🔧 GitHub Workflow Automation

Overview

This public intake copy packages

plugins/antigravity-awesome-skills-claude/skills/github-workflow-automation

https://github.com/sickn33/antigravity-awesome-skills

Use it when the operator needs the upstream workflow, support files, and repository context to stay intact while the public validator and private enhancer continue their normal downstream flow.

This intake keeps the copied upstream files intact and uses

metadata.json

ORIGIN.md

🔧 GitHub Workflow Automation > Patterns for automating GitHub workflows with AI assistance, inspired by Gemini CLI and modern DevOps practices.

Imported source sections that did not map cleanly to the public headings are still preserved below or in the support files. Notable imported sections: 1. Automated PR Review, ✅ What looks good, ⚠️ Potential Issues, 💡 Suggestions, 🔒 Security Notes, 2. Issue Triage Automation.

When to Use This Skill

Use this section as the trigger filter. It should make the activation boundary explicit before the operator loads files, runs commands, or opens a pull request.

• 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)
• Use when the request clearly matches the imported source intent: Patterns for automating GitHub workflows with AI assistance, inspired by Gemini CLI and modern DevOps practices.

Operating Table

metadata.json

ORIGIN.md

SKILL.md

SKILL.md

## Related Skills

Workflow

This workflow is intentionally editorial and operational at the same time. It keeps the imported source useful to the operator while still satisfying the public intake standards that feed the downstream enhancer flow.

1. Confirm the user goal, the scope of the imported workflow, and whether this skill is still the right router for the task.
2. Read the overview and provenance files before loading any copied upstream support files.
3. Load only the references, examples, prompts, or scripts that materially change the outcome for the current request.
4. Execute the upstream workflow while keeping provenance and source boundaries explicit in the working notes.
5. Validate the result against the upstream expectations and the evidence you can point to in the copied files.
6. Escalate or hand off to a related skill when the work moves out of this imported workflow's center of gravity.
7. Before merge or closure, record what was used, what changed, and what the reviewer still needs to verify.

Imported Workflow Notes

Imported: 📋 Summary

Brief description of what this PR does.

Imported: 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

## Examples

### Example 1: Ask for the upstream workflow directly

```text
Use @github-workflow-automation to handle <task>. Start from the copied upstream workflow, load only the files that change the outcome, and keep provenance visible in the answer.
```

**Explanation:** This is the safest starting point when the operator needs the imported workflow, but not the entire repository.

### Example 2: Ask for a provenance-grounded review

```text
Review @github-workflow-automation against metadata.json and ORIGIN.md, then explain which copied upstream files you would load first and why.
```

**Explanation:** Use this before review or troubleshooting when you need a precise, auditable explanation of origin and file selection.

### Example 3: Narrow the copied support files before execution

```text
Use @github-workflow-automation for <task>. Load only the copied references, examples, or scripts that change the outcome, and name the files explicitly before proceeding.
```

**Explanation:** This keeps the skill aligned with progressive disclosure instead of loading the whole copied package by default.

### Example 4: Build a reviewer packet

```text
Review @github-workflow-automation using the copied upstream files plus provenance, then summarize any gaps before merge.
```

