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.

git clone https://github.com/garrytan/gstack.git && cd gstack
bun install                    # install dependencies
bin/dev-setup                  # activate dev mode

Full clone vs shallow. The README's user-facing install uses --depth 1 for speed. As a contributor, use a full clone (no --depth flag) — you'll need history for git log, git blame, git bisect, and reviewing PRs against earlier versions. If you already have a --depth 1 clone from following the README, promote it to a full clone with git fetch --unshallow.

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

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:

   # 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 per-skill directories with SKILL.md symlinks inside (qa/SKILL.md -> gstack/qa/SKILL.md), links each skill's runtime assets alongside (sections/, templates, checklists — everything except SKILL.md, tests, build output, and .tmpl sources), 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/                  <- real directory (short name, default)
│   │   └── SKILL.md -> gstack/review/SKILL.md
│   ├── ship/                    <- or gstack-review/, gstack-ship/ if --prefix
│   │   └── SKILL.md -> gstack/ship/SKILL.md
│   └── ...                      <- one directory per skill
├── review/
│   └── SKILL.md                 <- edit this, test with /review
├── ship/
│   └── SKILL.md
├── browse/
│   ├── src/                     <- TypeScript source
│   └── dist/                    <- compiled binary (gitignored)
└── ...

Setup creates real directories (not symlinks) at the top level with a SKILL.md symlink inside, plus links to each skill's runtime assets (sections/, templates, checklists). Alias skills (_gstack-command, connect-chrome) install as rewritten copies, never symlinks — editing a symlinked alias would corrupt the generated source. This ensures Claude discovers them as top-level skills, not nested under gstack/. 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

# 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

Brain-aware blocks in a dev workspace (gbrain installed)

If gbrain is installed and usable (bin/gstack-gbrain-detect --is-ok exits 0), bin/dev-setup keeps your tracked SKILL.md files canonical and renders the brain-aware variant (the GBRAIN_CONTEXT_LOAD / GBRAIN_SAVE_RESULTS blocks) into .claude/gstack-rendered/ (gitignored, per-workspace). It then repoints the workspace's SKILL.md symlinks at that render, so your Claude sessions get the full gbrain experience while git status stays clean. Under the hood, dev-setup passes GSTACK_SKIP_GBRAIN_REGEN=1 inline to the nested ./setup (so it never dirties tracked source) and runs gen:skill-docs:user --out-dir .claude/gstack-rendered, which rewrites only the section-base paths to point at the render. bin/dev-teardown removes the render. To make the blocks live across your other projects' Claude sessions, run gstack-config gbrain-refresh, which renders them to a user render dir (${GSTACK_USER_RENDER_DIR:-~/.gstack/render/claude}, swapped in only on a successful render) and repoints the installed skills at it via gstack-relink — the global install checkout stays git-clean, and the refresh is guarded so it never touches a symlinked or non-gstack directory.

Testing & evals

Setup

# 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 run test	Free	Command validation, snapshot flags, SKILL.md correctness, TODOS-format.md refs, observability unit tests
2 — E2E	bun run test:e2e	~$4.20	Full skill execution via claude -p subprocess
3 — LLM eval	EVALS=1 bun test test/skill-llm-eval.test.ts	~$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)

bun run test                 # Tier 1 only (run before every commit, ~90-100s for the full ~7,000-test suite)
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 (~$4.35/run)

Tier 1: Static validation (free)

Runs with bun run test, which routes through scripts/test-free-shards.ts: N concurrent shard processes under a strict output contract — a shard that exits without bun's own terminal summary line, or a crashed worker, fails the run, so silent truncation can never report green. Pass --verbose to forward the full child stream; --wall-timeout <secs> overrides the per-shard kill deadline. GSTACK_FREE_JOBS=<n> overrides the shard count (digits only, loud on garbage), and GSTACK_FREE_RETRY_FLAKY=1 opts into one serial retry pass for syscall-supervised sandboxes (off by default — dev boxes should see flakes). Working in a cloud sandbox? Run scripts/sandbox-doctor.sh once per boot to make the suite run green (details in docs/TESTING_INTERNALS.md). Don't type bare bun test for the suite: it walks the whole repo, loads paid eval files, and misses the strict classifier. 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-alignment invariant (test/e2e-tier-alignment.test.ts) — For every self-gated test/skill-e2e-*.test.ts named in a touchfiles dep list, the file's EVALS_TIER self-gate must match its declared tier in E2E_TIERS. Kills the "inert demotion" class where a test is re-tiered in touchfiles.ts but the file still gates on the old tier and keeps running in the wrong lane. Unmapped or mixed-tier files are reported, never silently skipped.
• Catalog budget (test/catalog-budget.test.ts) — Caps the aggregate discovery surface: the sum of every skill's frontmatter name + description (what every host loads at discovery, every session) must stay under 1,150 token-equivalents, with a 260-byte per-skill cap. Counting goes through the shared census in test/helpers/skill-census.ts (physical files vs authored skills vs registry entries — three deliberately different counts). Adding a skill? The failure message carries the re-measure + ratchet protocol.
• Context-budget ratchet (test/context-budget-ratchet.test.ts) — CI ceilings on the two token ledgers the catalog budget doesn't cover: the always-on full-frontmatter aggregate and each skill's per-invocation eager tokens (SKILL.md + forced-read references), graded against test/fixtures/context-budget.json via lib/context-bill.ts. New skills fail until they have a ceiling; ceilings for removed skills must be pruned. Legitimate growth or a landed reduction: re-run bun test/helpers/capture-context-budget.ts and commit the refreshed fixture in the same commit, so the change is a visible decision in the diff.

