Claude Skills Guide

PR bots have become essential tools for maintaining code quality and streamlining code review processes. When you integrate Claude Code into these workflows, you unlock powerful capabilities like automated code analysis, intelligent summarization, and contextual feedback generation. This guide walks you through practical approaches to building effective PR bot integrations that enhance your development pipeline.

Understanding PR Bot Integration Points

Before diving into implementation, identify where Claude Code adds the most value in your PR workflow. Most teams find success placing AI assistance at three key stages: pre-commit validation, PR description generation, and review automation.

Pre-commit validation catches issues before they reach reviewers. PR description generation saves developers time by auto-generating changelogs and summaries. Review automation handles repetitive checks so human reviewers focus on architecture and logic.

Claude Code excels at understanding context, generating human-readable summaries, and applying consistent standards across all PRs. Unlike traditional linting tools that only check syntax, Claude Code comprehends intent and can suggest improvements based on your project’s specific patterns.

Setting Up Claude Code for PR Automation

The first step is configuring Claude Code to run in your CI/CD environment. You’ll need to set up authentication and define the scope of analysis. Here’s a practical starting point:

# Install Claude Code CLI
npm install -g @anthropic-ai/claude-code

# Authenticate with your API key
claude config set api-key $ANTHROPIC_API_KEY

# Verify the installation
claude --version

For GitHub Actions, create a workflow file that invokes Claude Code on PR events:

name: Claude Code PR Analysis
on: [pull_request]

jobs:
  analyze:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - name: Run Claude Code Analysis
        env:
          ANTHROPIC_API_KEY: ${{ secrets.ANTHROPIC_API_KEY }}
        run: |
          claude analyze --pr=${{ github.event.pull_request.number }} \
            --repo=${{ github.repository }} \
            --config=.claude/pr-rules.yaml

This basic setup runs Claude Code on every PR and outputs analysis results as comments. The configuration file controls what checks Claude Code performs and how it reports findings.

Configuring Analysis Rules

Generic analysis produces noise. Define rules specific to your codebase and team’s priorities. Create a .claude/pr-rules.yaml file that specifies your requirements:

analysis:
  focus:
    - security vulnerabilities
    - code complexity
    - test coverage
    - documentation

security:
  enabled: true
  check:
    - sql-injection patterns
    - hardcoded credentials
    - insecure deserialization

complexity:
  max-function-length: 50
  max-nesting-depth: 4
  max-params: 5

comments:
  format: github-pr-review
  severity-threshold: warning

This configuration tells Claude Code to prioritize security issues, flag complex functions, and format output as GitHub PR review comments. Adjust these values based on your team’s standards and tolerance for warnings versus errors.

Building a PR Summary Generator

Beyond analysis, Claude Code excels at generating useful PR descriptions. Create a custom skill that extracts key information and produces human-readable summaries. Here’s a practical implementation:

// pr-summary-skill.js
module.exports = {
  name: 'pr-summary',
  description: 'Generate PR summaries with changelog and impact analysis',
  
  async handle(prContext) {
    const { diff, commits, files } = prContext;
    
    const prompt = `
      Analyze this PR and generate a summary covering:
      1. What changed and why
      2. Files affected (grouped by component)
      3. Testing approach needed
      4. Breaking changes or migration notes
      
      Diff summary:
      ${diff.slice(0, 10000)}
      
      Changed files: ${files.join(', ')}
    `;
    
    const response = await claude.complete(prompt);
    return formatPRSummary(response);
  }
};

This skill extracts the essential information and uses Claude Code’s language capabilities to produce a well-structured summary. Developers can then edit and refine the generated description rather than writing from scratch.

Most teams use existing PR bot infrastructure rather than building from scratch. Claude Code integrates well with common tools like Danger, Renovate, and custom GitHub Apps.