**Explanation:** This is useful when the PR is waiting for human review and you want a repeatable audit packet.

### Imported Usage Notes

#### Imported: Available Commands

| Command              | Description                 |
| :------------------- | :-------------------------- |
| `@ai-helper explain` | Explain the code in this PR |
| `@ai-helper review`  | Request AI code review      |
| `@ai-helper fix`     | Suggest fixes for issues    |
| `@ai-helper test`    | Generate test cases         |
| `@ai-helper docs`    | Generate documentation      |
| `/rebase`            | Rebase PR onto main         |
| `/update`            | Update PR branch from main  |
| `/approve`           | Mark as approved by bot     |
| `/label bug`         | Add 'bug' label             |
| `/assign @user`      | Assign to user              |
```

---

## Best Practices

Treat the generated public skill as a reviewable packaging layer around the upstream repository. The goal is to keep provenance explicit and load only the copied source material that materially improves execution.

- [ ] Store API keys in GitHub Secrets
- [ ] Use minimal permissions in workflows
- [ ] Validate all inputs
- [ ] Don't expose sensitive data in logs
- [ ] Cache dependencies
- [ ] Use matrix builds for parallel testing
- [ ] Skip unnecessary jobs with path filters

### Imported Operating Notes

#### Imported: Best Practices

### Security

- [ ] Store API keys in GitHub Secrets
- [ ] Use minimal permissions in workflows
- [ ] Validate all inputs
- [ ] Don't expose sensitive data in logs

### Performance

- [ ] Cache dependencies
- [ ] Use matrix builds for parallel testing
- [ ] Skip unnecessary jobs with path filters
- [ ] Use self-hosted runners for heavy workloads

### Reliability

- [ ] Add timeouts to jobs
- [ ] Handle rate limits gracefully
- [ ] Implement retry logic
- [ ] Have rollback procedures

---

## Troubleshooting

### Problem: The operator skipped the imported context and answered too generically

**Symptoms:** The result ignores the upstream workflow in `plugins/antigravity-awesome-skills-claude/skills/github-workflow-automation`, fails to mention provenance, or does not use any copied source files at all.
**Solution:** Re-open `metadata.json`, `ORIGIN.md`, and the most relevant copied upstream files. Load only the files that materially change the answer, then restate the provenance before continuing.

### Problem: The imported workflow feels incomplete during review

**Symptoms:** Reviewers can see the generated `SKILL.md`, but they cannot quickly tell which references, examples, or scripts matter for the current task.
**Solution:** Point at the exact copied references, examples, scripts, or assets that justify the path you took. If the gap is still real, record it in the PR instead of hiding it.

### Problem: The task drifted into a different specialization

**Symptoms:** The imported skill starts in the right place, but the work turns into debugging, architecture, design, security, or release orchestration that a native skill handles better.
**Solution:** Use the related skills section to hand off deliberately. Keep the imported provenance visible so the next skill inherits the right context instead of starting blind.



## Related Skills

- `@github-issue-creator` - Use when the work is better handled by that native specialization after this imported skill establishes context.
- `@gitlab-automation` - Use when the work is better handled by that native specialization after this imported skill establishes context.
- `@gitlab-ci-patterns` - Use when the work is better handled by that native specialization after this imported skill establishes context.
- `@gitops-workflow` - Use when the work is better handled by that native specialization after this imported skill establishes context.

## Additional Resources

Use this support matrix and the linked files below as the operator packet for this imported skill. They should reflect real copied source material, not generic scaffolding.

| Resource family | What it gives the reviewer | Example path |
| --- | --- | --- |
| `references` | copied reference notes, guides, or background material from upstream | `references/n/a` |
| `examples` | worked examples or reusable prompts copied from upstream | `examples/n/a` |
| `scripts` | upstream helper scripts that change execution or validation | `scripts/n/a` |
| `agents` | routing or delegation notes that are genuinely part of the imported package | `agents/n/a` |
| `assets` | supporting assets or schemas copied from the source package | `assets/n/a` |



### Imported Reference Notes

#### Imported: Resources

- [Gemini CLI GitHub Action](https://github.com/google-github-actions/run-gemini-cli)
