Engineering Advanced CI/CDGitHub ActionsGitLab

CI/CD Pipeline Builder

Analyze stack and generate GitHub Actions or GitLab CI configs.

$skillfish add ~skills/ci-cd-pipeline-builder

Real Conversations

See how the CI/CD Pipeline Builder skill responds to actual requests. These are representative examples of what your AI agent will produce.

You

New Next.js 14 + TypeScript project using pnpm and Prisma, deploying to Vercel. We have no CI at all. Generate a GitHub Actions pipeline.

Agent

This skill includes executable scripts — I'll need your permission before running them.

The detection script:

python3 scripts/stack_detector.py --repo . --format json

Detected: Node.js 20, pnpm (lockfile signal), TypeScript, Next.js 14, Prisma, Vercel

Generated pipeline:

# .github/workflows/ci.yml
name: CI
on:
  push: {branches: [main]}
  pull_request: {branches: [main]}

jobs:
  ci:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4

      - uses: pnpm/action-setup@v3
        with: {version: 9}

      - uses: actions/setup-node@v4
        with:
          node-version: 20
          cache: pnpm

      - run: pnpm install --frozen-lockfile
      - run: pnpm lint
      - run: pnpm typecheck
      - run: pnpm test --passWithNoTests
      - run: pnpm build
        env:
          DATABASE_URL: ${{ secrets.DATABASE_URL_CI }}

  deploy-preview:
    needs: ci
    if: github.event_name == 'pull_request'
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - uses: amondnet/vercel-action@v25
        with:
          vercel-token: ${{ secrets.VERCEL_TOKEN }}
          vercel-org-id: ${{ secrets.VERCEL_ORG_ID }}
          vercel-project-id: ${{ secrets.VERCEL_PROJECT_ID }}

Required GitHub secrets: DATABASE_URL_CI, VERCEL_TOKEN, VERCEL_ORG_ID, VERCEL_PROJECT_ID

Want me to add Prisma migration validation and a production deploy gate gated behind main branch protection?

Get Started

How to install and use this skill in your preferred environment.

Skills are designed for AI coding agents (Claude Code, Cursor, Windsurf) and IDE-based workflows where the agent can read files, run scripts, and act on your codebase. Web-based AI can use the knowledge and frameworks, but won't have tool access.

Models & Context

Which AI models and context windows work best with this skill.

Recommended Models

Best
Claude Opus 4 Claude Sonnet 4 GPT-4.1 Gemini 2.5 Pro Grok 3 Kimi K2
Good
Claude Haiku 4.5 GPT-4.1 mini Gemini 2.5 Flash Grok 3 mini

Larger models produce more detailed, production-ready outputs.

Context Window

This skill's SKILL.md is typically 3–10 KB — fits in any modern context window.

8K Skill only
32K+ Skill + conversation
100K+ Skill + references + codebase

All current frontier models (Claude, GPT, Gemini) support 100K+ context. Use the full window for complex multi-service work.

Pro tips for best results

1

Be specific

Include numbers — users, budget, RPS — so the skill can size the architecture.

2

Share constraints

Compliance needs, team size, and existing stack all improve the output.

3

Iterate

Start with a high-level design, then ask follow-ups for IaC, cost analysis, or security review.

4

Combine skills

Pair with companion skills below for end-to-end coverage.

Ready to try CI/CD Pipeline Builder?

Install the skill and start getting expert-level guidance in your workflow — any agent, any IDE.

$skillfish add ~skills/ci-cd-pipeline-builder
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