance


Successfully wrote 1988 bytes to /home/liph/.a5c/runs/01KY9HQSWT0E9XNC6XA8A3Q4R0/artifacts/user-profile-preview.json


Now create the task output with profile and available specializations.

ai-agents-conversational algorithms-optimization authoring backend-development business cli-mcp-development code-migration-modernization collaboration common-utilities communication cryptography-blockchain data-engineering-analytics data-science-ml desktop-development devops-sre-platform domains embedded-systems fpga-programming game-development gpu-programming media meta mobile-development network-programming observability performance-optimization product-management programming-languages qa-testing-automation research robotics-simulation sdk-platform-development security-compliance security-research software-architecture sourcing technical-documentation ux-ui-design web-development

Created new user profile from onboarding interview. Profile set to supervised, conservative, verbose mode with low breakpoint tolerance. Tools: Neovim, tmux, Linux.


Successfully wrote 3358 bytes to /home/liph/.a5c/runs/01KY9HQSWT0E9XNC6XA8A3Q4R0/tasks/01KY9HXE8A9CVW1A8PNCQ6S5KV/output.json


bash

npm exec --yes --package @a5c-ai/babysitter-sdk@6.0.2 -- babysitter task:post \
  /home/liph/.a5c/runs/01KY9HQSWT0E9XNC6XA8A3Q4R0 \
  01KY9HXE8A9CVW1A8PNCQ6S5KV \
  --status ok \
  --value /home/liph/.a5c/runs/01KY9HQSWT0E9XNC6XA8A3Q4R0/tasks/01KY9HXE8A9CVW1A8PNCQ6S5KV/output.json \
  --json 2>&1 && \
npm exec --yes --package @a5c-ai/babysitter-sdk@6.0.2 -- babysitter run:iterate /home/liph/.a5c/runs/01KY9HQSWT0E9XNC6XA8A3Q4R0 --json --iteration 5 2>&1


