ci-cd-pipeline-builder
About ci-cd-pipeline-builder
A skill for engineering teams that detects a repository’s stack from its files and generates a CI/CD pipeline suited to the project. It supports GitHub Actions and GitLab CI and can emit detection results for automation.
Key features
- 01Detect languages and tooling from repository files
- 02Recommend lint, test, build, and deploy stages
- 03Generate GitHub Actions or GitLab CI configuration
- 04Support caching and matrix strategies
- 05Emit machine-readable detection results
Use cases
- 01Bootstrap CI for a new repository
- 02Migrate between GitHub Actions and GitLab CI
- 03Check whether pipeline steps match the project stack
- 04Create a reproducible baseline before deployment
Install
Copy the command and run it in a terminal.
npx skills add https:/ / github.com/ alirezarezvani/ claude-skills --skill ci-cd-pipeline-builderAfter installing, type/ci-cd-pipeline-builderin Claude Code to confirm it loaded.
Bundled files
References and scripts installed along with SKILL.md.
README.mdreferences/deployment-gates.mdgithub-actions-templates.mdgitlab-ci-templates.mdpipeline-design-notes.mdscripts/pipeline_generator.pystack_detector.pyDetails
From the project READMECI/CD Pipeline Builder
Tier: POWERFUL
Category: Engineering
Domain: DevOps / Automation
Overview
Use this skill to generate pragmatic CI/CD pipelines from detected project stack signals, not guesswork. It focuses on fast baseline generation, repeatable checks, and environment-aware deployment stages.
Core Capabilities
- Detect language/runtime/tooling from repository files
- Recommend CI stages (
lint,test,build,deploy) - Generate GitHub Actions or GitLab CI starter pipelines
- Include caching and matrix strategy based on detected stack
- Emit machine-readable detection output for automation
- Keep pipeline logic aligned with project lockfiles and build commands
When to Use
- Bootstrapping CI for a new repository
- Replacing brittle copied pipeline files
- Migrating between GitHub Actions and GitLab CI
- Auditing whether pipeline steps match actual stack
- Creating a reproducible baseline before custom hardening
Key Workflows
1. Detect Stack
python3 scripts/stack_detector.py --repo . --format text
python3 scripts/stack_detector.py --repo . --format json > detected-stack.json
Supports input via stdin or --input file for offline analysis payloads.
2. Generate Pipeline From Detection
python3 scripts/pipeline_generator.py \
--input detected-stack.json \
--platform github \
--output .github/workflows/ci.yml \
--format text
Or end-to-end from repo directly:
python3 scripts/pipeline_generator.py --repo . --platform gitlab --output .gitlab-ci.yml
3. Validate Before Merge
- Confirm commands exist in project (
test,lint,build). - Run generated pipeline locally where possible.
- Ensure required secrets/env vars are documented.
- Keep deploy jobs gated by protected branches/environments.
4. Add Deployment Stages Safely
- Start with CI-only (
lint/test/build). - Add staging deploy with explicit environment context.
- Add production deploy with manual gate/approval.
- Keep rollout/rollback commands explicit and auditable.
Script Interfaces
python3 scripts/stack_detector.py --help- Detects stack signals from repository files
- Reads optional JSON input from stdin/
--input
python3 scripts/pipeline_generator.py --help- Generates GitHub/GitLab YAML from detection payload
- Writes to stdout or
--output
References
- references/pipeline-design-notes.md — common pitfalls, best practices, detection heuristics, generation strategy, platform decision notes, pre-merge validation checklist, and scaling guidance
- references/github-actions-templates.md
- references/gitlab-ci-templates.md
- references/deployment-gates.md
- README.md