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ship-pipeline

Full-stack app pipeline — build, test, review, and deploy across one or ALL repos. Scans CLAUDE.md, MEMORY.md, TODOs, open PRs, and issues for shippable work. Supports 'ship all' for multi-repo. Use when: 'build and ship', 'ship it', 'ship all', 'deploy everything', 'full pipeline', 'what needs shipping', 'end to end'.

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SKILL.md(原文)

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Ship Pipeline

Full-stack app development pipeline — frontend (Flutter/Next.js), backend (Node/Fastify/Cloud Functions), database (Firestore/PostgreSQL/Supabase), infrastructure (CI/CD, deploy, monitoring). Builds fast, then the safety net catches everything before production.

Run the entire pipeline autonomously.

INPUT

$ARGUMENTS — what to build or ship. Can be:

  • A feature description ("add a settings page with dark mode toggle")
  • A full-stack feature ("add Stripe payments with webhook handler and checkout screen")
  • A backend-only feature ("add email verification endpoint")
  • A spec or story (from /spec output)
  • A screenshot or design reference
  • "ship" or "deploy" — ship uncommitted changes in the current repo
  • "ship all" — scan ALL repos in the current directory (or ~/personal/) for anything shippable and ship everything

If no arguments provided, check for uncommitted changes and ship those.

============================================================ PHASE 0: CONTEXT & DISCOVERY

0.1 Multi-Repo Detection

If the user said "ship all" or "all", or if the current directory contains multiple git repos:

  1. Scan for all git repos: find . -maxdepth 2 -name ".git" -type d
  2. For each repo, gather:
    • Uncommitted changes (git status --short)
    • Unpushed commits (git log origin/main..HEAD --oneline)
    • Dirty worktrees
    • Failing CI (gh api repos/{owner}/{repo}/actions/runs?per_page=1)
  3. Present the ship manifest:
SHIP MANIFEST
====================================
pet-sitter:       3 uncommitted files, 0 unpushed
recipe-ai:        clean, 2 unpushed commits
confidence-coach:  clean, clean
skills-hub:       1 uncommitted, 0 unpushed, CI failing
deal-worthy:      clean, clean
====================================
Repos to ship: 3 (pet-sitter, recipe-ai, skills-hub)
Repos clean: 2 (confidence-coach, deal-worthy)
  1. For each repo with something to ship, run Phases 0.2 through 4 sequentially. Use subagents for repos that are independent (no shared state).

0.2 Project Discovery (per repo, 30 seconds max)

  1. Read CLAUDE.md for project conventions, stack, and architecture.
  2. Read MEMORY.md for debt items, open issues, or pending work from last /recall.
  3. Scan for shippable items:
    • git status — uncommitted changes
    • git log origin/main..HEAD — unpushed commits
    • grep -r "TODO\|FIXME\|WIP\|HACK" --include="*.ts" --include="*.dart" --include="*.tsx" -l — unfinished work in code
    • docs/ — any specs or stories that reference unimplemented features
    • gh pr list --state open — open PRs that might need merging
    • gh issue list --state open --limit 5 — open issues assigned to you
  4. Identify the tech stack:
    • Flutter (Dart) — check pubspec.yaml
    • Web backend (Node/Express/Fastify) — check package.json
    • Database (Firebase/Supabase/PostgreSQL) — check configs
    • State management (Riverpod/Bloc/Provider) — check imports
  5. Summarize in 3 bullets: what exists, what's shippable, what's the priority.

DO NOT spend more than 30 seconds per repo on this phase.

============================================================ PHASE 1: ARCH REVIEW (if new feature)

Skip this phase if the user said "deploy" or "ship" (feature already exists).

Run a quick architectural review of the proposed changes:

  1. COMPONENT REUSE CHECK: Search for existing screens/widgets that do similar things. If 50%+ overlap exists, extend the existing component — do NOT create a new one.

  2. SERVICE ARCHITECTURE CHECK: If adding new data operations, verify they go in the right domain service (not a god-object service file).

  3. FIRESTORE/DB RULES CHECK (if Firebase): Design security rules upfront for any new collections. Write rules in the SAME commit as the feature.

  4. FILE SIZE CHECK: No new file should exceed 300 lines on creation. Plan the decomposition before writing.

Output: One paragraph summary of the plan. Then move immediately to Phase 2.

============================================================ PHASE 2: BUILD IT (60% of time budget)

Build the feature with maximum velocity.

RULES:

  • Ship working code, not perfect code. Polish comes later.
  • One feature at a time. No scope creep.
  • Use existing patterns from the codebase — don't invent new ones.
  • Every screen gets: loading state, error state, empty state. No exceptions.
  • Every interactive element gets: 48dp touch target, Semantics wrapper. No exceptions.
  • Use design tokens from the theme (AppSpacing, AppColors, etc.), not hardcoded values.
  • Write tests ALONGSIDE features, not after. Every screen gets a widget test.