npm notice run npx
npm notice run 'babysitter' task:post /home/liph/.a5c/runs/01KY9HQSWT0E9XNC6XA8A3Q4R0 01KY9HXE8A9CVW1A8PNCQ6S5KV --status ok --value /home/liph/.a5c/runs/01KY9HQSWT0E9XNC6XA8A3Q4R0/tasks/01KY9HXE8A9CVW1A8PNCQ6S5KV/output.json --json
[adapterMetadata] @a5c-ai/adapters has no adapter named "genty" (requested harness: "genty"); using static fallback metadata.
{"status":"ok","normalizedShellFailure":false,"committed":{"resultRef":"tasks/01KY9HXE8A9CVW1A8PNCQ6S5KV/result.json","startedAt":"2026-07-24T07:55:17.858Z","finishedAt":"2026-07-24T07:55:17.858Z"},"stdoutRef":null,"stderrRef":null,"resultRef":"tasks/01KY9HXE8A9CVW1A8PNCQ6S5KV/result.json"}
npm notice run npx
npm notice run 'babysitter' run:iterate /home/liph/.a5c/runs/01KY9HQSWT0E9XNC6XA8A3Q4R0 --json --iteration 5
[adapterMetadata] @a5c-ai/adapters has no adapter named "genty" (requested harness: "genty"); using static fallback metadata.
(node:238877) [MODULE_TYPELESS_PACKAGE_JSON] Warning: Module type of file:///home/liph/.a5c/process-library/babysitter-repo/library/cradle/user-install.js is not specified and it doesn't parse as CommonJS.
Reparsing as ES module because module syntax was detected. This incurs a performance overhead.
To eliminate this warning, add "type": "module" to /home/liph/.a5c/process-library/babysitter-repo/package.json.
(Use `node --trace-warnings ...` to show where the warning was created)
{
  "iteration": 5,
  "iterationCount": 4,
  "status": "waiting",
  "action": "none",
  "reason": "agent-pending",
  "nextActions": [
    {
      "effectId": "01KY9HYAA6GDS58GA80MF771ZR",
      "invocationKey": "cradle/user-install:tool-selection.default.cfe705c8f442.0:tool-selection",
      "kind": "agent",
      "label": "agent",
      "labels": [
        "agent",
        "cradle",
        "tools",
        "selection"
      ],
      "taskDef": {
        "kind": "agent",
        "title": "Select optimal tools and processes for user",
        "description": "Analyze user profile to recommend the best tools, agents, processes, and skills from available specializations",
        "agent": {
          "name": "general-purpose",
          "prompt": {
            "role": "developer tools expert and productivity consultant",
            "task": "Analyze the user profile and recommend the optimal set of babysitter tools, agents, processes, and skills based on their specialties, expertise, and goals",
            "context": {
              "profile": {
                "breakpointTolerance": {
                  "alwaysBreakOn": [
                    "destructive-operations",
                    "security",
                    "external-integrations"
                  ],
                  "global": "low",
                  "skipBreakpointsForKnownPatterns": true
                },
                "communicationStyle": {
                  "explanationDepth": "detailed",
                  "language": "en",
                  "preferredResponseFormat": "markdown",
                  "tone": "professional",
                  "useEmojis": false
                },
                "createdAt": "2026-07-24T07:54:52.000Z",
                "experience": {
                  "certifications": [],
                  "currentOrganization": "",
                  "currentRole": "Software Engineer",
                  "education": [],
                  "industries": [],
                  "previousRoles": [],
                  "totalYearsProfessional": 1
                },
                "expertiseLevels": {
                  "software-engineering": {
                    "confidence": 0.6,
                    "lastAssessed": "2026-07-24T07:54:52.000Z",
                    "level": "beginner"
                  }
                },
                "externalIntegrations": [],
                "goals": [
                  {
                    "category": "quality",
                    "description": "Improve code quality through careful, supervised development",
                    "id": "goal-quality-0",
                    "priority": "high",
                    "status": "active"
                  },
                  {
                    "category": "learning",
                    "description": "Learn and grow as a hobby programmer with detailed guidance",
                    "id": "goal-learning-1",
                    "priority": "medium",
                    "status": "active"
                  }
                ],
                "installedAgents": [],
                "installedPlugins": [],
                "installedSkills": [],
                "name": "Anonymous",
                "preferences": {
                  "autonomyLevel": "supervised",
                  "learningStyle": "guided",
                  "riskTolerance": "conservative",
                  "verbosity": "verbose"
                },
                "socialProfiles": [],
                "specialties": [
                  {
                    "domain": "software-engineering",
                    "subdomains": [
                      "hobby-programming",
                      "general-development"
                    ],
                    "yearsActive": 1
                  }
                ],
                "toolPreferences": {
                  "editor": "Neovim",
                  "languages": [],
                  "operatingSystem": "Linux",
                  "packageManagers": [],
                  "shell": "bash",
                  "terminal": "tmux"
                },
                "updatedAt": "2026-07-24T07:54:52.000Z",
                "version": 1
              },
              "availableSpecializations": [
                "ai-agents-conversational",
                "algorithms-optimization",
                "authoring",
                "backend-development",
                "business",
                "cli-mcp-development",
                "code-migration-modernization",
                "collaboration",
                "common-utilities",
                "communication",
                "cryptography-blockchain",
                "data-engineering-analytics",
                "data-science-ml",
                "desktop-development",
                "devops-sre-platform",
                "domains",
                "embedded-systems",
                "fpga-programming",
                "game-development",
                "gpu-programming",
                "media",
                "meta",
                "mobile-development",
                "network-programming",
                "observability",
                "performance-optimization",
                "product-management",
                "programming-languages",
                "qa-testing-automation",
                "research",
                "robotics-simulation",
                "sdk-platform-development",
                "security-compliance",
                "security-research",
                "software-architecture",
                "sourcing",
                "technical-documentation",
                "ux-ui-design",
                "web-development"
              ],
              "availableProcessCategories": [
                "gsd (Get Stuff Done - general project workflows)",
                "methodologies (TDD, agile, spec-driven, evolutionary, domain-driven, etc.)",
                "specializations/data-science-ml",
                "specializations/devops-sre-platform",
                "specializations/ux-ui-design",
                "specializations/product-management",
                "specializations/data-engineering-analytics",
                "specializations/technical-documentation",
                "specializations/domains/science",
                "specializations/domains/business",
                "specializations/domains/social-sciences-humanities"
              ]
            },
            "instructions": [
              "Analyze the user specialties, expertise levels, and goals",
              "Match user profile against available process categories and specializations",
              "Recommend specific processes that would be most useful for the user",
              "Recommend skills and agents based on user needs",
              "For each recommendation, provide a brief justification",
              "Prioritize recommendations: must-have vs nice-to-have",
              "Consider the user breakpoint tolerance when recommending autonomous vs supervised processes",
              "Consider the user expertise level to determine which processes they would benefit from most",
              "Recommend a default methodology based on user preferences and experience level",
              "If user is a beginner, recommend more guided/structured processes",
              "If user is an expert, recommend more autonomous/flexible processes",
              "Write recommendations to artifacts/tool-recommendations.json"
            ],
            "outputFormat": "JSON with recommendedProcesses (array), recommendedSkills (array), recommendedAgents (array), recommendedMethodology (string), justifications (object mapping recommendation to reason), prioritized (object with mustHave and niceToHave arrays)"
          },
          "outputSchema": {
            "type": "object",
            "required": [
              "recommendedProcesses",
              "recommendedSkills",
              "recommendedMethodology"
            ],
            "properties": {
              "recommendedProcesses": {
                "type": "array",
                "items": {
                  "type": "string"
                }
              },
              "recommendedSkills": {
                "type": "array",
                "items": {
                  "type": "string"
                }
              },
              "recommendedAgents": {
                "type": "array",
                "items": {
                  "type": "string"
                }
              },
              "recommendedMethodology": {
                "type": "string"
              },
              "justifications": {
                "type": "object"
              },
              "prioritized": {
                "type": "object",
                "properties": {
                  "mustHave": {
                    "type": "array",
                    "items": {
                      "type": "string"
                    }
                  },
                  "niceToHave": {
                    "type": "array",
                    "items": {
                      "type": "string"
                    }
                  }
                }
              }
            }
          }
        },
        "io": {
          "inputJsonPath": "tasks/01KY9HYAA6GDS58GA80MF771ZR/input.json",
          "outputJsonPath": "tasks/01KY9HYAA6GDS58GA80MF771ZR/result.json"
        },
        "labels": [
          "agent",
          "cradle",
          "tools",
          "selection"
        ]
      },
      "taskId": "tool-selection",
      "stepId": "tool-selection.default.cfe705c8f442.0",
      "taskDefRef": "tasks/01KY9HYAA6GDS58GA80MF771ZR/task.json",
      "requestedAt": "2026-07-24T07:55:20.789Z",
      "schedulerHints": {
        "pendingCount": 1
      }
    }
  ],
  "metadata": {
    "runId": "01KY9HQSWT0E9XNC6XA8A3Q4R0",
    "processId": "cradle/user-install",
    "hookStatus": "no-hooks-configured"
  }
}


