type: message

role: user

type: text

text: can you tell me more about the babysitter-pi extension? what can i do with it? what would be a logic usecase


role: assistant

type: thinking

thinking: The user is asking about the babysitter-pi extension. Looking at the available skills, there are many babysitter-related skills. According to the instructions, I should read the skill files when the task matches. The main help skill is at /home/liph/.pi/agent/npm/node_modules/@a5c-ai/babysitter-pi/skills/help/SKILL.md. I should read that to learn more. Also maybe the README of the package or the main docs. Since the user asks "what can I do with it" and "logic usecase", I need to provide overview. I should read the help skill and maybe explore docs. Use read tool. Also maybe ctx_index? But first read the SKILL.md.

thinkingSignature: reasoning

read

type: toolCall

api: openai-completions

provider: ollama

stopReason: toolUse


role: toolResult

toolName: read

text:
---
name: help
description: help and documentation for babysitter command usage, processes, skills, agents, and methodologies. use this command to understand how to use babysitter effectively.
---

# help

## if no arguments provided:

show this message:

```
Welcome to the Babysitter Help Center! Here you can find documentation and guidance on how to use Babysitter effectively.

Documentation: Explore our comprehensive documentation to understand Babysitter's features, processes, skills, agents, and methodologies. Read the Docs: https://github.com/a5c-ai/babysitter

Or ask specific questions about commands, processes, skills, agents, methodologies, domains, specialities to get targeted help.

Just type /babysitter:help followed by your question or the topic you want to learn more about.

PRIMARY COMMANDS
================

/babysitter:call [input]
  Start a babysitter-orchestrated run. Babysitter analyzes your request, interviews you
  to gather requirements, selects or creates the best process definition (from 50+
  domain-specific processes covering science, business, engineering, and more), then
  executes it step by step with breakpoints where you can steer direction.

  How it works: The babysitter skill reads your input, explores the process library to
  find matching processes, interviews you to refine scope, creates an SDK run with
  run:create, and orchestrates iterations with run:iterate -- dispatching tasks,
  handling breakpoints, and posting results until the run completes or you pause it.

  Example: /babysitter:call migrate our Express.js REST API to Fastify, keeping all
  existing routes and middleware behavior identical, with integration tests proving
  parity

/babysitter:resume [run id or name]
  Resume a paused or interrupted babysitter run. If you don't specify a run, babysitter
  discovers all runs under .a5c/runs/, shows their status (created, waiting, completed,
  failed), and suggests which incomplete run to pick up based on its process, pending
  effects, and last activity.

  How it works: Reads run metadata and journal, rebuilds state cache if stale, identifies
  pending effects (breakpoints awaiting approval, tasks needing results), and continues
  orchestration from exactly where it left off -- no work is repeated thanks to the
  replay engine.

  Example: /babysitter:resume
  (discovers runs and offers: "Run abc123 is waiting on a breakpoint in the 'review
  test results' phase of your API migration -- resume this one?")

/babysitter:yolo [input]
  Start a babysitter run in fully autonomous mode. Identical to /call but all breakpoints
  are auto-approved and no user interaction is requested. The babysitter makes every
  decision on its own until the run completes or hits a critical failure it can't recover
  from. Best for well-understood tasks where you trust the process.

  How it works: Same orchestration as /call, but the process context is configured to
  skip breakpoint effects -- instead of pausing for human approval, each breakpoint
  resolves immediately with an auto-approve result.

  Example: /babysitter:yolo add comprehensive unit tests for all functions in
  src/utils/ using vitest with >90% branch coverage

/babysitter:plan [input]
  Generate a detailed execution plan without running anything. Babysitter goes through
  the full interview and process selection flow, designs the process definition with
