mirror of
https://github.com/garrytan/gstack.git
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dc5e0538e5
* refactor: extract gen-skill-docs into modular resolver architecture Break the 3000-line monolith into 10 domain modules under scripts/resolvers/: types, constants, preamble, utility, browse, design, testing, review, codex-helpers, and index. Each module owns one domain of template generation. The preamble module introduces a 4-tier composition system (T1-T4) so skills only pay for the preamble sections they actually need, reducing token usage for lightweight skills by ~40%. Adds a token budget dashboard that prints after every generation run showing per-skill and total token counts. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat: tiered preamble — skills only pay for what they use Tag all 23 templates with preamble-tier (T1-T4). Lightweight skills like /browse and /benchmark get a minimal preamble (~40% fewer tokens), while review skills get the full stack. Regenerate all SKILL.md files. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat: migrate eval storage to project-scoped paths Move eval results and E2E run artifacts from ~/.gstack-dev/evals/ to ~/.gstack/projects/$SLUG/evals/ so each project's eval history lives alongside its other gstack data. Falls back to legacy path if slug detection fails. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix: sync package.json version with VERSION after merge Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat: add WorktreeManager for isolated test environments Reusable platform module (lib/worktree.ts) that creates git worktrees for test isolation and harvests useful changes as patches. Includes SHA-256 dedup, original SHA tracking for committed change detection, and automatic gitignored artifact copying (.agents/, browse/dist/). 12 unit tests covering lifecycle, harvest, dedup, and error handling. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat: integrate worktree isolation into E2E test infrastructure Add createTestWorktree(), harvestAndCleanup(), and describeWithWorktree() helpers to e2e-helpers.ts. Add harvest field to EvalTestEntry for eval-store integration. Register lib/worktree.ts as a global touchfile. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat: run Gemini and Codex E2E tests in worktrees Switch both test suites from cwd: ROOT to worktree isolation. Gemini (--yolo) no longer pollutes the working tree. Codex (read-only) gets worktree for consistency. Useful changes are harvested as patches for cherry-picking. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix: skip symlinks in copyDirSync to prevent infinite recursion Adversarial review caught that .claude/skills/gstack may be a symlink back to the repo root, causing copyDirSync to recurse infinitely when copying gitignored artifacts into worktrees. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * chore: bump version and changelog (v0.11.12.0) Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * fix: relax session-awareness assertion to accept structured options The LLM consistently presents well-formatted A/B choices with pros/cons but doesn't always use the exact string "RECOMMENDATION". Accept case-insensitive "recommend", "option a", "which do you want", or "which approach" as equivalent signals of a structured recommendation. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> --------- Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
438 lines
18 KiB
Markdown
438 lines
18 KiB
Markdown
---
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name: setup-deploy
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preamble-tier: 2
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version: 1.0.0
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description: |
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MANUAL TRIGGER ONLY: invoke only when user types /setup-deploy.
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Configure deployment settings for /land-and-deploy. Detects your deploy
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platform (Fly.io, Render, Vercel, Netlify, Heroku, GitHub Actions, custom),
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production URL, health check endpoints, and deploy status commands. Writes
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the configuration to CLAUDE.md so all future deploys are automatic.
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Use when: "setup deploy", "configure deployment", "set up land-and-deploy",
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"how do I deploy with gstack", "add deploy config".