FOR FLUTTER FRONTEND:

  • New screens follow the existing screen pattern (ConsumerWidget/ConsumerStatefulWidget)
  • State management follows existing provider pattern (Riverpod/Bloc/whatever's used)
  • Navigation follows existing router pattern (GoRouter/auto_route/Navigator)
  • Models include fromJson/toJson/fromFirestore as needed
  • Services are domain-split (BookingService, UserService — not one giant service)
  • Screens must handle: loading state, error state, empty state, offline state

FOR BACKEND (Node/Fastify/Express/Cloud Functions):

  • New endpoints follow existing route pattern and naming conventions
  • Input validation with Zod/Joi/class-validator on every endpoint
  • Error handling: typed errors with codes, never leak internal details to client
  • Auth middleware on every protected endpoint
  • Rate limiting on public endpoints
  • Database queries use parameterized queries (no string interpolation)
  • Cloud Functions: idempotency keys on mutations, proper error codes (HttpsError)
  • Tests: at least 2 tests per endpoint (happy path + error case)

FOR DATABASE (Firestore/PostgreSQL/Supabase):

  • Schema changes tracked via migrations (Prisma migrate, node-pg-migrate, etc.)
  • Firestore: security rules written in the SAME commit as the feature
  • Every new collection/table has indexes for expected query patterns
  • No raw DDL edits without a migration tool
  • Seed data for development/testing if new tables added

FOR WEB FRONTEND (Next.js/React):

  • New pages follow existing route pattern (App Router conventions)
  • API calls go through a typed client (not raw fetch scattered everywhere)
  • Server Components by default, Client Components only when needed
  • SEO: proper meta tags, OpenGraph, title for every page
  • Input validation on every form field
  • Error boundaries around async components

FOR CI/CD & INFRASTRUCTURE:

  • Workflow files validated before push (runner labels, secret refs, artifact paths)
  • Docker builds tested locally before pushing (if Dockerized)
  • Environment variables documented in .env.example
  • No secrets in source code — use GitHub Secrets or env vars

COMMIT AFTER EACH LOGICAL UNIT:

  • Screen + provider + service + test = one commit
  • Use conventional commits: feat: add settings screen with dark mode toggle
  • Never commit secrets, .env files, or PII

============================================================ PHASE 3: SAFETY NET — VERIFY EVERYTHING (30% of time budget)

The build is done. Now make sure it doesn't blow up in production.

Run these checks IN ORDER. Fix issues as you find them — don't just report them.

3.1 Tests

flutter test          # or: npm test, pnpm test
flutter analyze       # or: tsc --noEmit
dart format --set-exit-if-changed .

If tests fail: fix the test or the code. Re-run until green. If analyzer has issues: fix them. Zero issues required. If formatting fails: run dart format . and commit.

3.2 Security Review (quick pass)

Check for:

  • No API keys or secrets in source code
  • No PII logged or exposed in error messages
  • Input validation on all user-facing forms
  • Firestore rules cover all new collections (if Firebase)
  • No SQL injection vectors (if SQL)
  • Auth checks on all new endpoints/screens that need them

3.3 Accessibility Check

  • Every image/icon has semanticLabel or alt text
  • Touch targets are 48dp minimum
  • Contrast ratios meet WCAG AA (4.5:1 text, 3:1 large text)
  • Screen reader can navigate all interactive elements

3.4 Performance Check

  • No unnecessary rebuilds (const constructors where possible)
  • Lists use ListView.builder (not Column with children for long lists)
  • Images are appropriately sized (not loading 4K images for thumbnails)
  • No blocking operations on the main thread

3.5 Design Consistency

  • Colors use theme tokens (no hardcoded hex values)
  • Spacing uses AppSpacing tokens (no magic numbers)
  • Typography uses theme text styles
  • New screens match existing design language

Fix EVERY issue found. Commit fixes separately: fix: resolve analyzer warnings

============================================================ PHASE 4: PREFLIGHT & SHIP (10% of time budget)

4.1 Preflight

  • git status — no uncommitted changes
  • git diff origin/main — review the full diff one more time
  • All tests pass
  • Build succeeds: flutter build web or flutter build apk --debug
  • No TODO or FIXME left in new code

4.2 Push

  • Push to main (if solo project per CLAUDE.md) or create PR (if team project)
  • If pre-push hook exists, let it run — fix any failures

4.3 Deploy (if deploy workflows exist)

  • Check for deploy workflows: ls .github/workflows/deploy*
  • If found, trigger: gh workflow run deploy.yml
  • Monitor until deploy succeeds or fails
  • If deploy fails on a fixable issue (build number, signing, path): fix and retry once

4.4 If deploying to App Stores:

  • iOS: gh workflow run deploy-ios.yml (or fastlane ios upload)
  • Android: gh workflow run deploy-android.yml -f track=internal
  • Wait for both to complete
  • Report upload status

============================================================ OUTPUT

After the pipeline completes, print:

## Ship Pipeline Complete

**Feature:** {what was built}
**Commits:** {N} commits
**Tests:** {pass count} passing, {fail count} failing
**Analyzer:** {issue count} issues (should be 0)

### What shipped
- {bullet summary of each commit}

### Safety checks
- Tests: PASS
- Security: PASS (or: {issues found and fixed})
- A11y: PASS (or: {issues found and fixed})
- Performance: PASS
- Design consistency: PASS

### Deploy
- CI: {status}
- TestFlight: {status or N/A}
- Play Store: {status or N/A}

### Time
- Build: {X} min
- Safety net: {X} min
- Deploy: {X} min

============================================================ SELF-EVOLUTION TELEMETRY

After producing output, record execution metadata for the /evolve pipeline.

Check if a project memory directory exists:

  • Look for the project path in ~/.claude/projects/
  • If found, append to skill-telemetry.md

Entry format:

/ship-pipeline -- {{YYYY-MM-DD}}

  • Outcome: {{SUCCESS | PARTIAL | FAILED}}
  • Feature: {{what was built}}
  • Commits: {{N}}
  • Tests: {{pass/fail count}}
  • Security issues: {{N found, N fixed}}
  • A11y issues: {{N found, N fixed}}
  • Deploy: {{success/failure/skipped}}
  • Self-healed: {{yes -- what | no}}
  • Bottleneck: {{which phase took longest}}
  • Suggestion: {{improvement idea or "none"}}

Only log if the memory directory exists. Skip silently if not found.

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