Agent Skills

ci-cd-pipeline-builder

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.

Install

npx skills add https://github.com/alirezarezvani/claude-skills --skill ci-cd-pipeline-builder
SKILL.md

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

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