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allowed-tools:
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- Bash
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- Read
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- Write
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- Edit
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- Glob
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- Grep
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- AskUserQuestion
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---
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<!-- AUTO-GENERATED from SKILL.md.tmpl — do not edit directly -->
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<!-- Regenerate: bun run gen:skill-docs -->
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## Preamble (run first)
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```bash
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_UPD=$(~/.claude/skills/gstack/bin/gstack-update-check 2>/dev/null || .claude/skills/gstack/bin/gstack-update-check 2>/dev/null || true)
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[ -n "$_UPD" ] && echo "$_UPD" || true
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mkdir -p ~/.gstack/sessions
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touch ~/.gstack/sessions/"$PPID"
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_SESSIONS=$(find ~/.gstack/sessions -mmin -120 -type f 2>/dev/null | wc -l | tr -d ' ')
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find ~/.gstack/sessions -mmin +120 -type f -delete 2>/dev/null || true
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_CONTRIB=$(~/.claude/skills/gstack/bin/gstack-config get gstack_contributor 2>/dev/null || true)
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_PROACTIVE=$(~/.claude/skills/gstack/bin/gstack-config get proactive 2>/dev/null || echo "true")
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_BRANCH=$(git branch --show-current 2>/dev/null || echo "unknown")
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echo "BRANCH: $_BRANCH"
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echo "PROACTIVE: $_PROACTIVE"
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source <(~/.claude/skills/gstack/bin/gstack-repo-mode 2>/dev/null) || true
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REPO_MODE=${REPO_MODE:-unknown}
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echo "REPO_MODE: $REPO_MODE"
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_LAKE_SEEN=$([ -f ~/.gstack/.completeness-intro-seen ] && echo "yes" || echo "no")
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echo "LAKE_INTRO: $_LAKE_SEEN"
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_TEL=$(~/.claude/skills/gstack/bin/gstack-config get telemetry 2>/dev/null || true)
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_TEL_PROMPTED=$([ -f ~/.gstack/.telemetry-prompted ] && echo "yes" || echo "no")
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_TEL_START=$(date +%s)
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_SESSION_ID="$$-$(date +%s)"
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echo "TELEMETRY: ${_TEL:-off}"
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echo "TEL_PROMPTED: $_TEL_PROMPTED"
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mkdir -p ~/.gstack/analytics
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echo '{"skill":"setup-deploy","ts":"'$(date -u +%Y-%m-%dT%H:%M:%SZ)'","repo":"'$(basename "$(git rev-parse --show-toplevel 2>/dev/null)" 2>/dev/null || echo "unknown")'"}' >> ~/.gstack/analytics/skill-usage.jsonl 2>/dev/null || true
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# zsh-compatible: use find instead of glob to avoid NOMATCH error
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for _PF in $(find ~/.gstack/analytics -maxdepth 1 -name '.pending-*' 2>/dev/null); do [ -f "$_PF" ] && ~/.claude/skills/gstack/bin/gstack-telemetry-log --event-type skill_run --skill _pending_finalize --outcome unknown --session-id "$_SESSION_ID" 2>/dev/null || true; break; done
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```
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If `PROACTIVE` is `"false"`, do not proactively suggest gstack skills — only invoke
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them when the user explicitly asks. The user opted out of proactive suggestions.
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If output shows `UPGRADE_AVAILABLE <old> <new>`: read `~/.claude/skills/gstack/gstack-upgrade/SKILL.md` and follow the "Inline upgrade flow" (auto-upgrade if configured, otherwise AskUserQuestion with 4 options, write snooze state if declined). If `JUST_UPGRADED <from> <to>`: tell user "Running gstack v{to} (just updated!)" and continue.
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If `LAKE_INTRO` is `no`: Before continuing, introduce the Completeness Principle.
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Tell the user: "gstack follows the **Boil the Lake** principle — always do the complete
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thing when AI makes the marginal cost near-zero. Read more: https://garryslist.org/posts/boil-the-ocean"
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Then offer to open the essay in their default browser:
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```bash
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open https://garryslist.org/posts/boil-the-ocean
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touch ~/.gstack/.completeness-intro-seen
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```
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Only run `open` if the user says yes. Always run `touch` to mark as seen. This only happens once.
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If `TEL_PROMPTED` is `no` AND `LAKE_INTRO` is `yes`: After the lake intro is handled,
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ask the user about telemetry. Use AskUserQuestion:
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> Help gstack get better! Community mode shares usage data (which skills you use, how long
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> they take, crash info) with a stable device ID so we can track trends and fix bugs faster.
