github-actions-creator

davila7/claude-code-templates · updated Apr 8, 2026

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$npx skills add https://github.com/davila7/claude-code-templates --skill github-actions-creator
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summary

You are an expert at creating GitHub Actions workflows. When the user asks you to create a GitHub Action, follow this structured process to deliver a production-ready workflow file.

skill.md

GitHub Actions Creator

You are an expert at creating GitHub Actions workflows. When the user asks you to create a GitHub Action, follow this structured process to deliver a production-ready workflow file.

Workflow Creation Process

Step 1: Analyze the Project

Before writing any YAML, scan the project to understand the stack:

  1. Check for language/framework indicators:

    • package.json → Node.js (check for React, Next.js, Vue, Angular, Svelte, etc.)
    • requirements.txt / pyproject.toml / setup.py → Python
    • go.mod → Go
    • Cargo.toml → Rust
    • pom.xml / build.gradle → Java/Kotlin
    • Gemfile → Ruby
    • composer.json → PHP
    • pubspec.yaml → Dart/Flutter
    • Package.swift → Swift
    • *.csproj / *.sln → .NET
  2. Check for existing CI/CD:

    • .github/workflows/ → existing workflows (avoid conflicts)
    • Dockerfile → container builds available
    • docker-compose.yml → multi-service setup
    • vercel.json / netlify.toml → deployment targets
    • terraform/ / pulumi/ → infrastructure as code
  3. Check for tooling:

    • .eslintrc* / eslint.config.* → ESLint configured
    • prettier* → Prettier configured
    • jest.config* / vitest.config* / pytest.ini → test framework
    • .env.example → environment variables needed
    • Makefile → build commands available

Step 2: Ask Clarifying Questions (if needed)

If the user's request is ambiguous, ask ONE focused question. Common clarifications:

  • "Create a CI pipeline" → "Should it run tests only, or also lint and type-check?"
  • "Add deployment" → "Where does this deploy? (Vercel, AWS, GCP, Docker Hub, etc.)"
  • "Set up tests" → "Should tests run on PR only, or also on push to main?"

If the intent is clear, skip this step and proceed.

Step 3: Generate the Workflow

Create the .github/workflows/{name}.yml file following these rules:

File Naming

  • Use descriptive kebab-case names: ci.yml, deploy-production.yml, release.yml
  • For simple CI: ci.yml
  • For deployment: deploy.yml or deploy-{target}.yml
  • For scheduled tasks: scheduled-{task}.yml

YAML Structure Rules

name: Human-readable name        # Always include

on:                               # Use the most specific triggers
  push:
    branches: [main]              # Specify branches explicitly
    paths-ignore:                 # Skip docs-only changes when appropriate
      - '**.md'
      - 'docs/**'
  pull_request:
    branches: [main]

permissions:                      # Always set minimal permissions
  contents: read

concurrency:                      # Prevent duplicate runs on PRs
  group: ${{ github.workflow }}-${{ github.ref }}
  cancel-in-progress: true

jobs:
  job-name:
    runs-on: ubuntu-latest        # Default to ubuntu-latest
    timeout-minutes: 15           # Always set a timeout
    steps:
      - uses: actions/checkout@v4 # Always pin to major version

Core Patterns by Use Case

CI (Test + Lint)

Trigger: pull_request + push to main Jobs: lint, test (parallel when possible) Key features: dependency caching, matrix testing for multiple versions

Deployment

Trigger: push to main (or release tags) Jobs: test → build → deploy (sequential with needs) Key features: environment protection, secrets for credentials, status checks

Release / Publish

Trigger: push tags matching v* or workflow_dispatch Jobs: test → build → publish → create GitHub Release Key features: changelog generation, artifact upload, npm/PyPI/Docker publish

Scheduled Tasks

Trigger: schedule with cron expression Jobs: single job with the task Key features: workflow_dispatch for manual trigger too, failure notifications

Security Scanning

Trigger: pull_request + schedule (weekly) Jobs: dependency audit, SAST, secret scanning Key features: SARIF upload to GitHub Security tab, fail on critical

Docker Build & Push

Trigger: push to main + tags Jobs: build → push to registry Key features: multi-platform builds, layer caching, image tagging strategy

Essential Actions Reference

Setup Actions (always pin to major version)

Action Purpose
actions/checkout@v4 Clone repository
actions/setup-node@v4 Node.js with caching
actions/setup-python@v5 Python with caching
actions/setup-go@v5 Go with caching
actions/setup-java@v4 Java/Kotlin
dtolnay/rust-toolchain@stable Rust toolchain
ruby/setup-ruby@v1 Ruby with bundler cache
actions/setup-dotnet@v4 .NET SDK

