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Ci Cd Pipelines

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rohitg00
ci-cd-pipelines

CI/CD pipeline patterns for GitHub Actions, GitLab CI, testing strategies, and deployment automation

Overview

Publisherrohitg00
Repositoryawesome-claude-code-toolkit
Skill nameci-cd-pipelines
Stars
2.6K
Forks
963
Bundled files
Instructions only
LicenseApache-2.0
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 rohitg00 on GitHub. Read the source before you install it.

Installation

Install the Ci Cd Pipelines 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/rohitg00/awesome-claude-code-toolkit.git /tmp/awesome-claude-code-toolkit
mkdir -p .claude/skills
cp -r /tmp/awesome-claude-code-toolkit/skills/ci-cd-pipelines .claude/skills/ci-cd-pipelines
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ci Cd Pipelines 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 Ci Cd Pipelines 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 Ci Cd Pipelines 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 Pipelines

GitHub Actions Workflow

yaml
name: CI
on:
  push:
    branches: [main]
  pull_request:
    branches: [main]

concurrency:
  group: ${{ github.workflow }}-${{ github.ref }}
  cancel-in-progress: true

jobs:
  lint:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - uses: actions/setup-node@v4
        with:
          node-version: 22
          cache: npm
      - run: npm ci
      - run: npm run lint
      - run: npm run typecheck

  test:
    runs-on: ubuntu-latest
    needs: lint
    services:
      postgres:
        image: postgres:16
        env:
          POSTGRES_DB: test
          POSTGRES_USER: test
          POSTGRES_PASSWORD: test
        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-node@v4
        with:
          node-version: 22
          cache: npm
      - run: npm ci
      - run: npm test -- --coverage
        env:
          DATABASE_URL: postgres://test:test@localhost:5432/test
      - uses: codecov/codecov-action@v4

  deploy:
    runs-on: ubuntu-latest
    needs: test
    if: github.ref == 'refs/heads/main'
    environment: production
    steps:
      - uses: actions/checkout@v4
      - run: ./scripts/deploy.sh

Use concurrency to cancel stale runs. Use needs to define job dependencies.

GitLab CI Pipeline

yaml
stages:
  - validate
  - test
  - build
  - deploy

variables:
  NODE_IMAGE: node:22-alpine

lint:
  stage: validate
  image: $NODE_IMAGE
  cache:
    key: $CI_COMMIT_REF_SLUG
    paths: [node_modules/]
  script:
    - npm ci
    - npm run lint
    - npm run typecheck

test:
  stage: test
  image: $NODE_IMAGE
  services:
    - postgres:16
  variables:
    POSTGRES_DB: test
    DATABASE_URL: postgres://runner:@postgres:5432/test
  script:
    - npm ci
    - npm test -- --coverage
  coverage: '/Statements\s*:\s*(\d+\.?\d*)%/'
  artifacts:
    reports:
      junit: coverage/junit.xml
      coverage_report:
        coverage_format: cobertura
        path: coverage/cobertura.xml

build:
  stage: build
  image: docker:24
  services: [docker:24-dind]
  script:
    - 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
  environment:
    name: production
    url: https://app.example.com
  script:
    - ./deploy.sh $CI_COMMIT_SHA
  rules:
    - if: $CI_COMMIT_BRANCH == "main"
      when: manual

Reusable GitHub Action

yaml
# .github/actions/setup/action.yml
name: Setup
description: Install dependencies and cache
inputs:
  node-version:
    default: "22"
runs:
  using: composite
  steps:
    - uses: actions/setup-node@v4
      with:
        node-version: ${{ inputs.node-version }}
        cache: npm
    - run: npm ci
      shell: bash
yaml
# Usage in workflow
steps:
  - uses: actions/checkout@v4
  - uses: ./.github/actions/setup
  - run: npm test

Matrix Strategy

yaml
test:
  strategy:
    fail-fast: false
    matrix:
      node: [20, 22]
      os: [ubuntu-latest, macos-latest]
  runs-on: ${{ matrix.os }}
  steps:
    - uses: actions/checkout@v4
    - uses: actions/setup-node@v4
      with:
        node-version: ${{ matrix.node }}
    - run: npm ci && npm test

Anti-Patterns

  • Not caching dependencies (npm, pip, cargo) between runs
  • Running all jobs sequentially when lint and test can parallelize
  • Storing secrets in workflow files instead of repository/environment secrets
  • Missing concurrency groups causing redundant CI runs on rapid pushes
  • Not using fail-fast: false in matrix builds (one failure cancels others)
  • Deploying without an approval gate or environment protection rule

Checklist

  • Dependencies cached between CI runs
  • Concurrency groups cancel stale pipeline runs
  • Lint, typecheck, and test run as separate parallelizable jobs
  • Database services use health checks before tests start
  • Coverage reports uploaded and tracked
  • Deploy job requires approval for production
  • Reusable actions/templates extract common setup steps
  • Secrets stored in CI platform, never in code

Frequently asked questions

What does the Ci Cd Pipelines AI skill do?

CI/CD pipeline patterns for GitHub Actions, GitLab CI, testing strategies, and deployment automation

Why use Ci Cd Pipelines on TypingMind?

Because you install it once and use it with any model. Ci Cd Pipelines 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 Ci Cd Pipelines in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/rohitg00/awesome-claude-code-toolkit/tree/main/skills/ci-cd-pipelines. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Ci Cd Pipelines?

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 Ci Cd Pipelines?

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

Is the Ci Cd Pipelines AI skill free?

Yes. It is published on GitHub by rohitg00 under the Apache-2.0 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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