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> No code, file paths, or repo names are ever sent.
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> Change anytime with `gstack-config set telemetry off`.
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Options:
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- A) Help gstack get better! (recommended)
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- B) No thanks
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If A: run `~/.claude/skills/gstack/bin/gstack-config set telemetry community`
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If B: ask a follow-up AskUserQuestion:
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> How about anonymous mode? We just learn that *someone* used gstack — no unique ID,
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> no way to connect sessions. Just a counter that helps us know if anyone's out there.
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Options:
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- A) Sure, anonymous is fine
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- B) No thanks, fully off
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If B→A: run `~/.claude/skills/gstack/bin/gstack-config set telemetry anonymous`
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If B→B: run `~/.claude/skills/gstack/bin/gstack-config set telemetry off`
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Always run:
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```bash
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touch ~/.gstack/.telemetry-prompted
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```
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This only happens once. If `TEL_PROMPTED` is `yes`, skip this entirely.
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## AskUserQuestion Format
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**ALWAYS follow this structure for every AskUserQuestion call:**
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1. **Re-ground:** State the project, the current branch (use the `_BRANCH` value printed by the preamble — NOT any branch from conversation history or gitStatus), and the current plan/task. (1-2 sentences)
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2. **Simplify:** Explain the problem in plain English a smart 16-year-old could follow. No raw function names, no internal jargon, no implementation details. Use concrete examples and analogies. Say what it DOES, not what it's called.
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3. **Recommend:** `RECOMMENDATION: Choose [X] because [one-line reason]` — always prefer the complete option over shortcuts (see Completeness Principle). Include `Completeness: X/10` for each option. Calibration: 10 = complete implementation (all edge cases, full coverage), 7 = covers happy path but skips some edges, 3 = shortcut that defers significant work. If both options are 8+, pick the higher; if one is ≤5, flag it.
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4. **Options:** Lettered options: `A) ... B) ... C) ...` — when an option involves effort, show both scales: `(human: ~X / CC: ~Y)`
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Assume the user hasn't looked at this window in 20 minutes and doesn't have the code open. If you'd need to read the source to understand your own explanation, it's too complex.
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Per-skill instructions may add additional formatting rules on top of this baseline.
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## Completeness Principle — Boil the Lake
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AI makes completeness near-free. Always recommend the complete option over shortcuts — the delta is minutes with CC+gstack. A "lake" (100% coverage, all edge cases) is boilable; an "ocean" (full rewrite, multi-quarter migration) is not. Boil lakes, flag oceans.
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**Effort reference** — always show both scales:
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| Task type | Human team | CC+gstack | Compression |
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|-----------|-----------|-----------|-------------|
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| Boilerplate | 2 days | 15 min | ~100x |
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| Tests | 1 day | 15 min | ~50x |
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| Feature | 1 week | 30 min | ~30x |
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| Bug fix | 4 hours | 15 min | ~20x |
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Include `Completeness: X/10` for each option (10=all edge cases, 7=happy path, 3=shortcut).
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## Contributor Mode
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If `_CONTRIB` is `true`: you are in **contributor mode**. At the end of each major workflow step, rate your gstack experience 0-10. If not a 10 and there's an actionable bug or improvement — file a field report.
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**File only:** gstack tooling bugs where the input was reasonable but gstack failed. **Skip:** user app bugs, network errors, auth failures on user's site.
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**To file:** write `~/.gstack/contributor-logs/{slug}.md`:
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```
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# {Title}
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**What I tried:** {action} | **What happened:** {result} | **Rating:** {0-10}
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## Repro
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1. {step}
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## What would make this a 10
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{one sentence}
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**Date:** {YYYY-MM-DD} | **Version:** {version} | **Skill:** /{skill}
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```
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Slug: lowercase hyphens, max 60 chars. Skip if exists. Max 3/session. File inline, don't stop.
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## Completion Status Protocol
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When completing a skill workflow, report status using one of:
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- **DONE** — All steps completed successfully. Evidence provided for each claim.
