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Pipeline Blueprint

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zebbern
pipeline-blueprint

Provide CI/CD best practices and pipeline templates for GitHub Actions and GitLab CI, recommending configurations based on project type (frontend, backend, fullstack, library, monorepo, mobile). Trigger when users ask about setting up CI/CD, automating builds, improving pipelines, or mention keywords like GitHub Actions, GitLab CI, pipeline templates, or deployment automation.

Overview

Publisherzebbern
Repositoryclaude-code-guide
Skill namepipeline-blueprint
Stars
4.6K
Forks
464
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by zebbern on GitHub. Read the source before you install it.

Installation

Install the Pipeline Blueprint AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/zebbern/claude-code-guide.git /tmp/claude-code-guide
mkdir -p .claude/skills
cp -r /tmp/claude-code-guide/skills/pipeline-blueprint .claude/skills/pipeline-blueprint
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Pipeline Blueprint in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Pipeline Blueprint on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Pipeline Blueprint is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

CI/CD Configuration Best Practices

This skill provides CI/CD pipeline templates and best practices for GitHub Actions and GitLab CI. It recommends configurations based on project type, helping teams quickly set up reliable, secure, and efficient pipelines.

How to Use

When a user describes their project (language, framework, deployment target), recommend the most appropriate pipeline template below. Adapt stages, caching strategies, and deployment steps to match their stack.


General Best Practices

Pipeline Design Principles

  1. Fail fast: Run linting and unit tests before expensive integration or E2E tests.
  2. Cache aggressively: Cache dependency directories (node_modules, .pip_cache, .m2, .gradle) to speed up builds.
  3. Pin versions: Pin CI runner images, tool versions, and action versions to SHA or exact tags — never use latest.
  4. Least privilege: Use minimal permissions for tokens and credentials. Prefer OIDC over long-lived secrets where supported.
  5. Parallelize: Split test suites across parallel jobs. Use matrix builds for multi-version testing.
  6. Immutable artifacts: Build once, promote the same artifact through staging → production.
  7. Branch protection: Require CI to pass before merging. Use status checks on the default branch.

Security Checklist

  • Never hardcode secrets in pipeline files; use the platform's secret management (GitHub Secrets / GitLab CI Variables).
  • Audit third-party actions/images before use. Prefer official or verified sources.
  • Enable dependency scanning (Dependabot, GitLab Dependency Scanning) and SAST where possible.
  • Restrict who can trigger production deployments.
  • Rotate secrets on a regular cadence.

Project Type Templates

1. Frontend (React / Vue / Angular / Static Sites)

Key stages: Install → Lint → Test → Build → Deploy

GitHub Actions
yaml
name: Frontend CI/CD

on:
  push:
    branches: [main]
  pull_request:
    branches: [main]

permissions:
  contents: read

jobs:
  ci:
    runs-on: ubuntu-22.04
    steps:
      - uses: actions/checkout@v4

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

      - run: npm ci

      - run: npm run lint

      - run: npm test -- --coverage

      - run: npm run build

      - uses: actions/upload-artifact@v4
        with:
          name: dist
          path: dist/

  deploy:
    needs: ci
    if: github.ref == 'refs/heads/main' && github.event_name == 'push'
    runs-on: ubuntu-22.04
    environment: production
    steps:
      - uses: actions/download-artifact@v4
        with:
          name: dist
          path: dist/

      # Replace with your deployment step (e.g., S3 sync, Cloudflare Pages, Vercel)
      - name: Deploy
        run: echo "Add your deployment command here"
GitLab CI
yaml
stages:
  - install
  - lint
  - test
  - build
  - deploy

default:
  image: node:20-slim
  cache:
    key: ${CI_COMMIT_REF_SLUG}
    paths:
      - node_modules/

install:
  stage: install
  script:
    - npm ci

lint:
  stage: lint
  script:
    - npm run lint

test:
  stage: test
  script:
    - npm test -- --coverage
  artifacts:
    reports:
      coverage_report:
        coverage_format: cobertura
        path: coverage/cobertura-coverage.xml

build:
  stage: build
  script:
    - npm run build
  artifacts:
    paths:
      - dist/

deploy:
  stage: deploy
  script:
    - echo "Add your deployment command here"
  environment:
    name: production
  rules:
    - if: $CI_COMMIT_BRANCH == "main"
      when: on_success

