tutorial openclaw claude-code skills development

Practical Guide: Building OpenClaw Skills with Claude Code

Step-by-step tutorial: How to use Claude Code's efficient development workflow to create powerful Skills for OpenClaw. From project setup to testing and deployment, a complete developer guide.

February 5, 2026 • 8 min read • By Claude World

Introduction: Why Combine Claude Code with OpenClaw?

OpenClaw provides a powerful Agent platform, but developing Skills takes time. Claude Code provides efficient AI-assisted development experience.

Both combined = Faster & Better Skills Development Workflow.

This article will guide you through:

  1. ✅ Environment setup
  2. ✅ Creating your first Skill
  3. ✅ Testing & debugging
  4. ✅ Deployment & publishing
  5. ✅ Best practices

Step 1: Prepare Development Environment

1.1 Install Required Tools

# Install Node.js (recommend 20+)
nvm install 20
nvm use 20

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

# Install pnpm (OpenClaw uses it)
npm install -g pnpm

1.2 Clone OpenClaw Project

# Fork OpenClaw to your GitHub
# Then clone your fork

git clone https://github.com/YOUR_USERNAME/openclaw.git
cd openclaw

# Install dependencies
pnpm install

# Setup development environment
cp .env.example .env
# Edit .env, add necessary API keys

1.3 Setup Git Hooks

# OpenClaw uses Git hooks to ensure code quality
./scripts/setup-git-hooks.js

Step 2: Create Skill with Claude Code

2.1 Quick Start with skill-creator

# In OpenClaw root directory
claude -p "/skill-creator"

# Claude Code will guide you:
# 1. Skill name
# 2. Feature description
# 3. Required tools
# 4. Trigger conditions

Interactive Example:

🤖 Describe the skill you want to create:

💬 I want to create a skill that automatically analyzes GitHub repo's tech stack
   and generates visualized reports.

🤖 Analyzing requirements...
   Suggested skill name: tech-stack-analyzer
   Suggested tools:
   - GitHub API (fetch repo info)
   - Parser (analyze package.json/requirements.txt)
   - Report Generator (generate report)

   Confirm generation? [Y/n]

2.2 Manual Skill Structure Creation

cd skills
mkdir tech-stack-analyzer
cd tech-stack-analyzer

Use Claude Code to generate skeleton:

claude -p "
Create OpenClaw skill structure:

skill: tech-stack-analyzer
description: Analyze GitHub repo tech stack and generate report
tools:
  - fetch-repo-info
  - analyze-dependencies
  - generate-report

Please generate complete skill.ts and manifest.json
"

Step 3: Implement Core Skill Functionality

3.1 Define Skill Manifest

skills/tech-stack-analyzer/manifest.json:

{
  "name": "tech-stack-analyzer",
  "version": "1.0.0",
  "description": "Analyze GitHub repo tech stack and generate visualized report",
  "author": "Your Name <your.email@example.com>",
  "license": "MIT",
  "skills": {
    "analyze_repo": {
      "description": "Analyze specified GitHub repo's tech stack",
      "parameters": {
        "owner": {
          "type": "string",
          "description": "Repo owner (username or org)",
          "required": true
        },
        "repo": {
          "type": "string",
          "description": "Repository name",
          "required": true
        }
      },
      "tools": [
        "github:fetch-repo",
        "parser:dependencies",
        "reporter:generate"
      ]
    }
  },
  "tools": [
    {
      "name": "github:fetch-repo",
      "description": "Fetch repo info from GitHub API"
    },
    {
      "name": "parser:dependencies",
      "description": "Parse dependency files"
    },
    {
      "name": "reporter:generate",
      "description": "Generate Markdown report"
    }
  ]
}

3.2 Implement Skill Logic

Use Claude Code to assist implementation:

claude -p "
Implement tech-stack-analyzer skill:

Requirements:
1. Use GitHub API to fetch repo info
2. Support parsing files:
   - package.json (Node.js)
   - requirements.txt (Python)
   - go.mod (Go)
   - Cargo.toml (Rust)
   - pom.xml (Java)
3. Generate tech stack report including:
   - Primary languages
   - Framework list
   - Dependency count
   - License info

Please:
- Use TypeScript
- Complete error handling
- Add type definitions
- Follow OpenClaw conventions
"

Claude Code will generate:

skills/tech-stack-analyzer/skill.ts:

import { Skill, Tool, Context } from '@openclaw/sdk';

interface TechStack {
  languages: string[];
  frameworks: string[];
  dependencies: {
    total: number;
    direct: number;
    dev: number;
  };
  license: string;
}

export const techStackAnalyzer: Skill = {
  name: 'tech-stack-analyzer',
  description: 'Analyze GitHub repo tech stack',

  async analyzeRepo(
    context: Context,
    params: { owner: string; repo: string }
  ): Promise<TechStack> {
    const { owner, repo } = params;

    // 1. Fetch repo info from GitHub
    const repoInfo = await context.tools['github:fetch-repo']({
      owner,
      repo
    });

    // 2. Detect language
    const languages = detectLanguages(repoInfo);

    // 3. Analyze dependencies
    const dependencies = await analyzeDependencies(
      context,
      repoInfo.defaultBranch
    );

    // 4. Extract license
    const license = repoInfo.license?.key || 'Unknown';

    return {
      languages,
      frameworks: extractFrameworks(dependencies),
      dependencies,
      license
    };
  }
};

Step 4: Test Skill

4.1 Generate Tests with Claude Code

claude -p "
Generate tests for tech-stack-analyzer skill:

