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ci-cd-pipeline-builder

Inspect project files to identify languages and build tools, then generate starter GitHub Actions or GitLab CI workflows. Set up automated checks, caching, and deployment stages that reflect the project’s commands and target environments.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

원문원문 설명 보기

Generate pragmatic CI/CD pipelines from detected project stack signals — fast baseline generation, repeatable checks, environment-aware deployment stages. Use when setting up CI for a new project, refactoring existing pipelines, or standardizing deployment workflows across multiple repos.

alirezarezvani/claude-skills
연동 도구GitHubGitLab
설치 방법 보기

이럴 때 유용합니다

  • Setting up automated checks for a new project
  • Reworking fragile pipeline configuration
  • Moving between GitHub Actions and GitLab CI
  • Standardizing deployment workflows across projects

포함된 파일(8)

  • SKILL.md3.2 KB
  • README.md1.1 KB
  • references/deployment-gates.md429 B
  • references/github-actions-templates.md758 B
  • references/gitlab-ci-templates.md476 B
  • references/pipeline-design-notes.md2.2 KB
  • scripts/pipeline_generator.py10.7 KB
  • scripts/stack_detector.py6.3 KB

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

CI/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

  1. Confirm commands exist in project (test, lint, build).
  2. Run generated pipeline locally where possible.
  3. Ensure required secrets/env vars are documented.
  4. 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

리뷰

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