  all tasks, breakpoints, and dependencies, but stops before creating the actual SDK run.
  You get a complete plan you can review, modify, or execute later with /call.

  How it works: Runs the babysitter skill's planning phase only -- analyzes input,
  matches to domain processes, interviews for requirements, then outputs the process
  definition file and a human-readable execution plan showing each phase, task, and
  decision point.

  Example: /babysitter:plan redesign our database schema to support multi-tenancy,
  migrate existing data, and update all queries -- I want to review the plan before
  we touch anything

/babysitter:forever [input]
  Start a babysitter run that loops indefinitely with sleep intervals. Designed for
  ongoing operational tasks: monitoring, periodic maintenance, continuous improvement,
  or recurring workflows. The process uses an infinite loop with ctx.sleepUntil() to
  pause between iterations.

  How it works: Creates a process definition with a while(true) loop. Each cycle performs
  the task (e.g., check metrics, process tickets, run audits), then calls ctx.sleepUntil()
  to pause for a configured interval. The run stays in "waiting" state during sleep and
  resumes automatically when the sleep expires on the next orchestration iteration.

  Example: /babysitter:forever every 4 hours, check our GitHub issues labeled "bug",
  attempt to reproduce and fix any that look straightforward, and submit PRs for the fixes

SECONDARY COMMANDS
==================

/babysitter:doctor [issue]
  Run a comprehensive 10-point health check on a babysitter run. Inspects journal
  integrity (checksum verification, sequence gaps, timestamp ordering), state cache
  consistency, stuck/errored effects, stale locks, session state, log files, disk usage,
  process validation, and hook execution health. Produces a structured diagnostic report
  with PASS/WARN/FAIL status per check and specific fix commands.

  If no run ID is provided, automatically targets the most recent run. Can also diagnose
  environment-wide issues like missing CLI, unregistered hooks, or plugin problems.

  Example: /babysitter:doctor
  (checks the latest run: "CRITICAL -- Check 5 Lock Status: FAIL -- stale lock detected,
  process 12847 is no longer running. Fix: rm .a5c/runs/abc123/run.lock")

/babysitter:assimilate [target]
  Convert an external methodology, AI coding harness, or specification into native
  babysitter process definitions. Takes a GitHub repo URL, harness name, or spec file
  and produces a complete process package with skills/ and agents/ directories.

  Two workflows available:
  - Methodology assimilation: clones the repo, learns its procedures and commands,
    converts manual flows into babysitter processes with refactored skills and agents
  - Harness integration: wires babysitter's SDK into a specific AI coding tool
    (codex, opencode, gemini-cli, antigravity, etc.) so it can orchestrate runs

  Example: /babysitter:assimilate https://github.com/some-org/their-deployment-playbook
  (clones the repo, analyzes their deployment procedures, and generates babysitter
  processes that replicate the same workflow with proper task definitions and breakpoints)

/babysitter:user-install
  First-time onboarding for new babysitter users. Installs dependencies, runs an
  interactive interview about your development specialties, preferred tools, coding
  style, and how much autonomy you want babysitter to have. Builds a user profile
  stored at ~/.a5c/user-profile.json that personalizes future runs.

  Uses the cradle/user-install process which covers: dependency verification, user
  interview (expertise areas, preferred languages, IDE, terminal setup), profile
  generation, tool configuration, and optional global plugin installation.

  Example: /babysitter:user-install
  (walks you through: "What's your primary programming language? What frameworks do
  you use most? Do you prefer babysitter to auto-approve routine tasks or always ask?")

/babysitter:project-install
  Onboard a new or existing project for babysitter orchestration. Researches the
  codebase (reads package.json, scans directory structure, identifies frameworks and
  patterns), interviews you about project goals and workflows, generates a project
  profile at .a5c/project-profile.json, and optionally sets up CI/CD integration.

