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."
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What's inside this skill
Component source (preview)
🔧 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 Issuesyaml
.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. 🙏
});
}
### 2.2 Issue Analysis Prompttypescript
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,
"suggestedLabels": ["label1", "label2"],
"suggestedAssignees": ["username"] // based on area expertise
}
;
### 2.3 Stale Issue Managementyaml
.github/workflows/stale.yml
name: Manage Stale Issues
on:
schedule:
- cron: "0 0 *" # Daily
jobs:
stale:
runs-on: ubuntu-latest
steps:
- uses: actions/stale@v9
with:
stale-issue-message: |
This issue has been automatically marked as stale because it has not had
recent activity. It will be closed in 14 days if no further activity occurs.
If this issue is still relevant:
- Add a comment with an update
- Remove the stale label
Thank you for your contributions! 🙏
stale-pr-message: |
This PR has been automatically marked as stale. Please update it or it
will be closed in 14 days.
days-before-stale: 60
days-before-close: 14
stale-issue-label: "stale"
stale-pr-label: "stale"
exempt-issue-labels: "pinned,security,in-progress"
exempt-pr-labels: "pinned,security"
---
## 3. CI/CD Integration
### 3.1 Smart Test Selectionyaml
.github/workflows/smart-tests.yml
name: Smart Test Selection
on:
pull_request:
jobs:
analyze:
runs-on: ubuntu-latest
outputs:
test_suites: ${{ steps.analyze.outputs.suites }}
steps:
- uses: actions/checkout@v4
with:
fetch-depth: 0
- name: Analyze changes
id: analyze
run: |
# Get changed files
changed=$(git diff --name-only origin/${{ github.base_ref }}...HEAD)
# Determine which test suites to run
suites="[]"
if echo "$changed" | grep -q "^src/api/"; then
suites=$(echo $suites | jq '. + ["api"]')
fi
if echo "$changed" | grep -q "^src/frontend/"; then
suites=$(echo $suites | jq '. + ["frontend"]')
fi
if echo "$changed" | grep -q "^src/database/"; then
suites=$(echo $suites | jq '. + ["database", "api"]')
fi
# If nothing specific, run all
if [ "$suites" = "[]" ]; then
suites='["all"]'
fi
echo "suites=$suites" >> $GITHUB_OUTPUT
test:
needs: analyze
runs-on: ubuntu-latest
strategy:
matrix:
suite: ${{ fromJson(needs.analyze.outputs.test_suites) }}
steps:
- uses: actions/checkout@v4
- name: Run tests
run: |
if [ "${{ matrix.suite }}" = "all" ]; then
npm test
else
npm test -- --suite ${{ matrix.suite }}
fi
### 3.2 Deployment with AI Validationyaml
.github/workflows/deploy.yml
name: Deploy with AI Validation
on:
push:
branches: [main]
jobs:
validate:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: Get deployment changes
id: changes
run: |
# Get commits since last deployment
last_deploy=$(git describe --tags --abbrev=0 2>/dev/null || echo "")
if [ -n "$last_deploy" ]; then
changes=$(git log --oneline $last_deploy..HEAD)
else
changes=$(git log --oneline -10)
fi
echo "changes<
echo "$changes" >> $GITHUB_OUTPUT
echo "EOF" >> $GITHUB_OUTPUT
- name: AI Risk Assessment
id: assess
uses: actions/github-script@v7
with:
script: |
// Analyze changes for deployment risk
const prompt =
Analyze these changes for deployment risk:
${process.env.CHANGES}
Return JSON:
{
"riskLevel": "low" | "medium" | "high",
"concerns": ["concern1", "concern2"],
"recommendations": ["rec1", "rec2"],
"requiresManualApproval": boolean
}
;
// Call AI and parse response
const analysis = await callAI(prompt);
if (analysis.riskLevel === 'high') {
core.setFailed('High-risk deployment detected. Manual review required.');
}
return analysis;
env:
CHANGES: ${{ steps.changes.outputs.changes }}
deploy:
needs: validate
runs-on: ubuntu-latest
environment: production
steps:
- name: Deploy
run: |
echo "Deploying to production..."
# Deployment commands here
### 3.3 Rollback Automationyaml
.github/workflows/rollback.yml
name: Automated Rollback
on:
workflow_dispatch:
inputs:
reason:
description: "Reason for rollback"
required: true
jobs:
rollback:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
with:
fetch-depth: 0
- name: Find last stable version
id: stable
run: |
# Find last successful deployment
stable=$(git tag -l 'v*' --sort=-version:refname | head -1)
echo "version=$stable" >> $GITHUB_OUTPUT
- name: Rollback
run: |
git checkout ${{ steps.stable.outputs.version }}
# Deploy stable version
npm run deploy
- name: Notify team
uses: slackapi/slack-github-action@v1
with:
payload: |
{
"text": "🔄 Production rolled back to ${{ steps.stable.outputs.version }}",
"blocks": [
{
"type": "section",
"text": {
"type": "mrkdwn",
"text": "
Preview truncated. View the full source on GitHub →
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