Ci cd pipeline
51 production-grade Agent Skills for AI coding agents — full software lifecycle (idea → spec → build → review → ship → operate → maintain) plus Laravel/TALL/VILT/Filament stack workflows. Works with Elyra, Claude Code, Cursor, and more.
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Design or review a CI/CD pipeline - stage ordering, quality gates, caching, secrets handling, and deploy strategy. Use when the user asks to set up CI, fix a slow or flaky pipeline, review GitHub Actions/GitLab CI config, add quality gates, or design a deployment workflow.
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SKILL.md
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CI/CD Pipeline
A pipeline has two jobs: block bad changes and ship good ones fast. Every stage must serve one of those, or it's waste.
When to use
- "Set up CI for this project" / "add a GitHub Actions workflow"
- "The pipeline is slow / flaky / red all the time"
- Reviewing
.github/workflows/,.gitlab-ci.yml,Jenkinsfile, etc. - Designing deploys: environments, approvals, rollback
Principles
- Fail fast, fail cheap. Cheapest checks first: lint → types → unit → integration → e2e. A typo shouldn't wait 20 minutes to be reported.
- Reproduce locally. Every CI step must be runnable on a dev machine with one command. "Only fails in CI" is a design smell.
- Flaky = broken. A test that fails 5% of the time gets quarantined and fixed, not retried forever.
- The pipeline is code. Reviewed, versioned, no snowflake config in web UIs.
Process
1. Inventory
- Detect stack and existing config:
ls .github/workflows/ .gitlab-ci.yml Jenkinsfile 2>/dev/null - What commands does the project already run locally? (
composer.json/package.jsonscripts,Makefile) — CI should call those, not duplicate them
2. Design the stages
PR: lint/format → type-check → unit tests → build → integration/e2e
Merge: all of the above → deploy staging → smoke test
Release: deploy production (gated) → smoke test → monitor window
- Stages with no dependency on each other run in parallel
- Target: PR feedback < 10 minutes. Past that, people batch changes and quality drops
3. Make it fast
- Cache dependency installs keyed on lockfile hash; cache build artifacts between jobs
- Don't rebuild — build once, pass the artifact to later stages
- Split slow test suites with sharding/parallelism rather than skipping them
4. Make it safe
- Secrets via the CI provider's secret store — never in YAML, never echoed in logs
- Pin third-party actions/images to a SHA or exact version, not
@latest - Least-privilege tokens: a test job doesn't need deploy credentials
- Production deploys: explicit approval gate or protected environment, and a documented rollback (previous artifact redeploy, not "fix forward and pray")
5. Make it honest
- No
continue-on-erroron quality gates - No auto-retry as a flakiness blanket — max one retry, with the flake tracked as a bug
- Branch protection: green pipeline required to merge
Output format
When reviewing or designing, report:
## Pipeline: <project>
**Current state:** stages, duration, pain points (or "none — new setup")
### Proposed stages
| Stage | Runs on | Duration target | Gate? |
|-------|---------|-----------------|-------|
| … | PR | … | yes |
### Changes
1. … (why)
### Risks / follow-ups
- …
Anti-patterns
- ❌ One mega-job running everything serially — no parallelism, no fail-fast
- ❌ CI commands that differ from local commands (drift guaranteed)
- ❌
retry: 3as the official fix for flaky tests - ❌ Deploying from a laptop "just this once"
- ❌
@latest/@mainon third-party actions — supply-chain roulette - ❌ Secrets interpolated into commands where they leak into logs
- ❌ A red main branch that everyone has learned to ignore