Initial: pi-skill — 68 skills, 43 extensions, 11 themes for Pi
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commands/toolkit-meta/README.md
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# Toolkit Integration for Pi
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The [toolkit](https://github.com/ruizrica/toolkit) plugin provides 9 agents, 20 commands, and 2 skills for multi-agent orchestration, TDD workflows, and advanced productivity.
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## Quick Reference
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### Update
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```bash
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# From Pi:
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/toolkit-update
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# Or from shell:
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bash ~/.pi/agent/scripts/sync-toolkit.sh
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```
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### File Locations
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| Component | Path |
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|-----------|------|
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| Agents | `~/.pi/agent/.pi/agents/toolkit/` |
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| Commands | `~/.pi/agent/.pi/prompts/toolkit/` |
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| Skills | `~/.pi/agent/skills/just-bash/` |
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| Model config | `~/.pi/agent/.pi/agents/models.json` |
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| Team config | `~/.pi/agent/.pi/agents/teams.yaml` |
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| Sync script | `~/.pi/agent/scripts/sync-toolkit.sh` |
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| Toolkit repo | `~/.toolkit/` |
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---
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## Agents
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All agents are available via `dispatch_agent` / `subagent_create` and the `/agents-team toolkit` team.
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| Agent | Model | Specialty |
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|-------|-------|-----------|
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| `gemini-agent` | OpenRouter / Gemini 2.5 Flash | Large codebase analysis (1M tokens), Google Search |
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| `cursor-agent` | Anthropic / Sonnet | Code review, refactoring, session management |
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| `codex-agent` | Anthropic / Sonnet | Natural language to code, multi-language |
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| `qwen-agent` | OpenRouter / Qwen3 Coder+ | Agentic coding, workflow automation |
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| `opencode-agent` | OpenRouter / Gemini 2.5 Flash | 75+ AI models via OpenRouter |
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| `groq-agent` | OpenRouter / Llama 4 Maverick | Fast inference, lightweight tasks |
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| `crush-agent` | Anthropic / Haiku | Media compression/optimization |
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| `droid-agent` | Anthropic / Sonnet | Enterprise code generation |
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| `rlm-subcall` | Anthropic / Haiku | Chunk analysis helper for RLM workflow |
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---
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## Commands
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Commands are registered by the `toolkit-commands.ts` extension with a `toolkit-` prefix.
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### Fork-mode (spawn subprocesses)
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| Command | Description |
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|---------|-------------|
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| `/toolkit-team` | Coordinate multi-agent team for parallel implementation |
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| `/toolkit-haiku` | Spawn team of 10 Haiku agents managed by Opus |
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| `/toolkit-opus` | Spawn team of 10 Opus agents managed by Opus |
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| `/toolkit-sonnet` | Spawn team of 10 Sonnet agents managed by Opus |
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| `/toolkit-review` | CodeRabbit review + parallel fixes + verification |
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| `/toolkit-gherkin` | Extract business rules into Gherkin specs |
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| `/toolkit-kiro` | Spec-driven development (requirements → design → tasks → execution) |
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| `/toolkit-design` | Interactive design system generator (tokens, Tailwind, CSS) |
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| `/toolkit-@implement` | Process @implement comments into documentation |
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| `/toolkit-handbook` | Generate comprehensive project handbook |
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### Inline-mode (inject as user message)
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| Command | Description |
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|---------|-------------|
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| `/toolkit-save` | Commit, merge WIP to main, cleanup |
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| `/toolkit-stable` | Create stable checkpoint with tags |
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| `/toolkit-worktree` | Create isolated git worktree |
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| `/toolkit-setup` | Initialize project context and agent-memory indexing |
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| `/toolkit-rlm` | Recursive Language Model for large documents |
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| `/toolkit-just-bash` | Sandboxed bash execution (read-only, no network) |
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> **Note:** Compact, restore, and agent-memory are handled natively by Pi's `memory-cycle.ts` extension. The toolkit versions have been omitted.
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---
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## Skills
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| Skill | CLI Tool | Description |
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|-------|----------|-------------|
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| `just-bash` | `just-bash` (Node) | Sandboxed bash execution (read-only FS, no network) |
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> **Note:** agent-memory is omitted — Pi has its own memory system via `memory-cycle.ts`.
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---
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## Pi-native vs Toolkit
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| Feature | Pi Native | Toolkit |
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|---------|-----------|---------|
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| Compaction | `/cycle`, `/compact` (memory-cycle.ts) | *Omitted — use Pi native* |
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| Restore | Auto-injected after compact | *Omitted — use Pi native* |
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| Agent dispatch | `dispatch_agent` / `subagent_create` | `/toolkit-team` (orchestrated multi-agent) |
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---
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## How It Works
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1. **`toolkit-commands.ts`** scans `~/.pi/agent/.pi/commands/` (which symlinks to `~/.pi/agent/.pi/prompts/toolkit/`) for `.md` files with frontmatter
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2. Each `.md` is registered as a Pi slash command
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3. Fork-mode commands spawn `pi` subprocesses with the command body as system prompt
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4. Inline-mode commands inject the body as a user message with tool restrictions
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5. **`agent-defs.ts`** scans `~/.pi/agent/.pi/agents/toolkit/` for agent definitions
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6. Model assignments come from `~/.pi/agent/.pi/agents/models.json`
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7. Team rosters come from `~/.pi/agent/.pi/agents/teams.yaml`
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