babysitter:project-install

Set up a project for babysitting. Research the codebase, build project profile, install tools.

509 stars

Best use case

babysitter:project-install is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Set up a project for babysitting. Research the codebase, build project profile, install tools.

Teams using babysitter:project-install should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

You only need a quick one-off answer and do not need a reusable workflow.
You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/project-install/SKILL.md --create-dirs "https://raw.githubusercontent.com/a5c-ai/babysitter/main/plugins/babysitter-codex/.codex/skills/babysitter/project-install/SKILL.md"

Manual Installation

Download SKILL.md from GitHub
Place it in .claude/skills/project-install/SKILL.md inside your project
Restart your AI agent — it will auto-discover the skill

How babysitter:project-install Compares

Feature / Agent	babysitter:project-install	Standard Approach
Platform Support	Not specified	Limited / Varies
Context Awareness	High	Baseline
Installation Complexity	Unknown	N/A

Frequently Asked Questions

What does this skill do?

Set up a project for babysitting. Research the codebase, build project profile, install tools.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# babysitter:project-install

Guide through onboarding a new or existing project for babysitter orchestration.

## Workflow

### 1. Research the Codebase
- Analyze project structure, language, framework, build tools
- Check for existing `.a5c/` directory
- Detect CI/CD configuration (GitHub Actions, Jenkins, etc.)
- Identify key entry points and test suites

### 2. Interview
- What are the project's goals?
- What workflows should be orchestrated?
- What quality gates matter most?
- Any specific tools or frameworks to prefer?

### 3. Build Project Profile

Write the project profile using the CLI:
```bash
echo '<profile-json>' > /tmp/project-profile.json
babysitter profile:write --project --input /tmp/project-profile.json --json
```

The profile includes:
- Project name, description, language, framework
- Build and test commands
- Quality gates configuration
- Preferred skills and agents
- CI/CD integration settings

### 4. Install Tools
- Ensure `@a5c-ai/babysitter-sdk` is in package.json
- Create `.a5c/` directory structure
- Set up `.codex/config.toml` MCP server config
- Create AGENTS.md if not present

### 5. Optional: Configure CI/CD
- Add babysitter orchestration to CI pipeline
- Set up automated quality gates
- Configure deployment hooks

### Done!

Project is ready for babysitting. Try `/babysitter:call` to start your first orchestrated workflow.

Star the repo: https://github.com/a5c-ai/babysitter

Related Skills

babysitter

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from a5c-ai/babysitter

Orchestrate via @babysitter. Use this skill when asked to babysit a run, orchestrate a process or whenever it is called explicitly. (babysit, babysitter, orchestrate, orchestrate a run, workflow, etc.)