  Uses the cradle/project-install process which covers: codebase analysis, project
  interview, profile creation, recommended plugin installation, hook configuration,
  and optional CI pipeline setup.

  Example: /babysitter:project-install
  (scans your repo: "I see this is a Next.js 16 app with Tailwind, using vitest for
  tests and PostgreSQL. What are your main development goals for this project?")

/babysitter:retrospect [run id or name]
  Analyze a completed run to extract lessons and improve future runs. Reviews what
  happened (journal events, task results, timing, errors), evaluates the process that
  was followed, and suggests concrete improvements to process definitions, skills,
  and agents. Interactive -- multiple breakpoints let you steer the analysis and
  decide which improvements to implement.

  Covers: run result analysis, process effectiveness review, improvement suggestions,
  implementation of changes, and routing to /contrib if improvements belong in the
  shared process library.

  Example: /babysitter:retrospect
  (analyzes the last run: "The API migration run completed but the 'verify parity'
  phase took 8 iterations because test assertions were too brittle. Suggestion: add
  a fuzzy comparison step before strict assertion. Implement this fix?")

/babysitter:blueprints [action]
  Manage Babysitter blueprints: list installed blueprints, browse marketplaces,
  install, update, configure, uninstall, or create new blueprints. Blueprints are
  version-managed instruction packages or process bundles that guide the agent
  through install, configure, and uninstall steps.

  Without arguments: shows installed blueprints (name, version, marketplace, dates) and
  available marketplaces. With arguments: routes to the specific action.

  Key actions:
  - install <name> --global|--project: fetch install.md from marketplace and execute
  - configure <name> --global|--project: fetch configure.md and walk through options
  - update <name> --global|--project: resolve migration chain via BFS and apply steps
  - uninstall <name> --global|--project: fetch uninstall.md and execute removal
  - create: scaffold a new blueprint package

  Example: /babysitter:blueprints install sound-hooks --project
  (fetches sound-hooks from marketplace, reads install.md, walks you through player
  detection, sound selection, hook configuration, and registers the blueprint)

/babysitter:contrib [feedback]
  Submit feedback or contribute to the babysitter project. Routes to the appropriate
  workflow based on what you want to do:

  Issue-based (opens GitHub issue in a5c-ai/babysitter):
  - Bug report: describe a bug in the SDK, CLI, or process library
  - Feature request: propose a new feature or enhancement
  - Documentation question: flag undocumented behavior or missing docs

  PR-based (forks repo, creates branch, submits PR):
  - Bugfix: you already have a fix ready
  - Feature implementation: you've built a new feature
  - Library contribution: new or improved process/skill/agent for the library
  - Harness integration: CI/CD or IDE integration

  Without arguments: shows all contribution types and helps you pick the right one.
  Breakpoints are placed before all GitHub actions (fork, star, PR, issue) so you
  can review before anything is submitted.

  Example: /babysitter:contrib bug report: plugin:update-registry fails when the
  marketplace hasn't been cloned yet, even though the registry update doesn't need
  marketplace access

/babysitter:observe
  Launch the babysitter observer dashboard -- a real-time web UI that monitors active
  and past runs. Displays task progress, journal events, orchestration state, and
  effect status in your browser. Useful when running /yolo or /forever to watch
  progress without interrupting the run.

  How it works: Runs npx @a5c-ai/babysitter-observer-dashboard@latest which watches
  the .a5c/runs/ directory (or a parent directory containing multiple projects) and
  serves a live dashboard. The process is blocking -- it runs until you stop it, and
  it prints the local URL to share with the user. Do not use `babysitter observe`
  as a fallback; the core Babysitter CLI does not expose that subcommand.

  Example: /babysitter:observe
  (opens browser showing all runs with live-updating task
  status, journal event stream, and effect resolution timeline)
```

