gstack/CONTRIBUTING.md

# Contributing to gstack

Thanks for wanting to make gstack better. Whether you're fixing a typo in a skill prompt or building an entirely new workflow, this guide will get you up and running fast.

## Quick start

gstack skills are Markdown files that Claude Code discovers from a `skills/` directory. Normally they live at `~/.claude/skills/gstack/` (your global install). But when you're developing gstack itself, you want Claude Code to use the skills *in your working tree* — so edits take effect instantly without copying or deploying anything.

That's what dev mode does. It symlinks your repo into the local `.claude/skills/` directory so Claude Code reads skills straight from your checkout.

```bash
git clone <repo> && cd gstack
bun install                    # install dependencies
bin/dev-setup                  # activate dev mode
```

Now edit any `SKILL.md`, invoke it in Claude Code (e.g. `/review`), and see your changes live. When you're done developing:

```bash
bin/dev-teardown               # deactivate — back to your global install
```

## Contributor mode

Contributor mode turns gstack into a self-improving tool. Enable it and Claude Code
will periodically reflect on its gstack experience — rating it 0-10 at the end of
each major workflow step. When something isn't a 10, it thinks about why and files
a report to `~/.gstack/contributor-logs/` with what happened, repro steps, and what
would make it better.

```bash
~/.claude/skills/gstack/bin/gstack-config set gstack_contributor true
```

The logs are for **you**. When something bugs you enough to fix, the report is
already written. Fork gstack, symlink your fork into the project where you hit
the issue, fix it, and open a PR.

### The contributor workflow

1. **Use gstack normally** — contributor mode reflects and logs issues automatically
2. **Check your logs:** `ls ~/.gstack/contributor-logs/`
3. **Fork and clone gstack** (if you haven't already)
4. **Symlink your fork into the project where you hit the bug:**
   ```bash
   # In your core project (the one where gstack annoyed you)
   ln -sfn /path/to/your/gstack-fork .claude/skills/gstack
   cd .claude/skills/gstack && bun install && bun run build
   ```
5. **Fix the issue** — your changes are live immediately in this project
6. **Test by actually using gstack** — do the thing that annoyed you, verify it's fixed
7. **Open a PR from your fork**

This is the best way to contribute: fix gstack while doing your real work, in the
project where you actually felt the pain.

### Session awareness

When you have 3+ gstack sessions open simultaneously, every question tells you which project, which branch, and what's happening. No more staring at a question thinking "wait, which window is this?" The format is consistent across all skills.

## Working on gstack inside the gstack repo

When you're editing gstack skills and want to test them by actually using gstack
in the same repo, `bin/dev-setup` wires this up. It creates `.claude/skills/`
symlinks (gitignored) pointing back to your working tree, so Claude Code uses
your local edits instead of the global install.

```
gstack/                          <- your working tree
├── .claude/skills/              <- created by dev-setup (gitignored)
│   ├── gstack -> ../../         <- symlink back to repo root
│   ├── review -> gstack/review
│   ├── ship -> gstack/ship
│   └── ...                      <- one symlink per skill
├── review/
│   └── SKILL.md                 <- edit this, test with /review
├── ship/
│   └── SKILL.md
├── browse/
│   ├── src/                     <- TypeScript source
│   └── dist/                    <- compiled binary (gitignored)
└── ...
```

## Day-to-day workflow

```bash
# 1. Enter dev mode
bin/dev-setup

# 2. Edit a skill
vim review/SKILL.md

# 3. Test it in Claude Code — changes are live
#    > /review

# 4. Editing browse source? Rebuild the binary
bun run build

# 5. Done for the day? Tear down
bin/dev-teardown
```

## Testing & evals

### Setup

```bash
# 1. Copy .env.example and add your API key
cp .env.example .env
# Edit .env → set ANTHROPIC_API_KEY=sk-ant-...

# 2. Install deps (if you haven't already)
bun install
```

Bun auto-loads `.env` — no extra config. Conductor workspaces inherit `.env` from the main worktree automatically (see "Conductor workspaces" below).