- [GitHub Actions Documentation](https://docs.github.com/en/actions)
- [GitHub REST API](https://docs.github.com/en/rest)
- [CODEOWNERS Syntax](https://docs.github.com/en/repositories/managing-your-repositorys-settings-and-features/customizing-your-repository/about-code-owners)

#### Imported: ✅ What looks good

- Well-structured code
- Good test coverage
- Clear naming conventions

#### Imported: ⚠️ Potential Issues

1. **Line 42**: Possible null pointer exception
   ```javascript
   // Current
   user.profile.name;
   // Suggested
   user?.profile?.name ?? "Unknown";
   ```

2. Line 78: Consider error handling

   // Add try-catch or .catch()
   

Imported: 💡 Suggestions

• Consider extracting the validation logic into a separate function
• Add JSDoc comments for public methods

Imported: 🔒 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

Imported: 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(`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 Prompt

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 Management

# .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"

Imported: 3. CI/CD Integration

3.1 Smart Test Selection

# .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 Validation

# .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<<EOF" >> $GITHUB_OUTPUT
          echo "$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 Automation

# .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 ${{ steps.stable.outputs.version }}",
              "blocks": [
                {
                  "type": "section",
                  "text": {
                    "type": "mrkdwn",
                    "text": "*Rollback executed*\n• Version: `${{ steps.stable.outputs.version }}`\n• Reason: ${{ inputs.reason }}\n• Triggered by: ${{ github.actor }}"
                  }
                }
              ]
            }

Imported: 4. Git Operations

4.1 Automated Rebasing

# .github/workflows/auto-rebase.yml
name: Auto Rebase

on:
  issue_comment:
    types: [created]

jobs:
  rebase:
    if: github.event.issue.pull_request && contains(github.event.comment.body, '/rebase')
    runs-on: ubuntu-latest

    steps:
      - uses: actions/checkout@v4
        with:
          fetch-depth: 0
          token: ${{ secrets.GITHUB_TOKEN }}

      - name: Setup Git
        run: |
          git config user.name "github-actions[bot]"
          git config user.email "github-actions[bot]@users.noreply.github.com"

      - name: Rebase PR
        run: |
          # Fetch PR branch
          gh pr checkout ${{ github.event.issue.number }}

          # Rebase onto main
          git fetch origin main
          git rebase origin/main

          # Force push
          git push --force-with-lease
        env:
          GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}

      - name: Comment result
        uses: actions/github-script@v7
        with:
          script: |
            github.rest.issues.createComment({
              owner: context.repo.owner,
              repo: context.repo.repo,
              issue_number: context.issue.number,
              body: '✅ Successfully rebased onto main!'
            })

4.2 Smart Cherry-Pick

// AI-assisted cherry-pick that handles conflicts
async function smartCherryPick(commitHash: string, targetBranch: string) {
  // Get commit info
  const commitInfo = await exec(`git show ${commitHash} --stat`);

  // Check for potential conflicts
  const targetDiff = await exec(
    `git diff ${targetBranch}...HEAD -- ${affectedFiles}`
  );

  // AI analysis
  const analysis = await ai.analyze(`
    I need to cherry-pick this commit to ${targetBranch}:
    
    ${commitInfo}
    
    Current state of affected files on ${targetBranch}:
    ${targetDiff}
    
    Will there be conflicts? If so, suggest resolution strategy.
  `);

  if (analysis.willConflict) {
    // Create branch for manual resolution
    await exec(
      `git checkout -b cherry-pick-${commitHash.slice(0, 7)} ${targetBranch}`
    );
    const result = await exec(`git cherry-pick ${commitHash}`, {
      allowFail: true,
    });

    if (result.failed) {
      // AI-assisted conflict resolution
      const conflicts = await getConflicts();
      for (const conflict of conflicts) {
        const resolution = await ai.resolveConflict(conflict);
        await applyResolution(conflict.file, resolution);
      }
    }
  } else {
    await exec(`git checkout ${targetBranch}`);
    await exec(`git cherry-pick ${commitHash}`);
  }
}

4.3 Branch Cleanup

# .github/workflows/branch-cleanup.yml
name: Branch Cleanup

on:
  schedule:
    - cron: '0 0 * * 0'  # Weekly
  workflow_dispatch:

jobs:
  cleanup:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
        with:
          fetch-depth: 0