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- **DONE_WITH_CONCERNS** — Completed, but with issues the user should know about. List each concern.
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- **BLOCKED** — Cannot proceed. State what is blocking and what was tried.
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- **NEEDS_CONTEXT** — Missing information required to continue. State exactly what you need.
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### Escalation
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It is always OK to stop and say "this is too hard for me" or "I'm not confident in this result."
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Bad work is worse than no work. You will not be penalized for escalating.
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- If you have attempted a task 3 times without success, STOP and escalate.
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- If you are uncertain about a security-sensitive change, STOP and escalate.
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- If the scope of work exceeds what you can verify, STOP and escalate.
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Escalation format:
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```
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STATUS: BLOCKED | NEEDS_CONTEXT
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REASON: [1-2 sentences]
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ATTEMPTED: [what you tried]
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RECOMMENDATION: [what the user should do next]
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```
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## Telemetry (run last)
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After the skill workflow completes (success, error, or abort), log the telemetry event.
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Determine the skill name from the `name:` field in this file's YAML frontmatter.
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Determine the outcome from the workflow result (success if completed normally, error
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if it failed, abort if the user interrupted).
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**PLAN MODE EXCEPTION — ALWAYS RUN:** This command writes telemetry to
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`~/.gstack/analytics/` (user config directory, not project files). The skill
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preamble already writes to the same directory — this is the same pattern.
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Skipping this command loses session duration and outcome data.
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Run this bash:
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```bash
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_TEL_END=$(date +%s)
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_TEL_DUR=$(( _TEL_END - _TEL_START ))
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rm -f ~/.gstack/analytics/.pending-"$_SESSION_ID" 2>/dev/null || true
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~/.claude/skills/gstack/bin/gstack-telemetry-log \
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--skill "SKILL_NAME" --duration "$_TEL_DUR" --outcome "OUTCOME" \
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--used-browse "USED_BROWSE" --session-id "$_SESSION_ID" 2>/dev/null &
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```
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Replace `SKILL_NAME` with the actual skill name from frontmatter, `OUTCOME` with
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success/error/abort, and `USED_BROWSE` with true/false based on whether `$B` was used.
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If you cannot determine the outcome, use "unknown". This runs in the background and
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never blocks the user.
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## Plan Status Footer
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When you are in plan mode and about to call ExitPlanMode:
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1. Check if the plan file already has a `## GSTACK REVIEW REPORT` section.
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2. If it DOES — skip (a review skill already wrote a richer report).
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3. If it does NOT — run this command:
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\`\`\`bash
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~/.claude/skills/gstack/bin/gstack-review-read
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\`\`\`
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Then write a `## GSTACK REVIEW REPORT` section to the end of the plan file:
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- If the output contains review entries (JSONL lines before `---CONFIG---`): format the
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standard report table with runs/status/findings per skill, same format as the review
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skills use.
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- If the output is `NO_REVIEWS` or empty: write this placeholder table:
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\`\`\`markdown
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## GSTACK REVIEW REPORT
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| Review | Trigger | Why | Runs | Status | Findings |
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|--------|---------|-----|------|--------|----------|
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| CEO Review | \`/plan-ceo-review\` | Scope & strategy | 0 | — | — |
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| Codex Review | \`/codex review\` | Independent 2nd opinion | 0 | — | — |
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| Eng Review | \`/plan-eng-review\` | Architecture & tests (required) | 0 | — | — |
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| Design Review | \`/plan-design-review\` | UI/UX gaps | 0 | — | — |
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**VERDICT:** NO REVIEWS YET — run \`/autoplan\` for full review pipeline, or individual reviews above.
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\`\`\`
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**PLAN MODE EXCEPTION — ALWAYS RUN:** This writes to the plan file, which is the one
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file you are allowed to edit in plan mode. The plan file review report is part of the
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plan's living status.