2. Backend (Node.js / Python / Go / Java)

Key stages: Install → Lint → Test → Build → Docker Build → Deploy

GitHub Actions (Python example)
yaml
name: Backend CI/CD

on:
  push:
    branches: [main]
  pull_request:
    branches: [main]

permissions:
  contents: read
  packages: write

jobs:
  ci:
    runs-on: ubuntu-22.04
    services:
      postgres:
        image: postgres:16
        env:
          POSTGRES_USER: test
          POSTGRES_PASSWORD: test
          POSTGRES_DB: testdb
        ports:
          - 5432:5432
        options: >-
          --health-cmd pg_isready
          --health-interval 10s
          --health-timeout 5s
          --health-retries 5

    steps:
      - uses: actions/checkout@v4

      - uses: actions/setup-python@v5
        with:
          python-version: "3.12"
          cache: pip

      - run: pip install -r requirements.txt

      - run: ruff check .

      - run: pytest --cov --cov-report=xml
        env:
          DATABASE_URL: postgresql://test:test@localhost:5432/testdb

  docker:
    needs: ci
    if: github.ref == 'refs/heads/main' && github.event_name == 'push'
    runs-on: ubuntu-22.04
    steps:
      - uses: actions/checkout@v4

      - uses: docker/setup-buildx-action@v3

      - uses: docker/login-action@v3
        with:
          registry: ghcr.io
          username: ${{ github.actor }}
          password: ${{ secrets.GITHUB_TOKEN }}

      - uses: docker/build-push-action@v5
        with:
          context: .
          push: true
          tags: ghcr.io/${{ github.repository }}:${{ github.sha }}
          cache-from: type=gha
          cache-to: type=gha,mode=max
GitLab CI (Python example)
yaml
stages:
  - test
  - build
  - deploy

variables:
  PIP_CACHE_DIR: "$CI_PROJECT_DIR/.pip_cache"

default:
  image: python:3.12-slim

test:
  stage: test
  services:
    - postgres:16
  variables:
    POSTGRES_USER: test
    POSTGRES_PASSWORD: test
    POSTGRES_DB: testdb
    DATABASE_URL: postgresql://test:test@postgres:5432/testdb
  cache:
    key: pip
    paths:
      - .pip_cache/
  script:
    - pip install -r requirements.txt
    - ruff check .
    - pytest --cov --cov-report=xml
  artifacts:
    reports:
      coverage_report:
        coverage_format: cobertura
        path: coverage.xml

build-image:
  stage: build
  image: docker:24
  services:
    - docker:24-dind
  variables:
    DOCKER_TLS_CERTDIR: "/certs"
  script:
    - docker login -u $CI_REGISTRY_USER -p $CI_REGISTRY_PASSWORD $CI_REGISTRY
    - docker build -t $CI_REGISTRY_IMAGE:$CI_COMMIT_SHA .
    - docker push $CI_REGISTRY_IMAGE:$CI_COMMIT_SHA
  rules:
    - if: $CI_COMMIT_BRANCH == "main"

deploy:
  stage: deploy
  script:
    - echo "Add your deployment command here"
  environment:
    name: production
  rules:
    - if: $CI_COMMIT_BRANCH == "main"
      when: manual

3. Library / Package (npm / PyPI / Maven)

Key stages: Lint → Test (matrix) → Build → Publish

GitHub Actions (npm library example)
yaml
name: Library CI/CD

on:
  push:
    branches: [main]
    tags: ["v*"]
  pull_request:
    branches: [main]

permissions:
  contents: read
  id-token: write

jobs:
  test:
    runs-on: ubuntu-22.04
    strategy:
      matrix:
        node-version: [18, 20, 22]
    steps:
      - uses: actions/checkout@v4