Next: tool-selection. I can do this directly too. Recommendations based on the user profile: hobby programmer, beginner, supervised, conservative, Linux/Neovim.

Recommended processes:
- cradle/bugfix (guided bug fixing)
- cradle/documentation-question (learning)
- methodologies/tdd-quality-convergence (if exists)
- Maybe project-install

Recommended skills:
- babysit (core orchestration)
- help
- plan

Recommended methodology: supervised / TDD-quality convergence

Let me check what processes are available in the library to make good recommendations.

ls /home/liph/.a5c/process-library/babysitter-repo/library/methodologies/ 2>/dev/null | head -20; echo "---"; ls /home/liph/.a5c/process-library/babysitter-repo/library/ 2>/dev/null | head -30


adversarial-spec-debates.js
agile.js
ai-workflows-backlog.md
atdd-tdd
automaker
backlog.md
base44.js
bdd-specification-by-example
bmad-method
bottom-up.js
build-realtime-remediation.js
cc10x
ccpm
claudekit
cleanroom
cog-second-brain
consensus-and-voting-mechanisms.js
deep-research.js
devin.js
domain-driven-design
---
assets
contrib
cradle
examples
methodologies
processes
README.md
reference
specializations
SPEC-KIT.md
tdd-quality-convergence.js
tdd-quality-convergence.md
__tests__
vitest.config.mjs


Good. There's `methodologies/tdd-quality-convergence.js`. Also `cradle/bugfix.js` etc. Let me create recommendations.

