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.
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AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versiongithub-actions-expertExecute the skills CLI command in your project's root directory to begin installation:
Fetches github-actions-expert from cin12211/orca-q and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate github-actions-expert. Access via /github-actions-expert in your agent's command palette.
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 environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
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
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
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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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.
# 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
# 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
# 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
// 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();
# 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
# 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
# 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/
# .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"
valueMake data-driven prioritization decisions faster
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
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ 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.
erichowens/some_claude_skills
sickn33/antigravity-awesome-skills
erichowens/some_claude_skills
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
github-actions-expert reduced setup friction for our internal harness; good balance of opinion and flexibility.
github-actions-expert has been reliable in day-to-day use. Documentation quality is above average for community skills.
Registry listing for github-actions-expert matched our evaluation — installs cleanly and behaves as described in the markdown.
Registry listing for github-actions-expert matched our evaluation — installs cleanly and behaves as described in the markdown.
Solid pick for teams standardizing on skills: github-actions-expert is focused, and the summary matches what you get after install.
github-actions-expert reduced setup friction for our internal harness; good balance of opinion and flexibility.
Useful defaults in github-actions-expert — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
I recommend github-actions-expert for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
github-actions-expert is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
We added github-actions-expert from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
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