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# /setup-deploy — Configure Deployment for gstack
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You are helping the user configure their deployment so `/land-and-deploy` works
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automatically. Your job is to detect the deploy platform, production URL, health
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checks, and deploy status commands — then persist everything to CLAUDE.md.
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After this runs once, `/land-and-deploy` reads CLAUDE.md and skips detection entirely.
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## User-invocable
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When the user types `/setup-deploy`, run this skill.
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## Instructions
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### Step 1: Check existing configuration
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```bash
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grep -A 20 "## Deploy Configuration" CLAUDE.md 2>/dev/null || echo "NO_CONFIG"
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```
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If configuration already exists, show it and ask:
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- **Context:** Deploy configuration already exists in CLAUDE.md.
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- **RECOMMENDATION:** Choose A to update if your setup changed.
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- A) Reconfigure from scratch (overwrite existing)
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- B) Edit specific fields (show current config, let me change one thing)
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- C) Done — configuration looks correct
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If the user picks C, stop.
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### Step 2: Detect platform
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Run the platform detection from the deploy bootstrap:
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```bash
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# Platform config files
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[ -f fly.toml ] && echo "PLATFORM:fly" && cat fly.toml
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[ -f render.yaml ] && echo "PLATFORM:render" && cat render.yaml
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[ -f vercel.json ] || [ -d .vercel ] && echo "PLATFORM:vercel"
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[ -f netlify.toml ] && echo "PLATFORM:netlify" && cat netlify.toml
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[ -f Procfile ] && echo "PLATFORM:heroku"
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[ -f railway.json ] || [ -f railway.toml ] && echo "PLATFORM:railway"
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# GitHub Actions deploy workflows
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for f in .github/workflows/*.yml .github/workflows/*.yaml; do
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[ -f "$f" ] && grep -qiE "deploy|release|production|staging|cd" "$f" 2>/dev/null && echo "DEPLOY_WORKFLOW:$f"
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done
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# Project type
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[ -f package.json ] && grep -q '"bin"' package.json 2>/dev/null && echo "PROJECT_TYPE:cli"
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ls *.gemspec 2>/dev/null && echo "PROJECT_TYPE:library"
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```
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### Step 3: Platform-specific setup
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Based on what was detected, guide the user through platform-specific configuration.
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#### Fly.io
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If `fly.toml` detected:
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1. Extract app name: `grep -m1 "^app" fly.toml | sed 's/app = "\(.*\)"/\1/'`
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2. Check if `fly` CLI is installed: `which fly 2>/dev/null`
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3. If installed, verify: `fly status --app {app} 2>/dev/null`
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4. Infer URL: `https://{app}.fly.dev`
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5. Set deploy status command: `fly status --app {app}`
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6. Set health check: `https://{app}.fly.dev` (or `/health` if the app has one)
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Ask the user to confirm the production URL. Some Fly apps use custom domains.
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#### Render
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If `render.yaml` detected:
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1. Extract service name and type from render.yaml
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2. Check for Render API key: `echo $RENDER_API_KEY | head -c 4` (don't expose the full key)
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3. Infer URL: `https://{service-name}.onrender.com`
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4. Render deploys automatically on push to the connected branch — no deploy workflow needed
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5. Set health check: the inferred URL
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Ask the user to confirm. Render uses auto-deploy from the connected git branch — after
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merge to main, Render picks it up automatically. The "deploy wait" in /land-and-deploy
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should poll the Render URL until it responds with the new version.
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#### Vercel
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If vercel.json or .vercel detected:
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1. Check for `vercel` CLI: `which vercel 2>/dev/null`
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2. If installed: `vercel ls --prod 2>/dev/null | head -3`
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3. Vercel deploys automatically on push — preview on PR, production on merge to main
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4. Set health check: the production URL from vercel project settings
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#### Netlify
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If netlify.toml detected:
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1. Extract site info from netlify.toml
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2. Netlify deploys automatically on push
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3. Set health check: the production URL
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#### GitHub Actions only
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If deploy workflows detected but no platform config:
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1. Read the workflow file to understand what it does
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2. Extract the deploy target (if mentioned)
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3. Ask the user for the production URL
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#### Custom / Manual
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If nothing detected:
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Use AskUserQuestion to gather the information:
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1. **How are deploys triggered?**
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- A) Automatically on push to main (Fly, Render, Vercel, Netlify, etc.)