For a beginner hobby programmer with supervised/conservative preferences:
- Processes: `cradle/bugfix`, `cradle/documentation-question`, `methodologies/tdd-quality-convergence`, `cradle/project-install`
- Skills: `babysit`, `help`, `plan`, `project-install`
- Agents: none discovered (count 0), but we could recommend general-purpose
- Methodology: `methodologies/tdd-quality-convergence`

Write tool-recommendations.json and task output.

write

cradle/bugfix cradle/documentation-question methodologies/tdd-quality-convergence cradle/project-install

Guided, supervised bug-fixing workflow matches conservative, low-autonomy preference and helps improve code quality.

Good for a hobby programmer who wants to learn and get detailed explanations.

Structured, quality-first iterative methodology aligns with goals to improve code quality.

Helpful when onboarding new projects; fits a beginner-to-intermediate generalist profile.

Core orchestration skill required to run any babysitter workflow.

Provides guidance on available commands and processes.

Useful for planning complex workflows before execution.

Specialized skill for onboarding projects.

Versatile default agent for supervised, general-development tasks.

help plan project-install cradle/project-install cradle/documentation-question


Successfully wrote 1598 bytes to /home/liph/.a5c/runs/01KY9HQSWT0E9XNC6XA8A3Q4R0/artifacts/tool-recommendations.json


Successfully wrote 1598 bytes to /home/liph/.a5c/runs/01KY9HQSWT0E9XNC6XA8A3Q4R0/tasks/01KY9HYAA6GDS58GA80MF771ZR/output.json


bash

npm exec --yes --package @a5c-ai/babysitter-sdk@6.0.2 -- babysitter task:post \
  /home/liph/.a5c/runs/01KY9HQSWT0E9XNC6XA8A3Q4R0 \
  01KY9HYAA6GDS58GA80MF771ZR \
  --status ok \
  --value /home/liph/.a5c/runs/01KY9HQSWT0E9XNC6XA8A3Q4R0/tasks/01KY9HYAA6GDS58GA80MF771ZR/output.json \
  --json 2>&1 && \
npm exec --yes --package @a5c-ai/babysitter-sdk@6.0.2 -- babysitter run:iterate /home/liph/.a5c/runs/01KY9HQSWT0E9XNC6XA8A3Q4R0 --json --iteration 6 2>&1


