github-actions

bobmatnyc/claude-mpm-skills · updated Apr 8, 2026

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$npx skills add https://github.com/bobmatnyc/claude-mpm-skills --skill github-actions
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summary

GitHub Actions is GitHub's native CI/CD platform for automating software workflows. Define workflows in YAML files to build, test, and deploy code directly from your repository with event-driven automation.

skill.md

GitHub Actions CI/CD

Summary

GitHub Actions is GitHub's native CI/CD platform for automating software workflows. Define workflows in YAML files to build, test, and deploy code directly from your repository with event-driven automation.

When to Use

  • Automate testing on every pull request
  • Build and deploy applications on merge to main
  • Schedule regular tasks (nightly builds, backups)
  • Publish packages to registries (npm, PyPI, Docker Hub)
  • Run security scans and code quality checks
  • Automate release processes and changelog generation

Quick Start

Basic Test Workflow

Create .github/workflows/test.yml:

name: Test

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

jobs:
  test:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - uses: actions/setup-node@v4
        with:
          node-version: '20'
      - run: npm ci
      - run: npm test

Complete GitHub Actions Guide

Core Concepts

Workflows

YAML files in .github/workflows/ that define automation pipelines.

Structure:

  • Name: Workflow identifier
  • Triggers: Events that start the workflow
  • Jobs: One or more jobs to execute
  • Steps: Commands/actions within each job
name: CI Pipeline
on: [push, pull_request]
jobs:
  build:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - run: echo "Building project"

Jobs

Independent execution units that run in parallel by default.

jobs:
  lint:
    runs-on: ubuntu-latest
    steps:
      - run: npm run lint

  test:
    runs-on: ubuntu-latest
    needs: lint  # Wait for lint to complete
    steps:
      - run: npm test

  deploy:
    runs-on: ubuntu-latest
    needs: [lint, test]  # Wait for both
    steps:
      - run: ./deploy.sh

Steps

Sequential commands or actions within a job.

steps:
  # Use pre-built action
  - uses: actions/checkout@v4

  # Run shell command
  - run: npm install

  # Named step with environment
  - name: Run tests
    run: npm test
    env:
      NODE_ENV: test

Actions

Reusable units of code (from marketplace or custom).

# Official action
- uses: actions/checkout@v4

# Third-party action
- uses: docker/build-push-action@v5
  with:
    context: .
    push: true
    tags: user/app:latest

# Local action
- uses: ./.github/actions/custom-action

Workflow Syntax

Triggers (on)

Push Events

on:
  push:
    branches:
      - main
      - 'releases/**'  # Wildcard pattern
    tags:
      - 'v*'  # All version tags
    paths:
      - 'src/**'
      - '!src/docs/**'  # Exclude docs

Pull Request Events

on:
  pull_request:
    types: [opened, synchronize, reopened]
    branches: [main, develop]
    paths-ignore:
      - '**.md'
      - 'docs/**'

Schedule (Cron)

on:
  schedule:
    # Every day at 2:30 AM UTC
    - cron: '30 2 * * *'
    # Every Monday at 9:00 AM UTC
    - cron: '0 9 * * 1'

Manual Trigger

on:
  workflow_dispatch:
    inputs:
      environment:
        description: 'Deployment environment'
        required: true
        type: choice
        options:
          - staging
          - production
      version:
        description: 'Version to deploy'
        required: false
        default: 'latest'

Multiple Triggers

on:
  push:
    branches: [main]
  pull_request:
    branches: [main]
  schedule:
    - cron: '0 0 * * 0'  # Weekly
  workflow_dispatch:  # Manual

Environment Variables

Workflow-level

env:
  NODE_ENV: production
  API_URL: https://api.example.com

jobs:
  build:
    runs-on: ubuntu-latest
    steps:
      - run: echo $NODE_ENV

Job-level

jobs:
  test:
    runs-on: ubuntu-latest
    env:
      TEST_DATABASE: test_db
    steps:
      - run: pytest

Step-level

steps:
  - name: Build
    run: npm run build
    env:
      BUILD_TARGET: production

Secrets

Store sensitive data in repository settings.

steps:
  - name: Deploy
    run: ./deploy.sh
    env:
      API_KEY: ${{ secrets.API_KEY }}
      DATABASE_URL: ${{ secrets.DATABASE_URL }}

Best Practices:

  • Never commit secrets to code
  • Use GitHub encrypted secrets
  • Limit secret access to specific environments
  • Rotate secrets regularly

Contexts

github Context

Repository and workflow information.

steps:
  - name: Print context
    run: |
      echo "Repository: ${{ github.repository }}"
      echo "Ref: ${{ github.ref }}"
      echo "SHA: ${{ github.sha }}"
      echo "Actor: ${{ github.actor }}"
      echo "Event: ${{ github.event_name }}"
      echo "Branch:
how to use github-actions

How to use github-actions 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
2

Execute installation command

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

$npx skills add https://github.com/bobmatnyc/claude-mpm-skills --skill github-actions

The skills CLI fetches github-actions from GitHub repository bobmatnyc/claude-mpm-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

Reload or restart Cursor to activate github-actions. Access the skill through slash commands (e.g., /github-actions) 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.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

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

4.628 reviews
  • Ganesh Mohane· Dec 28, 2024

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

  • Diya Harris· Dec 28, 2024

    github-actions fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Shikha Mishra· Dec 24, 2024

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

  • Ira Jackson· Dec 12, 2024

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

  • Sakshi Patil· Nov 19, 2024

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

  • Mateo Gonzalez· Nov 19, 2024

    We added github-actions from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Isabella Zhang· Nov 3, 2024

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

  • Omar Liu· Oct 22, 2024

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

  • Chaitanya Patil· Oct 10, 2024

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

  • Diya Singh· Oct 10, 2024

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

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