github-workflow-automation
Automate GitHub workflows with AI assistance. Includes PR reviews, issue triage, CI/CD integration, and Git operations. Use when automating GitHub workflows, setting up PR review automation, creating GitHub Actions, or triaging issues.
Documentation
🔧 GitHub Workflow Automation
Patterns for automating GitHub workflows with AI assistance, inspired by Gemini CLI and modern DevOps practices.
When to Use This Skill
Use this skill when:
- Automating PR reviews with AI
- Setting up issue triage automation
- Creating GitHub Actions workflows
- Integrating AI into CI/CD pipelines
- Automating Git operations (rebases, cherry-picks)
1. Automated PR Review
1.1 PR Review Action
# .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: ${{ secrets.ANTHROPIC_API_KEY }}
1.2 Review Comment Patterns
# AI Review Structure
## 📋 Summary
Brief description of what this PR does.
## ✅ What looks good
- Well-structured code
- Good test coverage
- Clear naming conventions
## ⚠️ Potential Issues
1. **Line 42**: Possible null pointer exception
```javascript
// Current
user.profile.name;
// Suggested
user?.profile?.name ?? "Unknown";
```
- Line 78: Consider error handling
// Add try-catch or .catch()
💡 Suggestions
- Consider extracting the validation logic into a separate function
- Add JSDoc comments for public methods
🔒 Security Notes
- No sensitive data exposure detected
- API key handling looks correct
### 1.3 Focused Reviews
```yaml
# Review only specific file types
- name: Filter code files
run: |
files=$(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
2. Issue Triage Automation
2.1 Auto-label Issues
# .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
Use Cases
- Automating PR reviews with AI
- Setting up issue triage automation
- Creating GitHub Actions workflows
- Integrating AI into CI/CD pipelines
- Automating Git operations (rebases, cherry-picks)
Quick Info
- Source
- antigravity
- Category
- Document Processing
- Repository
- View Repo
- Scraped At
- Jan 26, 2026
Tags
Related Skills
ab-test-setup
Structured guide for setting up A/B tests with mandatory gates for hypothesis, metrics, and execution readiness.
airflow-dag-patterns
Build production Apache Airflow DAGs with best practices for operators, sensors, testing, and deployment. Use when creating data pipelines, orchestrating workflows, or scheduling batch jobs.
algorithmic-art
Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists' work to avoid copyright violations.