      - name: Find stale branches
        id: stale
        run: |
          # Branches not updated in 30 days
          stale=$(git for-each-ref --sort=-committerdate refs/remotes/origin \
            --format='%(refname:short) %(committerdate:relative)' | \
            grep -E '[3-9][0-9]+ days|[0-9]+ months|[0-9]+ years' | \
            grep -v 'origin/main\|origin/develop' | \
            cut -d' ' -f1 | sed 's|origin/||')

          echo "branches<<EOF" >> $GITHUB_OUTPUT
          echo "$stale" >> $GITHUB_OUTPUT
          echo "EOF" >> $GITHUB_OUTPUT

      - name: Create cleanup PR
        if: steps.stale.outputs.branches != ''
        uses: actions/github-script@v7
        with:
          script: |
            const branches = `${{ steps.stale.outputs.branches }}`.split('\n').filter(Boolean);

            const body = `## 🧹 Stale Branch Cleanup

The following branches haven't been updated in over 30 days:

${branches.map(b => `- \`${b}\``).join('\n')}

### Actions:
- [ ] Review each branch
- [ ] Delete branches that are no longer needed
- Comment \`/keep branch-name\` to preserve specific branches
`;

            await github.rest.issues.create({
              owner: context.repo.owner,
              repo: context.repo.repo,
              title: 'Stale Branch Cleanup',
              body: body,
              labels: ['housekeeping']
            });

Imported: 5. On-Demand Assistance

5.1 @mention Bot

# .github/workflows/mention-bot.yml
name: AI Mention Bot

on:
  issue_comment:
    types: [created]
  pull_request_review_comment:
    types: [created]

jobs:
  respond:
    if: contains(github.event.comment.body, '@ai-helper')
    runs-on: ubuntu-latest

    steps:
      - uses: actions/checkout@v4

      - name: Extract question
        id: question
        run: |
          # Extract text after @ai-helper
          question=$(echo "${{ github.event.comment.body }}" | sed 's/.*@ai-helper//')
          echo "question=$question" >> $GITHUB_OUTPUT

      - name: Get context
        id: context
        run: |
          if [ "${{ github.event.issue.pull_request }}" != "" ]; then
            # It's a PR - get diff
            gh pr diff ${{ github.event.issue.number }} > context.txt
          else
            # It's an issue - get description
            gh issue view ${{ github.event.issue.number }} --json body -q .body > context.txt
          fi
          echo "context=$(cat context.txt)" >> $GITHUB_OUTPUT
        env:
          GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}

      - name: AI Response
        uses: actions/github-script@v7
        with:
          script: |
            const response = await ai.chat(`
              Context: ${process.env.CONTEXT}
              
              Question: ${process.env.QUESTION}
              
              Provide a helpful, specific answer. Include code examples if relevant.
            `);

            await github.rest.issues.createComment({
              owner: context.repo.owner,
              repo: context.repo.repo,
              issue_number: context.issue.number,
              body: response
            });
        env:
          CONTEXT: ${{ steps.context.outputs.context }}
          QUESTION: ${{ steps.question.outputs.question }}

5.2 Command Patterns

#### Imported: 6. Repository Configuration

### 6.1 CODEOWNERS

.github/CODEOWNERS

Global owners

• @org/core-team

Frontend

/src/frontend/ @org/frontend-team *.tsx @org/frontend-team *.css @org/frontend-team

Backend

/src/api/ @org/backend-team /src/database/ @org/backend-team

Infrastructure

/.github/ @org/devops-team /terraform/ @org/devops-team Dockerfile @org/devops-team

Docs

/docs/ @org/docs-team *.md @org/docs-team

Security-sensitive

/src/auth/ @org/security-team /src/crypto/ @org/security-team

### 6.2 Branch Protection

```yaml
# Set up via GitHub API
- name: Configure branch protection
  uses: actions/github-script@v7
  with:
    script: |
      await github.rest.repos.updateBranchProtection({
        owner: context.repo.owner,
        repo: context.repo.repo,
        branch: 'main',
        required_status_checks: {
          strict: true,
          contexts: ['test', 'lint', 'ai-review']
        },
        enforce_admins: true,
        required_pull_request_reviews: {
          required_approving_review_count: 1,
          require_code_owner_reviews: true,
          dismiss_stale_reviews: true
        },
        restrictions: null,
        required_linear_history: true,
        allow_force_pushes: false,
        allow_deletions: false
      });

Imported: Limitations

• Use this skill only when the task clearly matches the scope described above.
• Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
• Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.