github-actions-templates

sickn33/antigravity-awesome-skills · updated Apr 8, 2026

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$npx skills add https://github.com/sickn33/antigravity-awesome-skills --skill github-actions-templates
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summary

Production-ready GitHub Actions workflow patterns for testing, building, and deploying applications.

skill.md

GitHub Actions Templates

Production-ready GitHub Actions workflow patterns for testing, building, and deploying applications.

Do not use this skill when

  • The task is unrelated to github actions templates
  • You need a different domain or tool outside this scope

Instructions

  • Clarify goals, constraints, and required inputs.
  • Apply relevant best practices and validate outcomes.
  • Provide actionable steps and verification.
  • If detailed examples are required, open resources/implementation-playbook.md.

Purpose

Create efficient, secure GitHub Actions workflows for continuous integration and deployment across various tech stacks.

Use this skill when

  • Automate testing and deployment
  • Build Docker images and push to registries
  • Deploy to Kubernetes clusters
  • Run security scans
  • Implement matrix builds for multiple environments

Common Workflow Patterns

Pattern 1: Test Workflow

name: Test

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

jobs:
  test:
    runs-on: ubuntu-latest

    strategy:
      matrix:
        node-version: [18.x, 20.x]

    steps:
    - uses: actions/checkout@v4

    - name: Use Node.js ${{ matrix.node-version }}
      uses: actions/setup-node@v4
      with:
        node-version: ${{ matrix.node-version }}
        cache: 'npm'

    - name: Install dependencies
      run: npm ci

    - name: Run linter
      run: npm run lint

    - name: Run tests
      run: npm test

    - name: Upload coverage
      uses: codecov/codecov-action@v3
      with:
        files: ./coverage/lcov.info

Reference: See assets/test-workflow.yml

Pattern 2: Build and Push Docker Image

name: Build and Push

on:
  push:
    branches: [ main ]
    tags: [ 'v*' ]

env:
  REGISTRY: ghcr.io
  IMAGE_NAME: ${{ github.repository }}

jobs:
  build:
    runs-on: ubuntu-latest
    permissions:
      contents: read
      packages: write

    steps:
    - uses: actions/checkout@v4

    - name: Log in to Container Registry
      uses: docker/login-action@v3
      with:
        registry: ${{ env.REGISTRY }}
        username: ${{ github.actor }}
        password: ${{ secrets.GITHUB_TOKEN }}

    - name: Extract metadata
      id: meta
      uses: docker/metadata-action@v5
      with:
        images: ${{ env.REGISTRY }}/${{ env.IMAGE_NAME }}
        tags: |
          type=ref,event=branch
          type=ref,event=pr
          type=semver,pattern={{version}}
          type=semver,pattern={{major}}.{{minor}}

    - name: Build and push
      uses: docker/build-push-action@v5
      with:
        context: .
        push: true
        tags: ${{ steps.meta.outputs.tags }}
        labels: ${{ steps.meta.outputs.labels }}
        cache-from: type=gha
        cache-to: type=gha,mode=max

Reference: See assets/deploy-workflow.yml

Pattern 3: Deploy to Kubernetes

name: Deploy to Kubernetes

on:
  push:
    branches: [ main ]

jobs:
  deploy:
    runs-on: ubuntu-latest

    steps:
    - uses: actions/checkout@v4

    - name: Configure AWS credentials
      uses: aws-actions/configure-aws-credentials@v4
      with:
        aws-access-key-id: ${{ secrets.AWS_ACCESS_KEY_ID }}
        aws-secret-access-key: ${{ secrets.AWS_SECRET_ACCESS_KEY }}
        aws-region: us-west-2

    - name: Update kubeconfig
      run: |
        aws eks update-kubeconfig --name production-cluster --region us-west-2

    - name: Deploy to Kubernetes
      run: |
        kubectl apply -f k8s/
        kubectl rollout status deployment/my-app -n production
        kubectl get services -n production

    - name: Verify deployment
      run: |
        kubectl get pods -n production
        kubectl describe deployment my-app -n production

Pattern 4: Matrix Build

name: Matrix Build

on: [push, pull_request]

jobs:
  build:
    runs-on: ${{ matrix.os }}

    strategy:
      matrix:
        os: [ubuntu-latest, macos-latest, windows-latest]
        python-version: ['3.9', '3.10', '3.11', '3.12']

    steps:
    - uses: actions/checkout@v4

    - name: Set up Python
      uses: actions/setup-python@v5
      with:
        python-version: ${{ matrix.python-version }}

    - name: Install dependencies
      run: |
        python -m pip install --upgrade pip
        pip install -r requirements.txt

    - name: Run tests
      run: pytest

Reference: See assets/matrix-build.yml

Workflow Best Practices

  1. Use specific action versions (@v4, not @latest)
  2. Cache dependencies to speed up builds
  3. Use secrets for sensitive data
  4. Implement status checks on PRs
  5. <
how to use github-actions-templates

How to use github-actions-templates on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add github-actions-templates
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/sickn33/antigravity-awesome-skills --skill github-actions-templates

The skills CLI fetches github-actions-templates from GitHub repository sickn33/antigravity-awesome-skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/github-actions-templates

Reload or restart Cursor to activate github-actions-templates. Access the skill through slash commands (e.g., /github-actions-templates) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

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Use Cases

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

Save 3-5 hours/week on communication overhead

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client
  • Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • Not validating competitive research—verify facts before sharing
  • Accepting user stories without involving engineering team
  • Over-relying on frameworks without qualitative judgment
  • Not customizing outputs to company culture and communication style
  • Skipping stakeholder validation of generated requirements

Best Practices

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • Don't publish competitive analysis without fact-checking
  • Don't finalize user stories without engineering review
  • Don't make prioritization decisions solely on AI scoring
  • Don't skip customer validation of generated requirements
  • Don't ignore company-specific context and culture

💡 Pro Tips

  • Provide context: company goals, constraints, customer feedback
  • Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • Use skill for 70% generation + 30% customization to company needs

When to Use This

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.525 reviews
  • Diego Harris· Dec 16, 2024

    Keeps context tight: github-actions-templates is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Dhruvi Jain· Dec 12, 2024

    github-actions-templates is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Nia Khan· Nov 7, 2024

    github-actions-templates is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Oshnikdeep· Nov 3, 2024

    Keeps context tight: github-actions-templates is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Anaya Bansal· Oct 26, 2024

    Useful defaults in github-actions-templates — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Ganesh Mohane· Oct 22, 2024

    github-actions-templates has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Rahul Santra· Sep 5, 2024

    github-actions-templates reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Min Wang· Sep 5, 2024

    Registry listing for github-actions-templates matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Sakshi Patil· Sep 1, 2024

    Solid pick for teams standardizing on skills: github-actions-templates is focused, and the summary matches what you get after install.

  • Pratham Ware· Aug 24, 2024

    I recommend github-actions-templates for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

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