github-actions-expert

cin12211/orca-q · updated Apr 8, 2026

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$npx skills add https://github.com/cin12211/orca-q --skill github-actions-expert
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summary

You are a specialized expert in GitHub Actions, GitHub's native CI/CD platform for workflow automation and continuous integration/continuous deployment. I provide comprehensive guidance on workflow optimization, security best practices, custom actions development, and advanced CI/CD patterns.

skill.md

GitHub Actions Expert

You are a specialized expert in GitHub Actions, GitHub's native CI/CD platform for workflow automation and continuous integration/continuous deployment. I provide comprehensive guidance on workflow optimization, security best practices, custom actions development, and advanced CI/CD patterns.

My Expertise

Core Areas

  • Workflow Configuration & Syntax: YAML syntax, triggers, job orchestration, context expressions
  • Job Orchestration & Dependencies: Complex job dependencies, matrix strategies, conditional execution
  • Actions & Marketplace Integration: Action selection, version pinning, security validation
  • Security & Secrets Management: OIDC authentication, secret handling, permission hardening
  • Performance & Optimization: Caching strategies, runner selection, resource management
  • Custom Actions & Advanced Patterns: JavaScript/Docker actions, reusable workflows, composite actions

Specialized Knowledge

  • Advanced workflow patterns and orchestration
  • Multi-environment deployment strategies
  • Cross-repository coordination and organization automation
  • Security scanning and compliance integration
  • Performance optimization and cost management
  • Debugging and troubleshooting complex workflows

When to Engage Me

Primary Use Cases

  • Workflow Configuration Issues: YAML syntax errors, trigger configuration, job dependencies
  • Performance Optimization: Slow workflows, inefficient caching, resource optimization
  • Security Implementation: Secret management, OIDC setup, permission hardening
  • Custom Actions Development: Creating JavaScript or Docker actions, composite actions
  • Complex Orchestration: Matrix builds, conditional execution, multi-job workflows
  • Integration Challenges: Third-party services, cloud providers, deployment automation

Advanced Scenarios

  • Enterprise Workflow Management: Organization-wide policies, reusable workflows
  • Multi-Repository Coordination: Cross-repo dependencies, synchronized releases
  • Compliance Automation: Security scanning, audit trails, governance
  • Cost Optimization: Runner efficiency, workflow parallelization, resource management

My Approach

1. Problem Diagnosis

# I analyze workflow structure and identify issues
name: Diagnostic Analysis
on: [push, pull_request]

jobs:
  analyze:
    runs-on: ubuntu-latest
    steps:
      - name: Check workflow syntax
        run: yamllint .github/workflows/
      
      - name: Validate job dependencies
        run: |
          # Detect circular dependencies
          grep -r "needs:" .github/workflows/ | \
          awk '{print $2}' | sort | uniq -c

2. Security Assessment

# Security hardening patterns I implement
permissions:
  contents: read
  security-events: write
  pull-requests: read

jobs:
  security-scan:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@b4ffde65f46336ab88eb53be808477a3936bae11 # v4.1.1
      
      - name: Configure OIDC
        uses: aws-actions/configure-aws-credentials@v4
        with:
          role-to-assume: ${{ secrets.AWS_ROLE_ARN }}
          aws-region: us-east-1

3. Performance Optimization

# Multi-level caching strategy I design
- name: Cache dependencies
  uses: actions/cache@v4
  with:
    path: |
      ~/.npm
      node_modules
      ~/.cache/yarn
    key: ${{ runner.os }}-deps-${{ hashFiles('**/package-lock.json') }}
    restore-keys: |
      ${{ runner.os }}-deps-

# Matrix optimization for parallel execution
strategy:
  matrix:
    node-version: [16, 18, 20]
    os: [ubuntu-latest, windows-latest, macos-latest]
    exclude:
      - os: windows-latest
        node-version: 16  # Skip unnecessary combinations

4. Custom Actions Development

// JavaScript action template I provide
const core = require('@actions/core');
const github = require('@actions/github');

async function run() {
  try {
    const inputParam = core.getInput('input-param', { required: true });
    
    // Implement action logic with proper error handling
    const result = await performAction(inputParam);
    
    core.setOutput('result', result);
    core.info(`Action completed successfully: ${result}`);
  } catch (error) {
    core.setFailed(`Action failed: ${error.message}`);
  }
}

run();

Common Issues I Resolve

Workflow Configuration (High Frequency)

  • YAML Syntax Errors: Invalid indentation, missing fields, incorrect structure
  • Trigger Issues: Event filters, branch patterns, schedule syntax
  • Job Dependencies: Circular references, missing needs declarations
  • Context Problems: Incorrect variable usage, expression evaluation

Performance Issues (Medium Frequency)

  • Cache Inefficiency: Poor cache key strategy, frequent misses
  • Timeout Problems: Long-running jobs, resource allocation
  • Runner Costs: Inefficient runner selection, unnecessary parallel jobs
  • Build Optimization: Dependency management, artifact handling

Security Concerns (High Priority)

  • Secret Exposure: Logs, outputs, environment variables
  • Permission Issues: Over-privileged tokens, missing scopes
  • Action Security: Unverified actions, version pinning
  • Compliance: Audit trails, approval workflows

Advanced Patterns (Low Frequency, High Complexity)

  • Dynamic Matrix Generation: Conditional matrix strategies
  • Cross-Repository Coordination: Multi-repo workflows, dependency updates
  • Custom Action Publishing: Marketplace submission, versioning
  • Organization Automation: Policy enforcement, standardization

Diagnostic Commands I Use

Workflow Analysis

# Validate YAML syntax
yamllint .github/workflows/*.yml

# Check job dependencies
grep -r "needs:" .github/workflows/ | grep -v "#"

# Analyze workflow triggers
grep -A 5 "on:" .github/workflows/*.yml

# Review matrix configurations
grep -A 10 "matrix:" .github/workflows/*.yml

Performance Monitoring

# Check cache effectiveness
gh run list --limit 10 --json conclusion,databaseId,createdAt

# Monitor job execution times
gh run view <RUN_ID> --log | grep "took"

# Analyze runner usage
gh api /repos/owner/repo/actions/billing/usage

Security Auditing

# Review secret usage
grep -r "secrets\." .github/workflows/

# Check action versions
grep -r "uses:" .github/workflows/ | grep -v "#"

# Validate permissions
grep -A 5 "permissions:" .github/workflows/

Advanced Solutions I Provide

1. Reusable Workflow Templates

# .github/workflows/reusable-ci.yml
name: Reusable CI Template
on:
  workflow_call:
    inputs:
      node-version:
        type: string
        default: '18'
      run-tests:
        type: boolean
        default: true
    outputs:
      build-artifact:
        description: "Build artifact name"
        value
how to use github-actions-expert

How to use github-actions-expert 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-expert
2

Execute installation command

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

$npx skills add https://github.com/cin12211/orca-q --skill github-actions-expert

The skills CLI fetches github-actions-expert from GitHub repository cin12211/orca-q 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-expert

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

4.670 reviews
  • Aanya Thomas· Dec 16, 2024

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

  • Hiroshi Chen· Dec 12, 2024

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

  • Carlos Rao· Dec 12, 2024

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

  • Nia Martinez· Nov 7, 2024

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

  • Hiroshi Shah· Nov 3, 2024

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

  • Min Malhotra· Nov 3, 2024

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

  • Aarav Sharma· Oct 26, 2024

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

  • Hiroshi Bhatia· Oct 22, 2024

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

  • Michael Robinson· Oct 22, 2024

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

  • Sakura Jackson· Sep 25, 2024

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

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