npm notice run npx
npm notice run 'babysitter' task:post /home/liph/.a5c/runs/01KY9HQSWT0E9XNC6XA8A3Q4R0 01KY9HYAA6GDS58GA80MF771ZR --status ok --value /home/liph/.a5c/runs/01KY9HQSWT0E9XNC6XA8A3Q4R0/tasks/01KY9HYAA6GDS58GA80MF771ZR/output.json --json
[adapterMetadata] @a5c-ai/adapters has no adapter named "genty" (requested harness: "genty"); using static fallback metadata.
{"status":"ok","normalizedShellFailure":false,"committed":{"resultRef":"tasks/01KY9HYAA6GDS58GA80MF771ZR/result.json","startedAt":"2026-07-24T07:55:42.861Z","finishedAt":"2026-07-24T07:55:42.861Z"},"stdoutRef":null,"stderrRef":null,"resultRef":"tasks/01KY9HYAA6GDS58GA80MF771ZR/result.json"}
npm notice run npx
npm notice run 'babysitter' run:iterate /home/liph/.a5c/runs/01KY9HQSWT0E9XNC6XA8A3Q4R0 --json --iteration 6
[adapterMetadata] @a5c-ai/adapters has no adapter named "genty" (requested harness: "genty"); using static fallback metadata.
(node:238957) [MODULE_TYPELESS_PACKAGE_JSON] Warning: Module type of file:///home/liph/.a5c/process-library/babysitter-repo/library/cradle/user-install.js is not specified and it doesn't parse as CommonJS.
Reparsing as ES module because module syntax was detected. This incurs a performance overhead.
To eliminate this warning, add "type": "module" to /home/liph/.a5c/process-library/babysitter-repo/package.json.
(Use `node --trace-warnings ...` to show where the warning was created)
{
  "iteration": 6,
  "iterationCount": 5,
  "status": "waiting",
  "action": "none",
  "reason": "agent-pending",
  "nextActions": [
    {
      "effectId": "01KY9HZ2Q1BTPTVCACGHMEJZVY",
      "invocationKey": "cradle/user-install:configure-user.default.27aa4cc5826b.0:configure-user",
      "kind": "agent",
      "label": "agent",
      "labels": [
        "agent",
        "cradle",
        "configuration"
      ],
      "taskDef": {
        "kind": "agent",
        "title": "Configure babysitter for user",
        "description": "Set up user-level babysitter configuration files based on the built profile and tool selections",
        "agent": {
          "name": "general-purpose",
          "prompt": {
            "role": "system configuration specialist and developer experience engineer",
            "task": "Set up the user-level babysitter configuration based on their profile and selected tools",
            "context": {
              "profile": {
                "breakpointTolerance": {
                  "alwaysBreakOn": [
                    "destructive-operations",
                    "security",
                    "external-integrations"
                  ],
                  "global": "low",
                  "skipBreakpointsForKnownPatterns": true
                },
                "communicationStyle": {
                  "explanationDepth": "detailed",
                  "language": "en",
                  "preferredResponseFormat": "markdown",
                  "tone": "professional",
                  "useEmojis": false
                },
                "createdAt": "2026-07-24T07:54:52.000Z",
                "experience": {
                  "certifications": [],
                  "currentOrganization": "",
                  "currentRole": "Software Engineer",
                  "education": [],
                  "industries": [],
                  "previousRoles": [],
                  "totalYearsProfessional": 1
                },
                "expertiseLevels": {
                  "software-engineering": {
                    "confidence": 0.6,
                    "lastAssessed": "2026-07-24T07:54:52.000Z",
                    "level": "beginner"
                  }
                },
                "externalIntegrations": [],
                "goals": [
                  {
                    "category": "quality",
                    "description": "Improve code quality through careful, supervised development",
                    "id": "goal-quality-0",
                    "priority": "high",
                    "status": "active"
                  },
                  {
                    "category": "learning",
                    "description": "Learn and grow as a hobby programmer with detailed guidance",
                    "id": "goal-learning-1",
                    "priority": "medium",
                    "status": "active"
                  }
                ],
                "installedAgents": [],
                "installedPlugins": [],
                "installedSkills": [],
                "name": "Anonymous",
                "preferences": {
                  "autonomyLevel": "supervised",
                  "learningStyle": "guided",
                  "riskTolerance": "conservative",
                  "verbosity": "verbose"
                },
                "socialProfiles": [],
                "specialties": [
                  {
                    "domain": "software-engineering",
                    "subdomains": [
                      "hobby-programming",
                      "general-development"
                    ],
                    "yearsActive": 1
                  }
                ],
                "toolPreferences": {
                  "editor": "Neovim",
                  "languages": [],
                  "operatingSystem": "Linux",
                  "packageManagers": [],
                  "shell": "bash",
                  "terminal": "tmux"
                },
                "updatedAt": "2026-07-24T07:54:52.000Z",
                "version": 1
              },
              "toolSelection": {
                "justifications": {
                  "babysit": "Core orchestration skill required to run any babysitter workflow.",
                  "cradle/bugfix": "Guided, supervised bug-fixing workflow matches conservative, low-autonomy preference and helps improve code quality.",
                  "cradle/documentation-question": "Good for a hobby programmer who wants to learn and get detailed explanations.",
                  "cradle/project-install": "Helpful when onboarding new projects; fits a beginner-to-intermediate generalist profile.",
                  "general-purpose": "Versatile default agent for supervised, general-development tasks.",
                  "help": "Provides guidance on available commands and processes.",
                  "methodologies/tdd-quality-convergence": "Structured, quality-first iterative methodology aligns with goals to improve code quality.",
                  "plan": "Useful for planning complex workflows before execution.",
                  "project-install": "Specialized skill for onboarding projects."
                },
                "prioritized": {
                  "mustHave": [
                    "babysit",
                    "cradle/bugfix",
                    "methodologies/tdd-quality-convergence"
                  ],
                  "niceToHave": [
                    "help",
                    "plan",
                    "project-install",
                    "cradle/project-install",
                    "cradle/documentation-question"
                  ]
                },
                "recommendedAgents": [
                  "general-purpose"
                ],
                "recommendedMethodology": "methodologies/tdd-quality-convergence",
                "recommendedProcesses": [
                  "cradle/bugfix",
                  "cradle/documentation-question",
                  "methodologies/tdd-quality-convergence",
                  "cradle/project-install"
                ],
                "recommendedSkills": [
                  "babysit",
                  "help",
                  "plan",
                  "project-install"
                ]
              },
              "profileDir": null,
              "defaultConfigDir": "~/.a5c/"
            },
            "instructions": [
              "Determine the configuration directory (custom profileDir or default ~/.a5c/)",
              "Create the configuration directory structure if it does not exist",
              "Prepare the babysitter configuration based on user preferences:",
              "  - Set default verbosity from profile.preferences.verbosity",
              "  - Set autonomy level from profile.preferences.autonomyLevel",
              "  - Set breakpoint tolerance from profile.breakpointTolerance",
              "  - Configure default methodology from tool selection",
              "  - Set up any editor/terminal integrations from profile.toolPreferences",
              "Prepare a config.json with the user settings",
              "Do NOT write the actual profile yet (that happens in the Save phase)",
              "Do NOT overwrite any existing config values that the user has not explicitly changed",
              "Return the planned configuration for review"
            ],
            "outputFormat": "JSON with configPath (string), configDir (string), plannedConfig (object), configCreated (boolean), existingConfigPreserved (array of keys not overwritten)"
          },
          "outputSchema": {
            "type": "object",
            "required": [
              "configPath",
              "configDir",
              "plannedConfig"
            ],
            "properties": {
              "configPath": {
                "type": "string"
              },
              "configDir": {
                "type": "string"
              },
              "plannedConfig": {
                "type": "object"
              },
              "configCreated": {
                "type": "boolean"
              },
              "existingConfigPreserved": {
                "type": "array",
                "items": {
                  "type": "string"
                }
              }
            }
          }
        },
        "io": {
          "inputJsonPath": "tasks/01KY9HZ2Q1BTPTVCACGHMEJZVY/input.json",
          "outputJsonPath": "tasks/01KY9HZ2Q1BTPTVCACGHMEJZVY/result.json"
        },
        "labels": [
          "agent",
          "cradle",
          "configuration"
        ]
      },
      "taskId": "configure-user",
      "stepId": "configure-user.default.27aa4cc5826b.0",
      "taskDefRef": "tasks/01KY9HZ2Q1BTPTVCACGHMEJZVY/task.json",
      "requestedAt": "2026-07-24T07:55:45.775Z",
      "schedulerHints": {
        "pendingCount": 1
      }
    }
  ],
  "metadata": {
    "runId": "01KY9HQSWT0E9XNC6XA8A3Q4R0",
    "processId": "cradle/user-install",
    "hookStatus": "no-hooks-configured"
  }
}