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- B) Via GitHub Actions workflow
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- C) Via a deploy script or CLI command (describe it)
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- D) Manually (SSH, dashboard, etc.)
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- E) This project doesn't deploy (library, CLI, tool)
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2. **What's the production URL?** (Free text — the URL where the app runs)
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3. **How can gstack check if a deploy succeeded?**
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- A) HTTP health check at a specific URL (e.g., /health, /api/status)
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- B) CLI command (e.g., `fly status`, `kubectl rollout status`)
|
|
- C) Check the GitHub Actions workflow status
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- D) No automated way — just check the URL loads
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|
|
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4. **Any pre-merge or post-merge hooks?**
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|
- Commands to run before merging (e.g., `bun run build`)
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- Commands to run after merge but before deploy verification
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|
|
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### Step 4: Write configuration
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|
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Read CLAUDE.md (or create it). Find and replace the `## Deploy Configuration` section
|
|
if it exists, or append it at the end.
|
|
|
|
```markdown
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|
## Deploy Configuration (configured by /setup-deploy)
|
|
- Platform: {platform}
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- Production URL: {url}
|
|
- Deploy workflow: {workflow file or "auto-deploy on push"}
|
|
- Deploy status command: {command or "HTTP health check"}
|
|
- Merge method: {squash/merge/rebase}
|
|
- Project type: {web app / API / CLI / library}
|
|
- Post-deploy health check: {health check URL or command}
|
|
|
|
### Custom deploy hooks
|
|
- Pre-merge: {command or "none"}
|
|
- Deploy trigger: {command or "automatic on push to main"}
|
|
- Deploy status: {command or "poll production URL"}
|
|
- Health check: {URL or command}
|
|
```
|
|
|
|
### Step 5: Verify
|
|
|
|
After writing, verify the configuration works:
|
|
|
|
1. If a health check URL was configured, try it:
|
|
```bash
|
|
curl -sf "{health-check-url}" -o /dev/null -w "%{http_code}" 2>/dev/null || echo "UNREACHABLE"
|
|
```
|
|
|
|
2. If a deploy status command was configured, try it:
|
|
```bash
|
|
{deploy-status-command} 2>/dev/null | head -5 || echo "COMMAND_FAILED"
|
|
```
|
|
|
|
Report results. If anything failed, note it but don't block — the config is still
|
|
useful even if the health check is temporarily unreachable.
|
|
|
|
### Step 6: Summary
|
|
|
|
```
|
|
DEPLOY CONFIGURATION — COMPLETE
|
|
════════════════════════════════
|
|
Platform: {platform}
|
|
URL: {url}
|
|
Health check: {health check}
|
|
Status cmd: {status command}
|
|
Merge method: {merge method}
|
|
|
|
Saved to CLAUDE.md. /land-and-deploy will use these settings automatically.
|
|
|
|
Next steps:
|
|
- Run /land-and-deploy to merge and deploy your current PR
|
|
- Edit the "## Deploy Configuration" section in CLAUDE.md to change settings
|
|
- Run /setup-deploy again to reconfigure
|
|
```
|
|
|
|
## Important Rules
|
|
|
|
- **Never expose secrets.** Don't print full API keys, tokens, or passwords.
|
|
- **Confirm with the user.** Always show the detected config and ask for confirmation before writing.
|
|
- **CLAUDE.md is the source of truth.** All configuration lives there — not in a separate config file.
|
|
- **Idempotent.** Running /setup-deploy multiple times overwrites the previous config cleanly.
|
|
- **Platform CLIs are optional.** If `fly` or `vercel` CLI isn't installed, fall back to URL-based health checks.
|