Files
gstack/CONTRIBUTING.md
Garry Tan 8115951284 feat: recursive self-improvement — operational learning + full skill wiring (v0.13.8.0) (#647)
* refactor: remove dead contributor mode, replace with operational self-improvement slot

Contributor mode never fired in 18 days of heavy use (required manual opt-in
via gstack-config, gated behind _CONTRIB=true, wrote disconnected markdown).

Removes: generateContributorMode(), _CONTRIB bash var, 2 E2E tests, touchfile
entry, doc references. Cleans up skip-lists in plan-ceo-review, autoplan,
review resolver, and document-release templates.

The operational self-improvement system (next commit) replaces this slot with
automatic learning capture that requires no opt-in.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

* feat: operational self-improvement — every skill learns from failures

Adds universal operational learning capture to the preamble completion protocol.
At the end of every skill session, the agent reflects on CLI failures, wrong
approaches, and project quirks, logging them as type "operational" to the
learnings JSONL. Future sessions surface these automatically.

- generateCompletionStatus(ctx) now includes operational capture section
- Preamble bash shows top 3 learnings inline when count > 5
- New "operational" type in generateLearningsLog alongside pattern/pitfall/etc
- Updated unit tests + operational seed entry in learnings E2E

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

* feat: wire learnings into all insight-producing skills

Adds LEARNINGS_SEARCH and/or LEARNINGS_LOG to 10 skill templates that
produce reusable insights but were previously disconnected from the
learning system:

- office-hours, plan-ceo-review, plan-eng-review: add LOG (had SEARCH)
- plan-design-review: add both SEARCH + LOG (had neither)
- design-review, design-consultation, cso, qa, qa-only: add both
- retro: add SEARCH (had LOG)

13 skills now fully participate in the learning loop (read + write).
Every review, QA, investigation, and design session both consults prior
learnings and contributes new ones.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

* test: add operational-learning E2E test (gate-tier)

Validates the write path: agent encounters a CLI failure, logs an
operational learning to JSONL via gstack-learnings-log. Replaces the
removed contributor-mode E2E test.

Setup: temp git repo, copy bin scripts, set GSTACK_HOME.
Prompt: simulated npm test failure needing --experimental-vm-modules.
Assert: learnings.jsonl exists with type=operational entry.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

* fix: learnings-show E2E slug mismatch — seed at computed slug, not hardcoded

The test seeded learnings at projects/test-project/ but gstack-slug computes
the slug from basename(workDir) when no git remote exists. The agent's search
looked at the wrong path and found nothing.

Fix: compute slug the same way gstack-slug does (basename + sanitize) and
seed the learnings there.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

* chore: bump version and changelog (v0.13.8.0)

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

---------

Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-03-31 23:08:22 -06:00

400 lines
18 KiB
Markdown

# 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
```
## Operational self-improvement
gstack automatically learns from failures. At the end of every skill session, the agent
reflects on what went wrong (CLI errors, wrong approaches, project quirks) and logs
operational learnings to `~/.gstack/projects/{slug}/learnings.jsonl`. Future sessions
surface these learnings automatically, so gstack gets smarter on your codebase over time.
No setup needed. Learnings are logged automatically. View them with `/learn`.
### The contributor workflow
1. **Use gstack normally** — operational learnings are captured automatically
2. **Check your learnings:** `/learn` or `ls ~/.gstack/projects/*/learnings.jsonl`
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 && ./setup
```
Setup creates the per-skill symlinks (`qa -> gstack/qa`, etc.) and asks your
prefix preference. Pass `--no-prefix` to skip the prompt and use short names.
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 <- short names (default)
│ ├── ship -> gstack/ship <- or gstack-review, gstack-ship if --prefix
│ └── ... <- one symlink per skill
├── review/
│ └── SKILL.md <- edit this, test with /review
├── ship/
│ └── SKILL.md
├── browse/
│ ├── src/ <- TypeScript source
│ └── dist/ <- compiled binary (gitignored)
└── ...
```
Skill symlink names depend on your prefix setting (`~/.gstack/config.yaml`).
Short names (`/review`, `/ship`) are the default. Run `./setup --prefix` if you
prefer namespaced names (`/gstack-review`, `/gstack-ship`).
## 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.
### Step 1: Symlink your checkout
```bash
# In your core project (not the gstack repo)
ln -sfn /path/to/your/gstack-checkout .claude/skills/gstack
```
### Step 2: Run setup to create per-skill symlinks
The `gstack` symlink alone isn't enough. Claude Code discovers skills through
individual symlinks (`qa -> gstack/qa`, `ship -> gstack/ship`, etc.), not through
the `gstack/` directory itself. Run `./setup` to create them:
```bash
cd .claude/skills/gstack && bun install && bun run build && ./setup
```
Setup will ask whether you want short names (`/qa`) or namespaced (`/gstack-qa`).
Your choice is saved to `~/.gstack/config.yaml` and remembered for future runs.
To skip the prompt, pass `--no-prefix` (short names) or `--prefix` (namespaced).
### Step 3: Develop
Edit a template, run `bun run gen:skill-docs`, and the next `/review` or `/qa`
call picks it up immediately. No restart needed.
### Going back to the stable global install
Remove the project-local symlink. Claude Code falls back to `~/.claude/skills/gstack/`:
```bash
rm .claude/skills/gstack
```
The per-skill symlinks (`qa`, `ship`, etc.) still point to `gstack/...`, so they'll
resolve to the global install automatically.
### Switching prefix mode
If you vendored gstack with one prefix setting and want to switch:
```bash
cd .claude/skills/gstack && ./setup --no-prefix # switch to /qa, /ship
cd .claude/skills/gstack && ./setup --prefix # switch to /gstack-qa, /gstack-ship
```
Setup cleans up the old symlinks automatically. No manual cleanup needed.
### 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 && ./setup
```
This affects all projects. To revert: `git checkout main && git pull && bun run build && ./setup`.
## 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.