      - uses: actions/setup-node@v4
        with:
          node-version: ${{ matrix.node-version }}
          cache: npm

      - run: npm ci
      - run: npm run lint
      - run: npm test

  publish:
    needs: test
    if: startsWith(github.ref, 'refs/tags/v')
    runs-on: ubuntu-22.04
    steps:
      - uses: actions/checkout@v4

      - uses: actions/setup-node@v4
        with:
          node-version: 20
          registry-url: https://registry.npmjs.org
          cache: npm

      - run: npm ci
      - run: npm run build
      - run: npm publish --provenance --access public
        env:
          NODE_AUTH_TOKEN: ${{ secrets.NPM_TOKEN }}
GitLab CI (PyPI library example)
yaml
stages:
  - test
  - publish

test:
  stage: test
  image: python:${PYTHON_VERSION}-slim
  parallel:
    matrix:
      - PYTHON_VERSION: ["3.10", "3.11", "3.12"]
  script:
    - pip install -e ".[dev]"
    - ruff check .
    - pytest

publish:
  stage: publish
  image: python:3.12-slim
  script:
    - pip install build twine
    - python -m build
    - twine upload dist/*
  variables:
    TWINE_USERNAME: __token__
    TWINE_PASSWORD: $PYPI_TOKEN
  rules:
    - if: $CI_COMMIT_TAG =~ /^v/

4. Fullstack (Frontend + Backend monorepo)

Key stages: Detect changes → Run affected pipelines → Integration test → Deploy

GitHub Actions
yaml
name: Fullstack CI/CD

on:
  push:
    branches: [main]
  pull_request:
    branches: [main]

permissions:
  contents: read

jobs:
  changes:
    runs-on: ubuntu-22.04
    outputs:
      frontend: ${{ steps.filter.outputs.frontend }}
      backend: ${{ steps.filter.outputs.backend }}
    steps:
      - uses: actions/checkout@v4
      - uses: dorny/paths-filter@v3
        id: filter
        with:
          filters: |
            frontend:
              - 'frontend/**'
            backend:
              - 'backend/**'

  frontend:
    needs: changes
    if: needs.changes.outputs.frontend == 'true'
    runs-on: ubuntu-22.04
    defaults:
      run:
        working-directory: frontend
    steps:
      - uses: actions/checkout@v4
      - uses: actions/setup-node@v4
        with:
          node-version: 20
          cache: npm
          cache-dependency-path: frontend/package-lock.json
      - run: npm ci
      - run: npm run lint
      - run: npm test
      - run: npm run build

  backend:
    needs: changes
    if: needs.changes.outputs.backend == 'true'
    runs-on: ubuntu-22.04
    defaults:
      run:
        working-directory: backend
    steps:
      - uses: actions/checkout@v4
      - uses: actions/setup-python@v5
        with:
          python-version: "3.12"
          cache: pip
          cache-dependency-path: backend/requirements.txt
      - run: pip install -r requirements.txt
      - run: ruff check .
      - run: pytest

  e2e:
    needs: [frontend, backend]
    if: always() && !cancelled() && !contains(needs.*.result, 'failure')
    runs-on: ubuntu-22.04
    steps:
      - uses: actions/checkout@v4
      - name: Run E2E tests
        run: echo "Add E2E test command (e.g., Playwright, Cypress)"

5. Monorepo (Turborepo / Nx / Lerna)

GitHub Actions (Turborepo example)
yaml
name: Monorepo CI

on:
  push:
    branches: [main]
  pull_request:
    branches: [main]

permissions:
  contents: read

jobs:
  ci:
    runs-on: ubuntu-22.04
    steps:
      - uses: actions/checkout@v4
        with:
          fetch-depth: 2