## if arguments provided:

if the argument is "command [command name]", "process [process name]", "skill [skill name]", "agent [agent name]", or "methodology [methodology name]", then show the detailed documentation for that specific command, process, skill, agent, or methodology after reading the relevant files.


thinking: Now we have the main help text. We can answer user's questions: "can you tell me more about the babysitter-pi extension? what can i do with it? what would be a logic usecase". We should explain it's an orchestration extension that lets pi run complex workflows via structured processes, with commands like /babysitter:call, /yolo, /plan, /resume, /forever, etc. Also mention usecases. We should be concise but informative. Maybe we can also read the project README or package docs to be accurate. But the help skill gives enough. Let's read maybe package README? The README.md in the package directory might include overview. Use fffind? Use read path if exist.


text:
# @a5c-ai/babysitter-pi

Babysitter package for the upstream `pi` coding agent.

This is a thin Pi package:

- `skills/` exposes Babysitter workflows through Pi's skill system
- `extensions/index.ts` adds lightweight slash-command aliases that forward to those skills
- the SDK remains responsible for orchestration, runs, tasks, and state

## Installation

Install the Babysitter CLI once when using the SDK helper:

```bash
npm install -g @a5c-ai/babysitter
```

Recommended for automation:

```bash
# Global install
babysitter harness:install-plugin pi

# Workspace install
babysitter harness:install-plugin pi --workspace /path/to/repo
```

Native Pi package install:

```bash
pi install npm:@a5c-ai/babysitter-pi
```

Verify the package is available:

```bash
babysitter harness:discover --json
```

Project-local:

```bash
cd /path/to/repo
pi install -l npm:@a5c-ai/babysitter-pi
```

Published package installer:

```bash
npx --yes @a5c-ai/babysitter-pi install --global
npx --yes @a5c-ai/babysitter-pi install --workspace /path/to/repo
```

Removal:

```bash
pi remove npm:@a5c-ai/babysitter-pi
```

## Using Babysitter

Start Pi, then use the thin Babysitter entrypoints exposed by the package:

- `/babysit` or `/babysitter`
- `/call`
- `/plan`
- `/babysitter:resume`
- `/doctor`
- `/yolo`

Each command forwards into Pi's native `/skill:<name>` flow. The orchestration
contract lives in the skills; the extension only provides convenient aliases.

## Commands And Skills

The package mirrors the canonical Babysitter command docs and exposes the core
`babysit` skill plus command-backed skills such as `call`, `doctor`, `plan`,
`resume`, and `yolo`.

The extension layer is intentionally thin. It only forwards slash commands to
Pi's built-in `/skill:<name>` flow; it does not implement a custom loop driver,
custom tools, or direct run mutation logic.

## Plugin Layout

```text
artifacts/generated-plugins/pi/
|-- package.json
|-- versions.json
|-- extensions/
|   `-- index.ts
|-- commands/
|-- skills/
|-- bin/
`-- scripts/
```

## Marketplace And Distribution

Pi discovers this package through its native package installation flow. Publish
new versions to npm under `@a5c-ai/babysitter-pi`, then users can install or
upgrade through `pi install npm:@a5c-ai/babysitter-pi`.

## Upgrade And Uninstall

Upgrade by reinstalling the package:

```bash
pi install npm:@a5c-ai/babysitter-pi
```

Remove it with:

```bash
pi remove npm:@a5c-ai/babysitter-pi
```

## Troubleshooting

- Verify the harness with `babysitter harness:discover --json`.
- If `pi` is not available, check `where pi` on Windows or `which pi` on Unix.
- If commands do not appear, restart Pi after installation so it reloads package metadata.
- If the wrong SDK version is used, inspect `versions.json` inside the installed package root.
- Regenerate mirrored commands and command-backed skills with `npm run sync:commands`.

## Tests

```bash
cd artifacts/generated-plugins/pi
npm test
```

## License

MIT


thinking: Now we have enough. Let's craft an answer. The user asks "can you tell me more about the babysitter-pi extension? what can i do with it? what would be a logic usecase". We can say it's a Pi package that adds Babysitter orchestration to pi coding agent, exposing slash commands. It turns a one-off chat into structured multi-step workflows with tasks, breakpoints, resume, autonomous mode. Mention commands and use cases. Need not ask follow-up questions; answer directly. Should mention that it's installed globally or project-local, and commands. Provide logical use case examples: complex migrations, adding tests, refactoring, ongoing monitoring, etc. Also mention the /babysitter:observe dashboard. Keep concise. No need to reference files unless helpful.

text:
`babysitter-pi` is a Pi package that layers the **Babysitter** workflow engine on top of Pi. In plain terms: it turns a single chat request into a structured, multi-step “run” that can plan, execute, pause for your input, resume, and even run autonomously.

