quick-setup
Detect project type and generate .pi/ configuration. Use when setting up pi for a new project or when user asks to initialize pi config.
Best use case
quick-setup is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Detect project type and generate .pi/ configuration. Use when setting up pi for a new project or when user asks to initialize pi config.
Teams using quick-setup 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
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/quick-setup/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How quick-setup Compares
| Feature / Agent | quick-setup | 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?
Detect project type and generate .pi/ configuration. Use when setting up pi for a new project or when user asks to initialize pi config.
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
# Quick Setup Analyze the current project and generate appropriate `.pi/` configuration. ## Steps 1. **Detect project type** by examining files: - `package.json` → Node.js/TypeScript - `requirements.txt` / `pyproject.toml` → Python - `go.mod` → Go - `Cargo.toml` → Rust - `pom.xml` / `build.gradle` → Java - `Makefile` / `CMakeLists.txt` → C/C++ 2. **Detect frameworks** (React, Vue, Next.js, Django, FastAPI, Gin, etc.) 3. **Detect existing tooling** (ESLint, Prettier, pytest, etc.) 4. **Generate `.pi/` directory**: ``` .pi/ ├── settings.json # Project-specific settings └── AGENTS.md # Project context for the agent ``` 5. **Generate AGENTS.md** with: - Project stack description - Build/test/lint commands (from package.json scripts, Makefile, etc.) - Code conventions detected from config files - Directory structure overview 6. **Generate settings.json** with: - Appropriate thinking level for project complexity - Relevant skills enabled ## Output Show the generated files and ask user to confirm before writing.