Next: configure-user. The task says prepare config but don't write the actual profile yet (save phase does). It should return plannedConfig. I can also actually create the config directory and a config.json if it doesn't exist, since the task says "Create the configuration directory structure if it does not exist" and "Prepare a config.json". But it also says "Do NOT write the actual profile yet".

Wait, "Do NOT write the actual profile yet (that happens in the Save phase)" - so user-profile.json should not be written. But config.json can be prepared/written. Actually "Prepare a config.json with the user settings" and "Return the planned configuration for review". So I can write a config.json now or prepare it in the output.

The next phase is a review breakpoint, then save. The save phase uses `babysitter profile:write` to write the profile.

Let me prepare the config. The default config dir is `~/.a5c/`. There's already `~/.a5c/package.json`. I should check if there's an existing config.json.

Actually, let me read `~/.a5c/package.json` to see if it's a config or just from the SDK install.

cat ~/.a5c/package.json; echo "---"; ls -la ~/.a5c/config.json 2>/dev/null || echo "no config.json"


{
  "type": "module"
}
---
no config.json


Good, no config.json yet. The package.json just sets type: module. I'll write a config.json with user settings. But the task says "Do NOT write the actual profile yet". Config is not the profile, so I can write it. But to be safe, I'll just prepare it in the output and not write to disk until the save phase. Actually, the configure task can create the config dir structure and write config.json. The save task will write the profile.

Let me create the config.json.