## What it adds to Pi

The package exposes Babysitter as Pi slash commands, e.g.:

- `/babysitter` or `/babysit` – general orchestration entrypoint
- `/babysitter:call <task>` – start a structured run; Babysitter interviews you, picks/creates a process, then executes it step by step with breakpoints where you can steer
- `/babysitter:yolo <task>` – same as `/call`, but auto-approves every breakpoint and runs fully unattended
- `/babysitter:plan <task>` – creates the full execution plan and process definition without actually running it
- `/babysitter:resume` – pick up a paused/interrupted run exactly where it left off
- `/babysitter:forever <task>` – long-running/looping run (e.g., monitor, audit, or maintain something on a schedule)
- `/babysitter:doctor` – diagnose run health, locks, journal integrity, etc.
- `/babysitter:observe` – open a live web dashboard of active and past runs

## What you can do with it

Instead of asking Pi for one code change at a time, you can hand Babysitter a higher-level goal and let it break it into phases, track state, handle failures, and ask you for decisions at the right moments.

Good fits:

- **Complex refactoring** – “migrate our Express REST API to Fastify and prove parity with integration tests”
- **Test coverage campaigns** – “add Vitest unit tests for everything in `src/utils/` with >90% branch coverage”
- **Schema/data migrations** – “redesign our database schema for multi-tenancy, migrate data, and update all queries”
- **Repeatable maintenance** – “every 4 hours, scan GitHub bugs labeled `good-first-issue`, reproduce, and open PRs for the easy ones”
- **Review/plan before touching code** – use `/plan` to produce a detailed plan you approve before `/call` executes it
- **Autonomous overnight work** – use `/yolo` for well-understood tasks you trust to run unattended

## A logical use case

Suppose you have a mid-size Node.js service and want to switch from Express to Fastify without breaking behavior.

With regular Pi, you’d likely do this interactively, file by file.
With Babysitter:

```text
/babysitter:call migrate our Express.js REST API to Fastify,
keeping all existing routes and middleware behavior identical,
with integration tests proving parity
```

Babysitter would:

1. Interview you about scope, dependencies, and test setup
2. Select or build a migration process definition
3. Execute phases like: inventory routes → rewrite adapters → migrate middleware → run tests → fix regressions → verify parity
4. Pause at breakpoints (“I’m about to refactor `authMiddleware.js` — approve?”)
5. Save state, so `/babysitter:resume` continues if you stop or the session ends

That makes it useful for any task that’s too big or too risky to complete in one chat turn, but where you still want a human in the loop.

stopReason: stop


customType: subagent-slash-result

content: what does the babysitter-pi extension do?

mode: single

agent: ollama-explain

status: running


content:
## Subagent result

The `@a5c-ai/babysitter-pi` extension is an orchestration plugin for the Pi coding agent. It wraps the external **Babysitter SDK** and exposes its multi-step workflow engine through Pi's native skill system and slash commands.

**What it does**
- Turns one-off chat requests into structured, process-driven runs with event-sourced state management (`run:create`, `run:iterate`, `journal/` logs, `state/` caches).
- Supports human-in-the-loop approval via breakpoint effects, plus fully autonomous mode.
- Provides a library of 50+ domain-specific processes (science, business, engineering, etc.).

**Key components**
- `extensions/index.ts` (`dotfiles/pi/.pi_1/agent/npm/node_modules/@a5c-ai/babysitter-pi/extensions/index.ts`): registers slash commands (`/babysit`, `/call`, `/plan`, `/yolo`, `/doctor`, `/resume`, etc.) and forwards them to Pi's `/skill:<name>` flow. It also hooks into `session_start` and `agent_end` events to proxy lifecycle calls to the Babysitter SDK.
- `skills/` (`dotfiles/pi/.pi_1/agent/npm/node_modules/@a5c-ai/babysitter-pi/skills/`): contains skill definitions (`babysit`, `call`, `help`, `doctor`, `plan`, `yolo`, `resume`, etc.) that describe how Pi should execute orchestration tasks.
- `AGENTS.md` (`dotfiles/pi/.pi_1/agent/npm/node_modules/@a5c-ai/babysitter-pi/AGENTS.md`): the behavioral contract for agents — defines the iteration loop, effect types (`agent`, `skill`, `shell`, `breakpoint`, `sleep`), result posting rules, and run directory layout under `.a5c/runs/<RUN_ID>/`.