Test scenarios:
1. Successful analysis of Node.js repo
2. Successful analysis of Python repo
3. Handling private repo (requires auth)
4. Handling non-existent repo
5. Handling repo without dependency files

Please use:
- Vitest (OpenClaw's testing framework)
- Mock external APIs
- Cover edge cases
"

Generated test file skill.test.ts:

import { describe, it, expect, vi } from 'vitest';
import { techStackAnalyzer } from './skill';

describe('tech-stack-analyzer', () => {
  it('should analyze Node.js repo', async () => {
    const mockContext = {
      tools: {
        'github:fetch-repo': vi.fn().mockResolvedValue({
          language: 'TypeScript',
          languages: { TypeScript: 80, JavaScript: 20 },
          license: { key: 'MIT' },
          defaultBranch: 'main'
        })
      }
    };

    const result = await techStackAnalyzer.analyzeRepo(
      mockContext as any,
      { owner: 'facebook', repo: 'react' }
    );

    expect(result.languages).toContain('TypeScript');
    expect(result.license).toBe('MIT');
  });

  // ... more tests
});

4.2 Run Tests

# In skill directory
pnpm test

# Or use watch mode
pnpm test:watch

# Check coverage
pnpm test:coverage

4.3 Debug with Claude Code

# If tests fail
claude -p "
Debug this test failure:

[Paste test error message]

Please:
1. Analyze error cause
2. Provide fix suggestions
3. Generate fixed code
"

Step 5: Local Testing

5.1 Start OpenClaw Dev Environment

# In OpenClaw root directory
pnpm dev

# This will start:
# - Core services
# - Web UI (http://localhost:3000)
# - WebSocket connections
# - Hot reload

5.2 Test Skill

# Use OpenClaw CLI to test
npx openclaw skill test tech-stack-analyzer \
  --owner facebook \
  --repo react

# Or use Web UI
# http://localhost:3000/skills/tech-stack-analyzer

Step 6: Optimization & Refinement

6.1 Add Type Safety

claude -p "
Add complete type definitions for tech-stack-analyzer:

Please use:
- TypeScript strict mode
- Interface definitions for all inputs/outputs
- Generic types for multiple repo types
- Zod runtime validation
"

6.2 Add Documentation

claude -p "
Generate skill documentation:

Include:
1. README.md (usage instructions)
2. API.md (API documentation)
3. EXAMPLES.md (usage examples)
4. CONTRIBUTING.md (contribution guide)

Follow OpenClaw documentation standards
"

Step 7: Deploy to Production

7.1 Docker Deployment

# Build Docker image
docker build -t openclaw-tech-stack-analyzer .

# Test run
docker run -d \
  -p 3000:3000 \
  -env GITHUB_TOKEN=$GITHUB_TOKEN \
  openclaw-tech-stack-analyzer

7.2 Cloud Deploy (Render)

# Use Claude Code to generate Render config
claude -p "
Generate Render.com deployment config:

Requirements:
- Auto-deploy from GitHub
- Environment variable configuration
- Health check
- Log collection
"

Best Practices

Development Workflow

graph LR
    A[Requirements] --> B[Claude Code Design]
    B --> C[Implement]
    C --> D[Test]
    D --> E{Pass?}
    E -->|No| F[Claude Code Debug]
    F --> C
    E -->|Yes| G[Review]
    G --> H[Deploy]
    H --> I[Monitor]

Error Handling

// ✅ Good error handling
async function analyzeRepo(owner: string, repo: string) {
  try {
    const info = await fetchRepoInfo(owner, repo);
    return processInfo(info);
  } catch (error) {
    if (error instanceof NotFoundError) {
      throw new SkillError(
        `Repository ${owner}/${repo} not found`,
        'NOT_FOUND'
      );
    }
    throw new SkillError(
      'Failed to analyze repository',
      'UNKNOWN_ERROR',
      { originalError: error }
    );
  }
}

Common Issues

Q1: Skill Won’t Load?

Checklist:

# 1. Check manifest.json syntax
cat manifest.json | jq .

# 2. Check TypeScript compilation
pnpm build

# 3. View logs
tail -f logs/openclaw.log

Q2: GitHub API Rate Limits?

Solution:

// Use authentication to increase limits
const token = process.env.GITHUB_TOKEN;
const headers = {
  'Authorization': `token ${token}`,
  'Accept': 'application/vnd.github.v3+json'
};

// Implement exponential backoff
async function fetchWithRetry(url: string, retries = 3) {
  for (let i = 0; i < retries; i++) {
    try {
      return await fetch(url, { headers });
    } catch (error) {
      if (i === retries - 1) throw error;
      await sleep(Math.pow(2, i) * 1000);
    }
  }
}

Resources

Official Resources

Learning Resources

Summary

Development Workflow Recap

1. Environment Setup → Install tools
2. Create Skill → Claude Code assisted
3. Implement Functionality → TDD development
4. Test Debug → Vitest + Claude Code
5. Optimize Complete → Types, docs, performance
6. Deploy Publish → Docker / Cloud
7. Maintain Continuously → CI/CD + monitoring

Key Takeaways

✅ Efficient Development: Claude Code accelerates 3-5x ✅ Quality Assurance: TDD + automated testing ✅ Best Practices: Follow OpenClaw standards ✅ Continuous Improvement: Monitoring & feedback loop

Start building your first OpenClaw Skill now!

Chinese Translation: 實戰指南：用 Claude Code 開發 OpenClaw Skills