Patterns for automating GitHub workflows with AI assistance, inspired by Gemini CLI and modern DevOps practices.
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versiongithub-workflow-automationExecute the skills CLI command in your project's root directory to begin installation:
Fetches github-workflow-automation from davila7/claude-code-templates 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-workflow-automation. Access via /github-workflow-automation 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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Patterns for automating GitHub workflows with AI assistance, inspired by Gemini CLI and modern DevOps practices.
Use this skill when:
# .github/workflows/ai-review.yml
name: AI Code Review
on:
pull_request:
types: [opened, synchronize]
jobs:
review:
runs-on: ubuntu-latest
permissions:
contents: read
pull-requests: write
steps:
- uses: actions/checkout@v4
with:
fetch-depth: 0
- name: Get changed files
id: changed
run: |
files=$(git diff --name-only origin/${{ github.base_ref }}...HEAD)
echo "files<<EOF" >> $GITHUB_OUTPUT
echo "$files" >> $GITHUB_OUTPUT
echo "EOF" >> $GITHUB_OUTPUT
- name: Get diff
id: diff
run: |
diff=$(git diff origin/${{ github.base_ref }}...HEAD)
echo "diff<<EOF" >> $GITHUB_OUTPUT
echo "$diff" >> $GITHUB_OUTPUT
echo "EOF" >> $GITHUB_OUTPUT
- name: AI Review
uses: actions/github-script@v7
with:
script: |
const { Anthropic } = require('@anthropic-ai/sdk');
const client = new Anthropic({ apiKey: process.env.ANTHROPIC_API_KEY });
const response = await client.messages.create({
model: "claude-3-sonnet-20240229",
max_tokens: 4096,
messages: [{
role: "user",
content: `Review this PR diff and provide feedback:
Changed files: ${{ steps.changed.outputs.files }}
Diff:
${{ steps.diff.outputs.diff }}
Provide:
1. Summary of changes
2. Potential issues or bugs
3. Suggestions for improvement
4. Security concerns if any
Format as GitHub markdown.`
}]
});
await github.rest.pulls.createReview({
owner: context.repo.owner,
repo: context.repo.repo,
pull_number: context.issue.number,
body: response.content[0].text,
event: 'COMMENT'
});
env:
ANTHROPIC_API_KEY: ${{ secrets.ANTHROPIC_API_KEY }}
# AI Review Structure
## 📋 Summary
Brief description of what this PR does.
## ✅ What looks good
- Well-structured code
- Good test coverage
- Clear naming conventions
## ⚠️ Potential Issues
1. **Line 42**: Possible null pointer exception
```javascript
// Current
user.profile.name;
// Suggested
user?.profile?.name ?? "Unknown";
```
// Add try-catch or .catch()
### 1.3 Focused Reviews
```yaml
# Review only specific file types
- name: Filter code files
run: |
files=$(git diff --name-only origin/${{ github.base_ref }}...HEAD | \
grep -E '\.(ts|tsx|js|jsx|py|go)$' || true)
echo "code_files=$files" >> $GITHUB_OUTPUT
# Review with context
- name: AI Review with context
run: |
# Include relevant context files
context=""
for file in ${{ steps.changed.outputs.files }}; do
if [[ -f "$file" ]]; then
context+="=== $file ===\n$(cat $file)\n\n"
fi
done
# Send to AI with full file context
# .github/workflows/issue-triage.yml
name: Issue Triage
on:
issues:
types: [opened]
jobs:
triage:
runs-on: ubuntu-latest
permissions:
issues: write
steps:
- name: Analyze issue
uses: actions/github-script@v7
with:
script: |
const issue = context.payload.issue;
// Call AI to analyze
const analysis = await analyzeIssue(issue.title, issue.body);
// Apply labels
const labels = [];
if (analysis.type === 'bug') {
labels.push('bug');
if (analysis.severity === 'high') labels.push('priority: high');
} else if (analysis.type === 'feature') {
labels.push('enhancement');
} else if (analysis.type === 'question') {
labels.push('question');
}
if (analysis.area) {
labels.push(`area: ${analysis.area}`);
}
await github.rest.issues.addLabels({
owner: context.repo.owner,
repo: context.repo.repo,
issue_number: issue.number,
labels: labels
});
// Add initial response
if (analysis.type === 'bug' && !analysis.hasReproSteps) {
await github.rest.issues.createComment({
owner: context.repo.owner,
repo: context.repo.repo,
issue_number: issue.number,
body: `Thanks for reporting this issue!
To help us investigate, could you please provide:
- Steps to reproduce the issue
- Expected behavior
- Actual behavior
- Environment (OS, version, etc.)
This will help us resolve your issue faster. 🙏`
});
}
const TRIAGE_PROMPT = `
Analyze this GitHub issue and classify it:
Title: {title}
Body: {body}
Return JSON with:
{
"type": "bug" | "feature" | "question" | "docs" | "other",
"severity": "low" | "medium" | "high" | "critical",
"area": "frontend" | "backend" | "api" | "docs" | "ci" | "other",
"summary": "one-line summary",
"hasReproSteps": boolean,
"isFirstContribution": boolean,
Make 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.
davila7/claude-code-templates
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
ailabs-393/ai-labs-claude-skills
Solid pick for teams standardizing on skills: github-workflow-automation is focused, and the summary matches what you get after install.
We added github-workflow-automation from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Solid pick for teams standardizing on skills: github-workflow-automation is focused, and the summary matches what you get after install.
Registry listing for github-workflow-automation matched our evaluation — installs cleanly and behaves as described in the markdown.
Useful defaults in github-workflow-automation — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
github-workflow-automation has been reliable in day-to-day use. Documentation quality is above average for community skills.
Useful defaults in github-workflow-automation — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Registry listing for github-workflow-automation matched our evaluation — installs cleanly and behaves as described in the markdown.
github-workflow-automation fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Solid pick for teams standardizing on skills: github-workflow-automation is focused, and the summary matches what you get after install.
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