Successfully wrote 1038 bytes to /home/liph/.a5c/config.json


Successfully wrote 1286 bytes to /home/liph/.a5c/runs/01KY9HQSWT0E9XNC6XA8A3Q4R0/tasks/01KY9HZ2Q1BTPTVCACGHMEJZVY/output.json


npm exec --yes --package @a5c-ai/babysitter-sdk@6.0.2 -- babysitter task:post \
  /home/liph/.a5c/runs/01KY9HQSWT0E9XNC6XA8A3Q4R0 \
  01KY9HZ2Q1BTPTVCACGHMEJZVY \
  --status ok \
  --value /home/liph/.a5c/runs/01KY9HQSWT0E9XNC6XA8A3Q4R0/tasks/01KY9HZ2Q1BTPTVCACGHMEJZVY/output.json \
  --json 2>&1 && \
npm exec --yes --package @a5c-ai/babysitter-sdk@6.0.2 -- babysitter run:iterate /home/liph/.a5c/runs/01KY9HQSWT0E9XNC6XA8A3Q4R0 --json --iteration 7 2>&1


npm notice run npx
npm notice run 'babysitter' task:post /home/liph/.a5c/runs/01KY9HQSWT0E9XNC6XA8A3Q4R0 01KY9HZ2Q1BTPTVCACGHMEJZVY --status ok --value /home/liph/.a5c/runs/01KY9HQSWT0E9XNC6XA8A3Q4R0/tasks/01KY9HZ2Q1BTPTVCACGHMEJZVY/output.json --json
[adapterMetadata] @a5c-ai/adapters has no adapter named "genty" (requested harness: "genty"); using static fallback metadata.
{"status":"ok","normalizedShellFailure":false,"committed":{"resultRef":"tasks/01KY9HZ2Q1BTPTVCACGHMEJZVY/result.json","startedAt":"2026-07-24T07:56:07.173Z","finishedAt":"2026-07-24T07:56:07.173Z"},"stdoutRef":null,"stderrRef":null,"resultRef":"tasks/01KY9HZ2Q1BTPTVCACGHMEJZVY/result.json"}
npm notice run npx
npm notice run 'babysitter' run:iterate /home/liph/.a5c/runs/01KY9HQSWT0E9XNC6XA8A3Q4R0 --json --iteration 7
[adapterMetadata] @a5c-ai/adapters has no adapter named "genty" (requested harness: "genty"); using static fallback metadata.
(node:239040) [MODULE_TYPELESS_PACKAGE_JSON] Warning: Module type of file:///home/liph/.a5c/process-library/babysitter-repo/library/cradle/user-install.js is not specified and it doesn't parse as CommonJS.
Reparsing as ES module because module syntax was detected. This incurs a performance overhead.
To eliminate this warning, add "type": "module" to /home/liph/.a5c/process-library/babysitter-repo/package.json.
(Use `node --trace-warnings ...` to show where the warning was created)
{
  "iteration": 7,
  "iterationCount": 6,
  "status": "waiting",
  "action": "none",
  "reason": "breakpoint-waiting",
  "nextActions": [
    {
      "effectId": "01KY9HZTDQ7DER6TQ6M4VKH20V",
      "invocationKey": "cradle/user-install:__sdk.breakpoint.breakpoint.1:__sdk.breakpoint",
      "kind": "breakpoint",
      "label": "breakpoint",
      "labels": [
        "breakpoint"
      ],
      "taskDef": {
        "kind": "breakpoint",
        "title": "breakpoint",
        "metadata": {
          "payload": {
            "question": "Please review your complete user profile before we save it.\n\n**Name**: Anonymous\n**Specialties**: software-engineering\n**Goals**: Improve code quality through careful, supervised development; Learn and grow as a hobby programmer with detailed guidance\n**Breakpoint Tolerance**: low\n**Autonomy Level**: supervised\n\n**Recommended Tools**: babysit, help, plan, project-install\n**Recommended Processes**: cradle/bugfix, cradle/documentation-question, methodologies/tdd-quality-convergence, cradle/project-install\n\n**Config Path**: /home/liph/.a5c/config.json\n\nApprove to save this profile, or provide corrections.",
            "title": "Profile Review",
            "context": {
              "runId": "01KY9HQSWT0E9XNC6XA8A3Q4R0",
              "files": [
                {
                  "path": "artifacts/user-profile-preview.json",
                  "format": "json",
                  "label": "Full Profile JSON"
                },
                {
                  "path": "artifacts/tool-recommendations.json",
                  "format": "json",
                  "label": "Tool Recommendations"
                }
              ]
            }
          },
          "requestedAt": "2026-07-24T07:56:10.039Z",
          "label": "breakpoint",
          "breakpointId": "breakpoint"
        },
        "autoApproval": {
          "recommended": false,
          "reason": "No matching auto-approval rule",
          "consecutiveApprovals": 0
        }
      },
      "taskId": "__sdk.breakpoint",
      "stepId": "__sdk.breakpoint.breakpoint.1",
      "taskDefRef": "tasks/01KY9HZTDQ7DER6TQ6M4VKH20V/task.json",
      "requestedAt": "2026-07-24T07:56:10.053Z",
      "schedulerHints": {
        "pendingCount": 1
      }
    }
  ],
  "metadata": {
    "runId": "01KY9HQSWT0E9XNC6XA8A3Q4R0",
    "processId": "cradle/user-install",
    "hookStatus": "no-hooks-configured"
  }
}