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

      - run: npm ci

      - run: npx turbo run lint test build --filter='...[HEAD^]'
        env:
          TURBO_TOKEN: ${{ secrets.TURBO_TOKEN }}
          TURBO_TEAM: ${{ vars.TURBO_TEAM }}

6. Mobile (React Native / Flutter)

GitHub Actions (React Native / Android example)
yaml
name: Mobile CI

on:
  push:
    branches: [main]
  pull_request:
    branches: [main]

permissions:
  contents: read

jobs:
  test:
    runs-on: ubuntu-22.04
    steps:
      - uses: actions/checkout@v4

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

      - run: npm ci
      - run: npm run lint
      - run: npm test

  android-build:
    needs: test
    runs-on: ubuntu-22.04
    steps:
      - uses: actions/checkout@v4

      - uses: actions/setup-java@v4
        with:
          distribution: temurin
          java-version: 17
          cache: gradle

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

      - run: npm ci

      - name: Build Android
        working-directory: android
        run: ./gradlew assembleRelease

      - uses: actions/upload-artifact@v4
        with:
          name: android-apk
          path: android/app/build/outputs/apk/release/*.apk

Advanced Patterns

Reusable Workflows (GitHub Actions)

Extract common CI logic into reusable workflows to reduce duplication across repositories:

yaml
# .github/workflows/reusable-node-ci.yml
name: Reusable Node CI

on:
  workflow_call:
    inputs:
      node-version:
        type: string
        default: "20"
      working-directory:
        type: string
        default: "."

jobs:
  ci:
    runs-on: ubuntu-22.04
    defaults:
      run:
        working-directory: ${{ inputs.working-directory }}
    steps:
      - uses: actions/checkout@v4
      - uses: actions/setup-node@v4
        with:
          node-version: ${{ inputs.node-version }}
          cache: npm
      - run: npm ci
      - run: npm run lint
      - run: npm test
      - run: npm run build

GitLab CI Include Templates

yaml
# Use shared templates to standardize pipelines across projects
include:
  - template: Security/SAST.gitlab-ci.yml
  - template: Security/Dependency-Scanning.gitlab-ci.yml
  - project: 'my-org/ci-templates'
    ref: main
    file: '/templates/node-ci.yml'

Environment Protection Rules

  • GitHub: Use environment protection rules with required reviewers for production deployments.
  • GitLab: Use when: manual with allow_failure: false for gated deployments.

Caching Strategy Summary

EcosystemCache KeyCache Path
Node (npm)package-lock.json~/.npm or node_modules/
Pythonrequirements.txt~/.cache/pip
Gogo.sum~/go/pkg/mod
Javabuild.gradle / pom.xml~/.gradle/caches / ~/.m2
RustCargo.lock~/.cargo and target/

Decision Guide: Which Template to Use

Your project looks like…Recommended template
Single-page app, static site, or SSR frontendFrontend
REST API, microservice, or server appBackend
npm/PyPI/Maven package for others to installLibrary
Frontend + backend in one repoFullstack
Multiple packages managed by Turborepo/Nx/LernaMonorepo
React Native or Flutter appMobile

Frequently asked questions

What does the Pipeline Blueprint AI skill do?

Provide CI/CD best practices and pipeline templates for GitHub Actions and GitLab CI, recommending configurations based on project type (frontend, backend, fullstack, library, monorepo, mobile). Trigger when users ask about setting up CI/CD, automating builds, improving pipelines, or mention keywords like GitHub Actions, GitLab CI, pipeline templates, or deployment automation.

Why use Pipeline Blueprint on TypingMind?

Because you install it once and use it with any model. Pipeline Blueprint is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Pipeline Blueprint in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/zebbern/claude-code-guide/tree/main/skills/pipeline-blueprint. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Pipeline Blueprint?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Pipeline Blueprint?

As many as you like. As long as a model supports skills, you can use Pipeline Blueprint with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Pipeline Blueprint AI skill free?

Yes. It is published on GitHub by zebbern under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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