Tier 2: E2E via claude -p (~$4.20/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?"

# 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

Hermetic by default. Every E2E runner (claude -p, the real-PTY plan-mode runner, the Agent SDK runner, plus the codex and gemini runners) spawns its child through test/helpers/hermetic-env.ts: an allowlist-scrubbed environment, a fresh seeded CLAUDE_CONFIG_DIR, a temp GSTACK_HOME, and --strict-mcp-config. Your operator ~/.claude config, MCP servers (gbrain, Conductor), skills, ~/.gstack decision logs, and CONDUCTOR_* env never leak into the child, so local eval signal matches CI instead of disagreeing for reasons unrelated to the code under test. The hermetic CLAUDE_CONFIG_DIR seeds no skills by default; a PTY test that types a /skill slash command passes seedSkills: true to the PTY runner, which swaps in hermeticSkillsConfigDir() — a seeded skill registry that symlinks the LIVE working tree's SKILL.md files (by design: the skills are the subject under test, so a snapshot would measure stale copies). Set EVALS_HERMETIC=0 to debug against your real operator state (this also drops --strict-mcp-config). The wiring is pinned by test/hermetic-wiring.test.ts (a free static tripwire), two gate-tier isolation canaries in test/skill-e2e-hermetic-canary.test.ts, and the skill-seeding tripwires in test/hermetic-skills-seeding.test.ts / test/pty-skill-seeding-wiring.test.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:

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

Detached runs for agents and long suites. When an agent (or you, for a run you don't want to babysit) launches a long eval, use the eval:bg* scripts. They wrap the eval command in bin/gstack-detach: a fresh session that escapes a turn-boundary SIGTERM, a caffeinate wrapper that blocks idle-sleep, a machine-wide gstack-evals lock so concurrent worktrees serialize instead of saturating the model API, a run-scoped log under ~/.gstack-dev/eval-runs/, a per-tier watchdog, and a guaranteed ### gstack-detach EXIT=<code> ### sentinel so a poller never mistakes silence for success.

bun run eval:bg              # detached test:evals (diff-based)
bun run eval:bg:all          # detached test:evals:all
bun run eval:bg:gate         # detached gate-tier suite
bun run eval:bg:periodic     # detached periodic-tier suite

Each prints its log path. The gate and periodic variants run their tier through the sharded paid runner (scripts/test-paid-shards.ts, also available directly as bun run test:gate:sharded / bun run test:periodic:sharded): one Bun process per test file, an external wall-clock timeout that kills the shard's whole process group (stray claude/codex grandchildren included), a per-shard eval dir (GSTACK_EVAL_DIR=<evalDir>/shards/<slug>/), and an aggregate that distinguishes failed vs timed-out vs never-started shards. The runner also selects by diff: shards untouched by your branch are reported as skipped-by-diff, with a selection banner naming the reason (EVALS_ALL=1 forces everything). EVALS_JOBS sets how many shard processes run at once (default 4); EVALS_CONCURRENCY is bun's concurrency WITHIN a shard — they are deliberately separate knobs. eval:list, eval:compare, and eval:summary are shard-aware. Humans running bun run test:evals foreground in their own terminal don't need this — Ctrl-C is intended there.

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. Override the judge model per run with GSTACK_EVAL_MODEL_JUDGE:

• 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.

# 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.

Supply-chain gates run alongside it:

• Quality gate (.github/workflows/quality-gate.yml, every PR and push) — scans the diff's added lines for credentials using gstack's own redact engine (.github/scripts/gate-secret-scan.mjs). HIGH findings fail the job; MEDIUM findings surface as an advisory count. Fails closed if the scan can't produce a report. Also gates critical dependency advisories and runs ShellCheck on the setup/build boundaries.
• Dependency review (.github/workflows/dependency-review.yml) — reviews dependency changes on PRs that touch lockfiles or workflow files.
• OSV scanner (.github/workflows/osv-scanner.yml) — weekly vulnerability scan against the OSV database (config in .osv-scanner.toml).
• Dependabot (.github/dependabot.yml) — grouped dependency update PRs.