### Test tiers

| Tier | Command | Cost | What it tests |
|------|---------|------|---------------|
| 1 — Static | `bun test` | Free | Command validation, snapshot flags, SKILL.md correctness, TODOS-format.md refs, observability unit tests |
| 2 — E2E | `bun run test:e2e` | ~$3.85 | Full skill execution via `claude -p` subprocess |
| 3 — LLM eval | `bun run test:evals` | ~$0.15 standalone | LLM-as-judge scoring of generated SKILL.md docs |
| 2+3 | `bun run test:evals` | ~$4 combined | E2E + LLM-as-judge (runs both) |

```bash
bun test                     # Tier 1 only (runs on every commit, <5s)
bun run test:e2e             # Tier 2: E2E only (needs EVALS=1, can't run inside Claude Code)
bun run test:evals           # Tier 2 + 3 combined (~$4/run)
```

### Tier 1: Static validation (free)

Runs automatically with `bun test`. No API keys needed.

- **Skill parser tests** (`test/skill-parser.test.ts`) — Extracts every `$B` command from SKILL.md bash code blocks and validates against the command registry in `browse/src/commands.ts`. Catches typos, removed commands, and invalid snapshot flags.
- **Skill validation tests** (`test/skill-validation.test.ts`) — Validates that SKILL.md files reference only real commands and flags, and that command descriptions meet quality thresholds.
- **Generator tests** (`test/gen-skill-docs.test.ts`) — Tests the template system: verifies placeholders resolve correctly, output includes value hints for flags (e.g. `-d <N>` not just `-d`), enriched descriptions for key commands (e.g. `is` lists valid states, `press` lists key examples).

### Tier 2: E2E via `claude -p` (~$3.85/run)

Spawns `claude -p` as a subprocess with `--output-format stream-json --verbose`, streams NDJSON for real-time progress, and scans for browse errors. This is the closest thing to "does this skill actually work end-to-end?"

```bash
# Must run from a plain terminal — can't nest inside Claude Code or Conductor
EVALS=1 bun test test/skill-e2e-*.test.ts
```

- Gated by `EVALS=1` env var (prevents accidental expensive runs)
- Auto-skips if running inside Claude Code (`claude -p` can't nest)
- API connectivity pre-check — fails fast on ConnectionRefused before burning budget
- Real-time progress to stderr: `[Ns] turn T tool #C: Name(...)`
- Saves full NDJSON transcripts and failure JSON for debugging
- Tests live in `test/skill-e2e-*.test.ts` (split by category), runner logic in `test/helpers/session-runner.ts`

### E2E observability

When E2E tests run, they produce machine-readable artifacts in `~/.gstack-dev/`:

| Artifact | Path | Purpose |
|----------|------|---------|
| Heartbeat | `e2e-live.json` | Current test status (updated per tool call) |
| Partial results | `evals/_partial-e2e.json` | Completed tests (survives kills) |
| Progress log | `e2e-runs/{runId}/progress.log` | Append-only text log |
| NDJSON transcripts | `e2e-runs/{runId}/{test}.ndjson` | Raw `claude -p` output per test |
| Failure JSON | `e2e-runs/{runId}/{test}-failure.json` | Diagnostic data on failure |

**Live dashboard:** Run `bun run eval:watch` in a second terminal to see a live dashboard showing completed tests, the currently running test, and cost. Use `--tail` to also show the last 10 lines of progress.log.

**Eval history tools:**

```bash
bun run eval:list            # list all eval runs (turns, duration, cost per run)
bun run eval:compare         # compare two runs — shows per-test deltas + Takeaway commentary
bun run eval:summary         # aggregate stats + per-test efficiency averages across runs
```

**Eval comparison commentary:** `eval:compare` generates natural-language Takeaway sections interpreting what changed between runs — flagging regressions, noting improvements, calling out efficiency gains (fewer turns, faster, cheaper), and producing an overall summary. This is driven by `generateCommentary()` in `eval-store.ts`.