GitHub App Integration

For GitHub Apps, create a webhook handler that forwards PR events to Claude Code:

// github-app-handler.ts
import { App, ExpressReceiver } from '@slack/bolt';
import { ClaudeCode } from '@anthropic-ai/claude-code';

const receiver = new ExpressReceiver({ signingSecret: process.env.SECRET });
const claude = new ClaudeCode({ apiKey: process.env.ANTHROPIC_API_KEY });

const app = new App({
  token: process.env.SLACK_TOKEN,
  receiver
});

app.webserver.post('/github-webhook', async (req, res) => {
  const event = req.body;
  
  if (event.action === 'opened' || event.action === 'synchronize') {
    const pr = event.pull_request;
    const analysis = await claude.analyzePR({
      owner: event.repository.owner.login,
      repo: event.repository.name,
      number: pr.number,
      diff: await getPRDiff(pr.url)
    });
    
    await postPRComment(pr.comments_url, analysis);
  }
  
  res.status(200).send('OK');
});

This handler receives GitHub webhook events, runs Claude Code analysis, and posts results back to the PR. The integration is straightforward but powerful—you control exactly what analysis runs and how results display.

Danger.js Integration

If you use Danger.js, add Claude Code as a rule:

// Dangerfile.js
import { danger, warn, message } from 'danger';
import { ClaudeCode } from '@anthropic-ai/claude-code';

const claude = new ClaudeCode({ apiKey: process.env.ANTHROPIC_API_KEY });

// Run Claude analysis on PR changes
const analysis = await claude.analyzeChanges(danger.git.diff);

if (analysis.securityIssues.length > 0) {
  warn(`⚠️ Security issues detected:\n${analysis.securityIssues.join('\n')}`);
}

if (analysis.complexityWarnings.length > 0) {
  message(`📊 Complexity warnings:\n${analysis.complexityWarnings.join('\n')}`);
}

Danger.js provides a clean DSL for posting results, and Claude Code fits naturally into this pattern. The analysis results map directly to Danger’s warning and message functions.

Best Practices for PR Bot Workflows

Successful PR bot integration requires balancing automation with developer experience. Follow these principles for effective implementations.

Start narrow and expand gradually. Begin with one or two specific checks—security vulnerabilities or test coverage, for example. Add more rules once your team trusts the system and has refined the false positive rate.

Tune feedback for your team. What constitutes a warning versus an error depends on your culture. Some teams want strict enforcement; others prefer suggestive warnings. Adjust severity levels based on feedback from your reviewers.

Provide actionable guidance. Instead of generic comments like “this could be improved,” include specific suggestions. Claude Code can generate code snippets, link to documentation, and suggest refactoring approaches.

Monitor and iterate. Track metrics like comment volume, review time, and developer satisfaction. If Claude Code comments go ignored, they’re not providing value. Continuously refine your rules based on actual usage patterns.

Advanced: Context-Aware Analysis

As your integration matures, add context awareness. Store project-specific knowledge and use it to improve analysis quality. For example, track common patterns in your codebase and have Claude Code reference them when suggesting changes:

context:
  patterns:
    - name: "Error handling pattern"
      description: "We prefer Result<T, E> over exceptions"
      example: "function getUser(): Result<User, UserError> { ... }"
  
  conventions:
    - "Use TypeScript strict mode"
    - "Prefer functional components in React"
    - "All public APIs require JSDoc comments"

analysis:
  reference-conventions: true
  suggest-pattern-matches: true

This context helps Claude Code provide suggestions that align with your project’s established patterns rather than generic recommendations.

Conclusion

Integrating Claude Code into your PR bot workflows transforms automated code review from a compliance exercise into genuine quality assistance. Start with basic analysis, expand to summary generation, and gradually add context-aware features as your team builds confidence. The key is maintaining the right balance between automation and developer control—Claude Code should augment human review, not replace the judgment that makes code reviews valuable.

Remember to iterate on your configuration based on real feedback. The most successful implementations evolve with team needs, continuously improving to catch issues that matter while avoiding noise that frustrates developers.

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