The supply-chain workflows pin their third-party actions to commit SHAs. The PR template (.github/PULL_REQUEST_TEMPLATE.md) asks for evidence — tests run, eval output — not promises.

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.

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

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

# 3. Check health (reports all hosts)
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.

Don't bundle puppeteer/Chromium in a skill. browse is the one shared Chromium per box, including offline local-render workloads. A skill that needs to rasterize its own HTML/JSON (diagrams, cards, og-images) should route through browse — screenshot --selector for visual output, load-html + js --out for bytes a render function returns — instead of npm i puppeteer and downloading a second Chromium that drifts out of version sync. One install to pin, one daemon to manage.

Jargon list (V1 writing style)

gstack's Writing Style section (injected into every tier-≥2 skill's preamble) glosses technical terms on first use per skill invocation. The list of terms that qualify for glossing lives at scripts/jargon-list.json — ~50 curated high-frequency terms (idempotent, race condition, N+1, backpressure, etc.). Terms not on the list are assumed plain-English enough.

Adding or removing a term: open a PR editing scripts/jargon-list.json. Run bun run gen:skill-docs after the edit — terms are baked into every generated SKILL.md at gen time, so changes take effect only after regeneration. No runtime loading; no user-side override. The repo list is the source of truth.

Good candidates for addition: high-frequency terms that non-technical users encounter in review output without context (common database/concurrency terminology, security jargon, frontend framework concepts). Don't add terms that only appear in one or two niche skills — the cost-to-value trade isn't worth the review overhead.

Multi-host development

gstack generates SKILL.md files for 10 hosts from one set of .tmpl templates. Each host is a typed config in hosts/*.ts. The generator reads these configs to produce host-appropriate output (different frontmatter, paths, tool names).

Supported hosts: Claude (primary), Codex, Factory, Kiro, OpenCode, Slate, Cursor, OpenClaw, Hermes, GBrain.

Generating for all hosts

# Generate for a specific host
bun run gen:skill-docs                    # Claude (default)
bun run gen:skill-docs --host codex       # Codex
bun run gen:skill-docs --host opencode    # OpenCode
bun run gen:skill-docs --host all         # All 10 hosts

# Or use build, which does all hosts + compiles binaries
bun run build

What changes between hosts

Each host config (hosts/*.ts) controls:

Aspect	Example (Claude vs Codex)
Output directory	{skill}/SKILL.md vs .agents/skills/gstack-{skill}/SKILL.md
Frontmatter	Full (name, description, hooks, version) vs minimal (name + description)
Paths	~/.claude/skills/gstack vs $GSTACK_ROOT
Tool names	"use the Bash tool" vs same (Factory rewrites to "run this command")
Hook skills	hooks: frontmatter vs inline safety advisory prose
Suppressed sections	None vs Codex self-invocation sections stripped
Model overlay	claude vs gpt (per-host defaultModel; --model or, at setup time, the Codex config.toml model overrides)

See scripts/host-config.ts for the full HostConfig interface.

Testing host output

# Run all static tests (includes parameterized smoke tests for all hosts)
bun run test

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

# Health dashboard covers all hosts
bun run skill:check

Adding a new host

See docs/ADDING_A_HOST.md for the full guide. Short version:

1. Create hosts/myhost.ts (copy from hosts/opencode.ts)
2. Add to hosts/index.ts
3. Add .myhost/ to .gitignore
4. Run bun run gen:skill-docs --host myhost
5. Run bun run test (parameterized tests auto-cover it)

Zero generator, setup, or tooling code changes needed.

Adding a new skill

When you add a new skill template, all hosts get it automatically:

1. Create {skill}/SKILL.md.tmpl
2. Run bun run gen:skill-docs --host all
3. The dynamic template discovery picks it up, no static list to update
4. Budget it: run bun test/helpers/capture-context-budget.ts and commit the refreshed test/fixtures/context-budget.json — the context-budget ratchet fails any skill without a ceiling
5. Commit {skill}/SKILL.md, external host output is generated at setup time and gitignored

Conductor workspaces

If you're using Conductor 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, runs ./setup non-interactively, and (if gbrain is installed) renders brain-aware blocks into .claude/gstack-rendered/ without dirtying tracked source
archive	bin/dev-teardown	Removes skill symlinks, the .claude/gstack-rendered/ render, and 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.