Artifacts are never cleaned up — they accumulate in `~/.gstack-dev/` for post-mortem debugging and trend analysis.

### Tier 3: LLM-as-judge (~$0.15/run)

Uses Claude Sonnet to score generated SKILL.md docs on three dimensions:

- **Clarity** — Can an AI agent understand the instructions without ambiguity?
- **Completeness** — Are all commands, flags, and usage patterns documented?
- **Actionability** — Can the agent execute tasks using only the information in the doc?

Each dimension is scored 1-5. Threshold: every dimension must score **≥ 4**. There's also a regression test that compares generated docs against the hand-maintained baseline from `origin/main` — generated must score equal or higher.

```bash
# Needs ANTHROPIC_API_KEY in .env — included in bun run test:evals
```

- Uses `claude-sonnet-4-6` for scoring stability
- Tests live in `test/skill-llm-eval.test.ts`
- Calls the Anthropic API directly (not `claude -p`), so it works from anywhere including inside Claude Code

### CI

A GitHub Action (`.github/workflows/skill-docs.yml`) runs `bun run gen:skill-docs --dry-run` on every push and PR. If the generated SKILL.md files differ from what's committed, CI fails. This catches stale docs before they merge.

Tests run against the browse binary directly — they don't require dev mode.

## Editing SKILL.md files

SKILL.md files are **generated** from `.tmpl` templates. Don't edit the `.md` directly — your changes will be overwritten on the next build.

```bash
# 1. Edit the template
vim SKILL.md.tmpl              # or browse/SKILL.md.tmpl

# 2. Regenerate for both hosts
bun run gen:skill-docs
bun run gen:skill-docs --host codex

# 3. Check health (reports both Claude and Codex)
bun run skill:check

# Or use watch mode — auto-regenerates on save
bun run dev:skill
```

For template authoring best practices (natural language over bash-isms, dynamic branch detection, `{{BASE_BRANCH_DETECT}}` usage), see CLAUDE.md's "Writing SKILL templates" section.

To add a browse command, add it to `browse/src/commands.ts`. To add a snapshot flag, add it to `SNAPSHOT_FLAGS` in `browse/src/snapshot.ts`. Then rebuild.

## Dual-host development (Claude + Codex)

gstack generates SKILL.md files for two hosts: **Claude** (`.claude/skills/`) and **Codex** (`.agents/skills/`). Every template change needs to be generated for both.

### Generating for both hosts

```bash
# Generate Claude output (default)
bun run gen:skill-docs

# Generate Codex output
bun run gen:skill-docs --host codex
# --host agents is an alias for --host codex

# Or use build, which does both + compiles binaries
bun run build
```

### What changes between hosts

| Aspect | Claude | Codex |
|--------|--------|-------|
| Output directory | `{skill}/SKILL.md` | `.agents/skills/gstack-{skill}/SKILL.md` (generated at setup, gitignored) |
| Frontmatter | Full (name, description, allowed-tools, hooks, version) | Minimal (name + description only) |
| Paths | `~/.claude/skills/gstack` | `$GSTACK_ROOT` (`.agents/skills/gstack` in a repo, otherwise `~/.codex/skills/gstack`) |
| Hook skills | `hooks:` frontmatter (enforced by Claude) | Inline safety advisory prose (advisory only) |
| `/codex` skill | Included (Claude wraps codex exec) | Excluded (self-referential) |

### Testing Codex output

```bash
# Run all static tests (includes Codex validation)
bun test

# Check freshness for both hosts
bun run gen:skill-docs --dry-run
bun run gen:skill-docs --host codex --dry-run

# Health dashboard covers both hosts
bun run skill:check
```

### Dev setup for .agents/

When you run `bin/dev-setup`, it creates symlinks in both `.claude/skills/` and `.agents/skills/` (if applicable), so Codex-compatible agents can discover your dev skills too. The `.agents/` directory is generated at setup time from `.tmpl` templates — it is gitignored and not committed.

