github-actions-expert▌
cin12211/orca-q · updated Apr 8, 2026
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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.
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"
valueHow to use github-actions-expert on Cursor
AI-first code editor with Composer
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
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches github-actions-expert from GitHub repository cin12211/orca-q and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
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
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.Install product management skill
- 2.Start with user story generation for known feature
- 3.Progress to competitive analysis: research 2-3 competitors
- 4.Use for roadmap prioritization: apply RICE/ICE scoring
- 5.Draft stakeholder communications and refine based on feedback
- 6.Build template library for recurring PM tasks
- 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▌
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.6★★★★★70 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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