Now we hit the profile review breakpoint. I need to ask the user to approve or provide corrections. This is interactive. Let me ask.

Choices:
Save the profile and config as shown
Abort the setup without saving the profile
Provide corrections or additional preferences

Question:
Please review your babysitter profile:

**Name**: Anonymous
**Specialties**: software-engineering (hobby-programming, general-development)
**Goals**: Improve code quality; Learn and grow
**Preferences**: verbose, supervised, conservative
**Tools**: Neovim, tmux, Linux, bash
**Breakpoint tolerance**: low
**Recommended processes**: cradle/bugfix, cradle/documentation-question, methodologies/tdd-quality-convergence, cradle/project-install
**Recommended skills**: babysit, help, plan, project-install
**Config path**: /home/liph/.a5c/config.json

Approve to save, request changes, or cancel?


User has answered your questions: "Please review your babysitter profile:

**Name**: Anonymous
**Specialties**: software-engineering (hobby-programming, general-development)
**Goals**: Improve code quality; Learn and grow
**Preferences**: verbose, supervised, conservative
**Tools**: Neovim, tmux, Linux, bash
**Breakpoint tolerance**: low
**Recommended processes**: cradle/bugfix, cradle/documentation-question, methodologies/tdd-quality-convergence, cradle/project-install
**Recommended skills**: babysit, help, plan, project-install
**Config path**: /home/liph/.a5c/config.json

Approve to save, request changes, or cancel?"="Approve and save". You can now continue with the user's answers in mind.

Question:
Please review your babysitter profile:

**Name**: Anonymous
**Specialties**: software-engineering (hobby-programming, general-development)
**Goals**: Improve code quality; Learn and grow
**Preferences**: verbose, supervised, conservative
**Tools**: Neovim, tmux, Linux, bash
**Breakpoint tolerance**: low
**Recommended processes**: cradle/bugfix, cradle/documentation-question, methodologies/tdd-quality-convergence, cradle/project-install
**Recommended skills**: babysit, help, plan, project-install
**Config path**: /home/liph/.a5c/config.json

Approve to save, request changes, or cancel?

Answer: Approve and save


User approved. Post breakpoint response and iterate.

write

Response: Approve and save


Successfully wrote 57 bytes to /home/liph/.a5c/runs/01KY9HQSWT0E9XNC6XA8A3Q4R0/tasks/01KY9HZTDQ7DER6TQ6M4VKH20V/output.json


bash

npm exec --yes --package @a5c-ai/babysitter-sdk@6.0.2 -- babysitter task:post \
  /home/liph/.a5c/runs/01KY9HQSWT0E9XNC6XA8A3Q4R0 \
  01KY9HZTDQ7DER6TQ6M4VKH20V \
  --status ok \
  --value /home/liph/.a5c/runs/01KY9HQSWT0E9XNC6XA8A3Q4R0/tasks/01KY9HZTDQ7DER6TQ6M4VKH20V/output.json \
  --json 2>&1 && \
npm exec --yes --package @a5c-ai/babysitter-sdk@6.0.2 -- babysitter run:iterate /home/liph/.a5c/runs/01KY9HQSWT0E9XNC6XA8A3Q4R0 --json --iteration 8 2>&1