### Adding a new skill

When you add a new skill template, both hosts get it automatically:
1. Create `{skill}/SKILL.md.tmpl`
2. Run `bun run gen:skill-docs` (Claude output) and `bun run gen:skill-docs --host codex` (Codex output)
3. The dynamic template discovery picks it up — no static list to update
4. Commit `{skill}/SKILL.md` — `.agents/` is generated at setup time and gitignored

## Conductor workspaces

If you're using [Conductor](https://conductor.build) to run multiple Claude Code sessions in parallel, `conductor.json` wires up workspace lifecycle automatically:

| Hook | Script | What it does |
|------|--------|-------------|
| `setup` | `bin/dev-setup` | Copies `.env` from main worktree, installs deps, symlinks skills |
| `archive` | `bin/dev-teardown` | Removes skill symlinks, cleans up `.claude/` directory |

When Conductor creates a new workspace, `bin/dev-setup` runs automatically. It detects the main worktree (via `git worktree list`), copies your `.env` so API keys carry over, and sets up dev mode — no manual steps needed.

**First-time setup:** Put your `ANTHROPIC_API_KEY` in `.env` in the main repo (see `.env.example`). Every Conductor workspace inherits it automatically.

## Things to know

- **SKILL.md files are generated.** Edit the `.tmpl` template, not the `.md`. Run `bun run gen:skill-docs` to regenerate.
- **TODOS.md is the unified backlog.** Organized by skill/component with P0-P4 priorities. `/ship` auto-detects completed items. All planning/review/retro skills read it for context.
- **Browse source changes need a rebuild.** If you touch `browse/src/*.ts`, run `bun run build`.
- **Dev mode shadows your global install.** Project-local skills take priority over `~/.claude/skills/gstack`. `bin/dev-teardown` restores the global one.
- **Conductor workspaces are independent.** Each workspace is its own git worktree. `bin/dev-setup` runs automatically via `conductor.json`.
- **`.env` propagates across worktrees.** Set it once in the main repo, all Conductor workspaces get it.
- **`.claude/skills/` is gitignored.** The symlinks never get committed.

## Testing your changes in a real project

**This is the recommended way to develop gstack.** Symlink your gstack checkout
into the project where you actually use it, so your changes are live while you
do real work:

```bash
# In your core project
ln -sfn /path/to/your/gstack-checkout .claude/skills/gstack
cd .claude/skills/gstack && bun install && bun run build
```

Now every gstack skill invocation in this project uses your working tree. Edit a
template, run `bun run gen:skill-docs`, and the next `/review` or `/qa` call picks
it up immediately.

**To go back to the stable global install**, just remove the symlink:

```bash
rm .claude/skills/gstack
```

Claude Code falls back to `~/.claude/skills/gstack/` automatically.

### Alternative: point your global install at a branch

If you don't want per-project symlinks, you can switch the global install:

```bash
cd ~/.claude/skills/gstack
git fetch origin
git checkout origin/<branch>
bun install && bun run build
```

This affects all projects. To revert: `git checkout main && git pull && bun run build`.

## Community PR triage (wave process)

When community PRs accumulate, batch them into themed waves:

1. **Categorize** — group by theme (security, features, infra, docs)
2. **Deduplicate** — if two PRs fix the same thing, pick the one that
   changes fewer lines. Close the other with a note pointing to the winner.
3. **Collector branch** — create `pr-wave-N`, merge clean PRs, resolve
   conflicts for dirty ones, verify with `bun test && bun run build`
4. **Close with context** — every closed PR gets a comment explaining
   why and what (if anything) supersedes it. Contributors did real work;
   respect that with clear communication.
5. **Ship as one PR** — single PR to main with all attributions preserved
   in merge commits. Include a summary table of what merged and what closed.

See [PR #205](../../pull/205) (v0.8.3) for the first wave as an example.

## Shipping your changes

When you're happy with your skill edits:

```bash
/ship
```

This runs tests, reviews the diff, triages Greptile comments (with 2-tier escalation), manages TODOS.md, bumps the version, and opens a PR. See `ship/SKILL.md` for the full workflow.