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Ci cd pipeline

Skill kwhorne/elyra-skills/skills/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.

Install
npx -y skills add kwhorne/elyra-skills --skill ci-cd-pipeline

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  • 1 stars1 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

Copied from the file, not written here

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.

The file declares its own license as MIT. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.

SKILL.md

3.7 KB, as published. Nobody here has run it

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.json scripts, 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-error on 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: 3 as the official fix for flaky tests
  • ❌ Deploying from a laptop "just this once"
  • @latest/@main on 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

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.