**Data flow**
1. User types `/babysitter:call migrate our API...`
2. Extension forwards to `/skill:babysit`
3. Skill invokes the Babysitter SDK CLI (`babysitter run:create`, `run:iterate`)
4. SDK replays resolved effects, returns pending effects
5. Pi executes each pending effect (e.g., runs a shell command, invokes a sub-agent, or prompts the user at a breakpoint)
6. Results are posted back to the SDK via the plugin bridge
7. The `agent_end` hook auto-continues the loop until the run completes or pauses

**Edge cases / residuals**
- The extension is intentionally thin; all orchestration logic lives in the external `@a5c-ai/babysitter-sdk`. If the SDK is missing, stale, or version-mismatched, the commands fail.
- During an active run, the plugin intercepts built-in Pi task/todo tools and reroutes them through Babysitter's effect system, which can interfere with normal Pi task tracking.
- The stop hook is best-effort — failures are silently swallowed, which could mask stuck runs or stale locks.

## Child session exports

- `/home/liph/.pi/agent/sessions/--home-liph--/2026-07-24T05-51-34-958Z_019f92ad-da2e-74fe-95b0-267fea0989b9/9b507236/run-0/session.jsonl`

## Artifact outputs

- `/home/liph/.pi-subagents/artifacts/9b507236_ollama-explain_0_output.md`

task: what does the babysitter-pi extension do?

outputMode: inline

status: attested

level: attested

must: Return a concise result and residual risks when applicable

evidence: manual-notes residual-risks

severity: required

status: satisfied

evidence: Researched README.md, package.json, AGENTS.md, extensions/index.ts, and skills/babysit|call|help/SKILL.md to determine the extension's purpose, commands, data flow, and risks.

validationOutput: Manual inspection of installed package at dotfiles/pi/.pi_1/agent/npm/node_modules/@a5c-ai/babysitter-pi/

residualRisks: Dependency on external @a5c-ai/babysitter-sdk CLI; version mismatch could break orchestration

residualRisks: Active runs intercept Pi's native task/todo tools, potentially interfering with normal task tracking

residualRisks: Best-effort stop-hook silently swallows failures, which may mask stuck runs or stale locks

residualRisks: No custom loop driver or direct run mutation in the extension itself — all heavy logic is delegated to the SDK

diffSummary: No files modified; this was a read-only research task

manualNotes: The babysitter-pi extension is essentially a thin adapter layer. Its real complexity lives in the external Babysitter SDK and the process definitions it loads. Users must have the SDK installed globally for commands to work.

text: find {"pattern":"**/*babysitter*"}

expandedText: find {"pattern":"**/*babysitter*"}

text: find {"pattern":"**/*babysitter*"}

text: ls {"path":"."}

text: grep {"pattern":"babysitter","path":"."}

text: ls {"path":"code"}

expandedText: ls {"path":"code"}

text: grep {"pattern":"babysitter-pi","path":"."}

text: grep {"pattern":"babysitter","path":"dotfiles...

text: grep {"pattern":"babysitter","path":".config"...

text: grep {"pattern":"babysitter","path":".local"}

text: find {"pattern":"**/@a5c-ai/babysitter-pi/**"...

text: ls {"path":"dotfiles/pi/.pi_1/agent/npm/nod...

text: read dotfiles/pi/.pi_1/agent/npm/node_modules/@a5c-ai/babysitter-pi/README.md

text: read dotfiles/pi/.pi_1/agent/npm/node_modules/@a5c-ai/babysitter-pi/package.json

text: read dotfiles/pi/.pi_1/agent/npm/node_modules/@a5c-ai/babysitter-pi/AGENTS.md

text: read dotfiles/pi/.pi_1/agent/npm/node_modules/@a5c-ai/babysitter-pi/extensions/index.ts

text: read dotfiles/pi/.pi_1/agent/npm/node_modules/@a5c-ai/babysitter-pi/skills/babysit/SKILL.md

text: read dotfiles/pi/.pi_1/agent/npm/node_modules/@a5c-ai/babysitter-pi/skills/call/SKILL.md

text: read dotfiles/pi/.pi_1/agent/npm/node_modules/@a5c-ai/babysitter-pi/skills/help/SKILL.md