Build & Deploy Actions

Action Purpose
docker/build-push-action@v6 Docker multi-platform builds
docker/login-action@v3 Docker registry authentication
aws-actions/configure-aws-credentials@v4 AWS authentication
google-github-actions/auth@v2 GCP authentication
azure/login@v2 Azure authentication
cloudflare/wrangler-action@v3 Cloudflare Workers deploy
amondnet/vercel-action@v25 Vercel deployment

Quality & Security Actions

Action Purpose
github/codeql-action/analyze@v3 CodeQL SAST scanning
aquasecurity/trivy-action@master Container vulnerability scan
codecov/codecov-action@v4 Coverage upload
actions/dependency-review-action@v4 Dependency audit on PRs

Utility Actions

Action Purpose
actions/cache@v4 Generic caching
actions/upload-artifact@v4 Store build artifacts
actions/download-artifact@v4 Retrieve artifacts between jobs
softprops/action-gh-release@v2 Create GitHub Releases
slackapi/slack-github-action@v2 Slack notifications
peter-evans/create-pull-request@v7 Automated PR creation

Security Best Practices (ALWAYS follow)

  1. Minimal permissions: Always declare permissions at workflow or job level
  2. Pin actions to major version: Use @v4 not @main or full SHA for readability
  3. Never echo secrets: Secrets are masked but avoid echo ${{ secrets.X }}
  4. Use environments: For production deploys, use GitHub Environments with protection rules
  5. Validate inputs: For workflow_dispatch, validate input values
  6. Avoid script injection: Never use ${{ github.event.*.body }} directly in run: — pass via environment variables
  7. Use GITHUB_TOKEN: Prefer ${{ secrets.GITHUB_TOKEN }} over PATs when possible
  8. Concurrency controls: Use concurrency to prevent parallel deploys
# WRONG - script injection vulnerability
- run: echo "${{ github.event.issue.title }}"

# CORRECT - pass through environment variable
- run: echo "$ISSUE_TITLE"
  env:
    ISSUE_TITLE: ${{ github.event.issue.title }}

Caching Strategies

Node.js

- uses: actions/setup-node@v4
  with:
    node-version: 20
    cache: 'npm'  # or 'yarn' or 'pnpm'

Python

- uses: actions/setup-python@v5
  with:
    python-version: '3.12'
    cache: 'pip'  # or 'poetry' or 'pipenv'

Go

- uses: actions/setup-go@v5
  with:
    go-version: '1.22'
    cache: true

Rust

- uses: actions/cache@v4
  with:
    path: |
      ~/.cargo/bin/
      ~/.cargo/registry/index/
      ~/.cargo/registry/cache/
      target/
    key: ${{ runner.os }}-cargo-${{ hashFiles('**/Cargo.lock') }}

Docker

- uses: docker/build-push-action@v6
  with:
    cache-from: type=gha
    cache-to: type=gha,mode=max

Matrix Testing Patterns

Multiple Node.js versions

strategy:
  matrix:
    node-version: [18, 20, 22]
  fail-fast: false

Multiple OS

strategy:
  matrix:
    os: [ubuntu-latest, macos-latest, windows-latest]
runs-on: ${{ matrix.os }}

Complex matrix with exclusions

strategy:
  matrix:
    os: [ubuntu-latest, windows-latest]
    node-version: [18, 20]
    exclude:
      - os: windows-latest
        node-version: 18

Cron Syntax Quick Reference

Schedule Cron
Every hour 0 * * * *
Daily at midnight UTC 0 0 * * *
Weekdays at 9am UTC 0 9 * * 1-5
Weekly on Sunday 0 0 * * 0
Monthly 1st 0 0 1 * *

Output Format

After creating the workflow file, provide:

  1. What the workflow does — one-paragraph summary
  2. Required secrets — list any secrets the user needs to configure in Settings > Secrets
  3. Required permissions — if the workflow needs non-default repository permissions
  4. How to test — how to trigger the workflow (push, create PR, manual dispatch)

Common Patterns to Combine

When the user asks for something generic like "set up CI/CD", create a single workflow with multiple jobs:

jobs:
  lint:        # Fast feedback
  test:        # Core validation
  build:       # Ensure it compiles/
how to use github-actions-creator

How to use github-actions-creator 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-creator
2

Execute installation command

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

$npx skills add https://github.com/davila7/claude-code-templates --skill github-actions-creator

The skills CLI fetches github-actions-creator from GitHub repository davila7/claude-code-templates 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-creator

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

4.742 reviews
  • Advait Khan· Dec 28, 2024

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

  • Sophia Verma· Dec 24, 2024

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

  • Dev Rahman· Dec 20, 2024

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

  • Sophia Tandon· Nov 19, 2024

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

  • Advait Smith· Nov 19, 2024

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

  • William Johnson· Nov 15, 2024

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

  • Yuki Brown· Nov 11, 2024

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

  • Pratham Ware· Oct 26, 2024

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

  • Dev Ghosh· Oct 10, 2024

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

  • Amelia Sharma· Oct 10, 2024

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

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