github-actions-pipeline
Skill1 starsChanged 5 months agoApache-2.0View on GitHub
Creates GitHub Actions CI/CD pipelines with build, test, lint, and deploy stages. Use when setting up or improving automated workflows in GitHub.
1 other project uses a version of this.
Adopted by
Most recently taken up by
- KhaledSaeed18/dotclaudetheir own version, first seen Jul 4, 2026
Other versions1 project uses a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 1
- KhaledSaeed18/dotclaude★ 5same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
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The file
We split this skill into the rules it gives an agent
5 rules. About 0 are common, 2 are distinctive, and 3 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈2
Distinctive · estimate
This author's own choices. Worth a look.
3
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 40
Use actions/cache or actions/setup-node with cache for node_modules / pnpm store.
- Distinctive: line 67
Flaky tests: Add retry logic or quarantine jobs.
- Very specific: line 68
Long builds: Use actions/cache aggressively and consider self-hosted runners for very large repos.
- Very specific: line 69
Secret leaks: Never echo secrets; use ::add-mask::.
- Distinctive: line 75
Check Actions tab for clean logs and artifacts.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Overview
Designs complete, efficient GitHub Actions workflows for CI and CD. Includes triggers, job matrices, intelligent caching (npm/pip/pnpm/yarn), secret management, conditional execution, artifact handling, and deployment patterns to common platforms (Vercel, AWS, GCP, Fly.io, self-hosted).
When to Use This Skill
- Setting up CI for a new repository.
- Improving slow, flaky, or expensive existing pipelines.
- Adding deployment automation.
Prerequisites
- GitHub repository with Actions enabled.
- Tests, linters, and build commands already defined in package.json / Makefile / etc.
- Secrets configured in GitHub repo settings (or org level).
Steps
- Define triggers (on push to main, PRs, manual, schedule for nightly).
- Create jobs:
linttest(with matrix for node versions or browsers if needed)builddeploy(only on main, after tests pass)
- Caching:
- Use
actions/cacheoractions/setup-nodewith cache for node_modules / pnpm store. - Cache Docker layers when building images.
- Use
- Secrets & environments:
- Use
${{ secrets.VAR }}. - Protect production deploys with Environments + required reviewers.
- Use
- Conditional steps and
needs:for dependency. - Reusable workflows for common patterns across repos.
- Deployment examples:
- Vercel (using
vercelaction or CLI). - AWS (ECS, Lambda, S3 + CloudFront).
- Fly.io, Railway, Render, etc.
- Vercel (using
- Output:
- Full
.github/workflows/ci.ymlandcd.yml(or combined). - Required secrets list.
- How to add environments.
- Full
Examples
A production-grade CI workflow with pnpm caching, parallel jobs, and a CD workflow that deploys to Vercel on main (with preview deploys on PRs) is included, plus patterns for AWS and Docker-based deploys.
Edge Cases & Error Handling
- Flaky tests: Add retry logic or quarantine jobs.
- Long builds: Use
actions/cacheaggressively and consider self-hosted runners for very large repos. - Secret leaks: Never
echosecrets; use::add-mask::.
Verification
- Push a PR — CI runs and reports status.
- Merge to main — CD triggers and deploys successfully.
- Check Actions tab for clean logs and artifacts.
- Success: Every PR is validated, main is always deployable, deploys are automatic and safe.
References
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
Reviews can't be read right now.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

