ci-pipeline-generator
Skill1 starsChanged 5 months agoMITView on GitHub
Use this to generate a CI pipeline that builds, tests, and validates a project on every change.
In this repository37 other files it gives its agents.
- a11y-auditorSkill
- aria-annotatorSkill
- color-contrast-fixerSkill
- keyboard-nav-checkerSkill
- agent-scaffoldSkill
- prompt-engineerSkill
- migration-plannerSkill
- system-design-reviewerSkill
- tradeoff-analyzerSkill
- openapi-designerSkill
- rest-endpoint-scaffoldSkill
- cloud-resource-provisionerSkill
- index-advisorSkill
- migration-writerSkill
- query-optimizerSkill
- schema-designerSkill
- project-scaffolderSkill
- cd-deployment-builderSkill
- incident-runbook-builderSkill
- observability-instrumenterSkill
- release-automatorSkill
- changelog-generatorSkill
- doc-linterSkill
- doc-writerSkill
- client-perf-optimizerSkill
- component-scaffoldSkill
- code-review-coachSkill
- stakeholder-comms-writerSkill
- codebase-explorerSkill
- dependency-vuln-auditorSkill
- secret-scannerSkill
- security-headers-configurerSkill
- threat-modelerSkill
- coverage-gap-finderSkill
- load-test-designerSkill
- test-refactorerSkill
- unit-test-generatorSkill
The file
Files
CI Pipeline Generator
Use this to generate a CI pipeline that builds, tests, and validates a project on every change.
Tech profile — Technology: CI/CD · Language: any · Stack: any CI platform · Toolchain: any · Domain: devops (Platform-agnostic method; emits config for the project's CI platform.)
When to use this skill
- Adding CI to a project that has none.
- Standardizing the build → test → validate gate across repos.
- Setting up the quality gate the
release-pipelineworkflow relies on.
When NOT to use this skill
- Deployment/CD — use
devops/cd-deployment-builder. - Containerization — use
devops/dockerfile-author. - Infra provisioning — use
devops/iac-module-builder.
Prerequisites
- The project's language/build tooling and target CI platform (detected or stated).
Inputs
| Input | Required | Description |
project | yes | Repo/stack to add CI for |
ci_platform | no | Target CI system; inferred if omitted |
stages | no | Extra stages (lint, type-check, security scan) |
Instructions
- Detect stack + platform. Identify language, build/test tooling, and the CI platform (or use the stated one). Match existing conventions.
- Define the pipeline stages, fast-fail ordered: install → lint/format → type-check (if applicable) → test → build → validate.
- Wire the test stage to the project's tests — the suite produced by
testing/unit-test-generator— and fail the build on any test failure. - Add caching for dependencies/build artifacts to keep CI fast.
- Add a security step (e.g. dependency + secret scan) where available (/standards/security.md).
- Gate merges. Configure required status checks so red CI blocks merge
(
scripts/validate == CIprinciple). - Keep it reproducible. Pin tool versions; ensure the pipeline runs identically locally and in CI; document how to reproduce a failure.
Output
A CI configuration for the target platform: ordered fast-fail stages (lint → test → build → validate), dependency caching, an optional security scan, required-check merge gating, and pinned versions — plus a short note on running it locally.
Constraints & safety
- Fail on test failure — never allow green CI over failing tests.
- No secrets in config — use the platform's secret store (/standards/security.md).
- Reproducible — pinned versions; local run matches CI.
Examples
Minimal below; full examples in EXAMPLES.md.
Given: a project with a unit-test suite, targeting a CI platform. Produces: a pipeline that installs deps (cached), lints, runs the tests (build fails on failure), builds, and is set as a required check on the default branch.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
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.