bin/dev-setup runs ./setup fully non-interactively (it passes --plan-tune-hooks=prompt and closes stdin), so a forwarded Conductor TTY can never hang on a hidden setup prompt. It also never installs the plan-tune Claude Code hooks, which means a throwaway workspace can't rewrite your global ~/.claude/settings.json to point at an ephemeral worktree path. To install the plan-tune hooks deliberately, run ./setup --plan-tune-hooks outside dev-setup (or gstack-config set plan_tune_hooks yes). The explicit flag counts as an explicit decision: setup's Conductor auto-opt-in for AskUserQuestion hooks fires only on the true silent fall-through (no flag, no GSTACK_PLAN_TUNE_HOOKS env var, no plan_tune_hooks key literally present in config, checked via gstack-config has), so it can never override dev-setup into installing hooks. One stated repair exception: setup's heal-first pass (gstack-settings-hook prune-stale --repoint) may prune dead gstack hook entries and re-point existing ones at the stable ~/.claude/skills/gstack install. That is strictly convergent repair, never a new registration, and registration itself is canonical-only, so an ephemeral tree path can never be baked into settings.json.

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

GSTACK_* env prefix (Conductor-injected keys). Conductor explicitly strips ANTHROPIC_API_KEY and OPENAI_API_KEY from every workspace's process env. The .env copy path doesn't restore them either — the strip happens after env inheritance. Users who want paid evals, /sync-gbrain embeddings, or claude-agent-sdk calls to work in a Conductor workspace must set GSTACK_ANTHROPIC_API_KEY and GSTACK_OPENAI_API_KEY in Conductor's workspace env config; Conductor passes those through untouched. On the gstack side, TS entry points import lib/conductor-env-shim.ts as a side effect, which promotes GSTACK_FOO_API_KEY to FOO_API_KEY when the canonical name is empty. If you add a new TS entry point that hits a paid API, add import "../lib/conductor-env-shim"; to the top of the file. Today the shim is imported from bin/gstack-gbrain-sync.ts, bin/gstack-model-benchmark, scripts/preflight-agent-sdk.ts, and test/helpers/e2e-helpers.ts.

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.
• Never write raw ln -snf in setup. Every link site in setup MUST route through the _link_or_copy SRC DST helper near the IS_WINDOWS detection. The helper preserves ln -snf on Unix and switches to cp -R / cp -f on Windows without Developer Mode, where plain ln -snf produces frozen file copies that don't refresh on git pull. test/setup-windows-fallback.test.ts enforces this with a static invariant — a single raw ln call outside the helper body fails CI.

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

# 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 top-level directories (qa/SKILL.md, ship/SKILL.md, etc.), not through the gstack/ directory itself. Run ./setup to create them:

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/:

rm .claude/skills/gstack

The per-skill directories (qa/, ship/, etc.) contain SKILL.md symlinks that point to gstack/..., so they'll resolve to the global install automatically.

Switching prefix mode

If you installed gstack with one prefix setting and want to switch:

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:

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 run 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 (v0.8.3) for the first wave as an example.

Upgrade migrations

When a release changes on-disk state (directory structure, config format, stale files) in ways that ./setup alone can't fix, add a migration script so existing users get a clean upgrade.

When to add a migration

• Changed how skill directories are created (symlinks vs real dirs)
• Renamed or moved config keys in ~/.gstack/config.yaml
• Need to delete orphaned files from a previous version
• Changed the format of ~/.gstack/ state files

Don't add a migration for: new features (users get them automatically), new skills (setup discovers them), or code-only changes (no on-disk state).

How to add one

1. Create gstack-upgrade/migrations/v{VERSION}.sh where {VERSION} matches the VERSION file for the release that needs the fix.
2. Make it executable: chmod +x gstack-upgrade/migrations/v{VERSION}.sh
3. The script must be idempotent (safe to run multiple times) and non-fatal (failures are logged but don't block the upgrade).
4. Include a comment block at the top explaining what changed, why the migration is needed, and which users are affected.

Example:

#!/usr/bin/env bash
# Migration: v0.15.2.0 — Fix skill directory structure
# Affected: users who installed with --no-prefix before v0.15.2.0
set -euo pipefail
SCRIPT_DIR="$(cd "$(dirname "$0")/../.." && pwd)"
"$SCRIPT_DIR/bin/gstack-relink" 2>/dev/null || true

How it runs

During /gstack-upgrade, after ./setup completes (Step 4.75), the upgrade skill scans gstack-upgrade/migrations/ and runs every v*.sh script whose version is newer than the user's old version. Scripts run in version order. Failures are logged but never block the upgrade.

Testing migrations

Migrations are tested as part of bun run test (tier 1, free). The test suite verifies that all migration scripts in gstack-upgrade/migrations/ are executable and parse without syntax errors.

Shipping your changes

When you're happy with your skill edits:

/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.