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# pi Skills
This directory contains custom skills for [pi](https://github.com/earendil-works/pi), a coding agent harness. Each skill adds specialized capabilities that extend what pi can do.
## Installed Skills
| Skill | Description |
|-------|-------------|
| [phased-execution](./phased-execution/) | Runs phased build pipelines in isolated subprocesses |
| [find-skills](./find-skills/) | Discovers and installs new skills |
| [gog](./gog/) | Google Workspace CLI (Gmail, Calendar, Drive, Contacts, Sheets, Docs) |
## How Skills Work
A skill is a directory containing at minimum a `SKILL.md` file. When pi loads, it reads all `SKILL.md` files in this directory and makes their instructions available to the agent. The `description` field in each skill's front matter tells pi when to activate that skill.
Skills can include:
- **Scripts** — shell scripts, Node modules, or any executable code
- **Assets** — templates, prompts, validation gates, etc.
- **Additional docs** — referenced via relative paths from `SKILL.md`
## Adding a New Skill
1. Create a directory under `~/.pi/agent/skills/<name>/`
2. Add a `SKILL.md` with front matter and instructions
3. Optionally add scripts, assets, or subdirectories
4. Restart pi (or the skill will be picked up on next load)
### SKILL.md Format
```markdown
---
name: my-skill
description: What this skill does — when pi should activate it
---
# My Skill
Instructions for the agent go here.
```
## Cloning Skills from Other Sources
To install a skill from a git repo or another location, you can clone it directly into this directory:
```bash
git clone https://github.com/user/my-skill ~/.pi/agent/skills/my-skill
```
Or symlink for development:
```bash
ln -s /path/to/my-skill ~/.pi/agent/skills/my-skill
```
---
## phased-execution
Runs phased build pipelines in isolated subprocesses. Ported from [opencode](https://github.com/opencode-ai/opencode)'s `next-phase` / `auto-phase` commands.
### Overview
This skill orchestrates a project's development as a sequence of phases, each executed by the LLM in its own fresh pi process. Phases are managed via files — not chat context — so even very long-running pipelines don't bloat your session history.
Each phase:
1. Reads the master plan (`.agent/PLAN.md`) and any already-completed phases
2. Implements all tasks from its phase file
3. Runs tests, linting, and coverage checks via `.agent/validate.sh`
4. Retries up to `MAX_FIX_ATTEMPTS` times on failure (resuming the same session)
5. Moves to `complete/` only when everything passes
### Directory Structure
```
<project>/
├── .agent/
│ ├── PLAN.md # Master plan; LOCKED DECISIONS are binding
│ ├── validate.sh # Quality gate (created from skill template on first run)
│ ├── phases/
│ │ ├── todo/ # Pending phases: 01_name.md, 02_name.md, …
│ │ └── complete/ # Finished phases
│ ├── reports/ # Per-phase executor reports, stderr, validation logs
│ └── phase-sessions/ # Resumable child pi sessions
```
### Usage
From within a project that has `.agent/phases/todo/`:
**Run the next pending phase:**
```bash
cd /path/to/project
bash ~/.pi/agent/skills/phased-execution/scripts/run-phase.sh
```
**Run a specific phase:**
```bash
bash ~/.pi/agent/skills/phased-execution/scripts/run-phase.sh 03_api.md
```
**Run the entire pipeline** (all pending phases, in order, stopping at first failure):
```bash
bash ~/.pi/agent/skills/phased-execution/scripts/auto-phase.sh
```
Re-running `auto-phase.sh` after a failure continues where it stopped.
### Configuration
Environment variables passed to the scripts control behavior:
| Variable | Default | Meaning |
|----------|---------|---------|
| `MAX_FIX_ATTEMPTS` | `3` | Fixer retries per phase |
| `PHASE_MODEL` | session default | Model for child executors (e.g. `anthropic/claude-sonnet-4-5`) |
| `PHASE_THINKING` | session default | Thinking level for child executors |
| `PHASE_COMMIT` | `0` | `1` = auto-git-commit after each passing phase |
| `PI_TRUST` | `0` | `1` = pass `--approve` to children (load project `.pi/` settings) |
| `FRESH_FIX` | `0` | `1` = fixer retries start fresh instead of resuming the failed session |
| `QUIET` | `0` | `1` = suppress live progress display (reports still written) |
Example:
```bash
PHASE_MODEL=anthropic/claude-sonnet-4-5 PHASE_COMMIT=1 bash ~/.pi/agent/skills/phased-execution/scripts/auto-phase.sh
```
### How It Works
1. `run-phase.sh` / `auto-phase.sh` finds the project root (walks up from `PWD` for `.agent/phases/todo/`)
2. For each phase, it spawns a **separate pi subprocess** with `--mode json` to capture structured output
3. `progress.mjs` streams live progress (tool calls, assistant text) to the terminal and writes the final report to `.agent/reports/`
4. After the child exits, `.agent/validate.sh` is run as the quality gate
5. On success: phase moves to `complete/`, report is printed
6. On failure: up to `MAX_FIX_ATTEMPTS` fixer retries (resuming the same session), then the phase stays in `todo/`
### After a Run
- **Success**: The executor report is printed at the end of the script output. Phases in `.agent/phases/complete/` are already done.
- **Failure**: Point to `.agent/reports/<phase>.a*.{md,err,validate}` for logs. Resume with:
```bash
pi --session-dir .agent/phase-sessions -c
```
Or re-run the script to retry automatically.
### Creating Phases
Phase files are typically created by prompt templates like `/to-phase`, `/audit-create`, `/new-project`, and `/new-python-*`. Each phase file in `todo/` should list concrete tasks the executor must complete, including testing & quality criteria.