Claude Code SDK Testing Workflow Guide

Testing Claude Code skills requires a structured approach that validates both the skill definition and its runtime behavior. This guide walks you through building a solid testing workflow that catches issues before deployment and ensures your skills work reliably across different scenarios.

Setting Up Your Test Environment

Before writing tests, establish a clean testing environment. Create a dedicated directory for skill tests within your project:

mkdir -p tests/skills

Your test environment needs the Claude Code CLI installed and access to the skills you’re testing. If you’re developing skills that depend on other skills like the pdf skill for document generation or the xlsx skill for spreadsheet manipulation, ensure those dependencies are installed in your session.

Initialize a test configuration file that specifies which skills to load:

# test-config.yaml
skills:
  - name: pdf
    version: ">=1.0.0"
  - name: xlsx
    version: ">=1.0.0"
  - name: tdd
    version: ">=1.0.0"
test_mode: true

This configuration ensures reproducible test runs by pinning skill versions. The test_mode flag disables network calls and other side effects during testing.

Writing Your First Skill Test

Skill tests validate two things: the skill definition itself (front matter validity) and the skill’s behavior when invoked. Create a test file using a testing framework that supports JavaScript or Python:

// tests/skills/skill-validator.test.js
const { readFileSync } = require('fs');
const path = require('path');

describe('Skill Definition Validation', () => {
  const skillPath = path.join(__dirname, '../../skills/my-skill.md');
  
  test('skill has valid front matter', () => {
    const content = readFileSync(skillPath, 'utf-8');
    const frontMatter = parseFrontMatter(content);
    
    expect(frontMatter.name).toBeDefined();
    expect(frontMatter.description).toBeDefined();
    expect(frontMatter.tools).toBeDefined();
  });
  
  test('skill description length is appropriate', () => {
    const content = readFileSync(skillPath, 'utf-8');
    const frontMatter = parseFrontMatter(content);
    
    expect(frontMatter.description.length).toBeGreaterThan(20);
    expect(frontMatter.description.length).toBeLessThan(500);
  });
});

The tdd skill can help you generate test files automatically using test-driven development patterns. Load the skill and ask it to create scaffolding for your test suite.

Testing Skill Interactions

Real-world skills rarely work in isolation. They interact with file systems, external APIs, and other skills. Use the supermemory skill to maintain test fixtures and expected outputs across test runs:

// tests/skills/interaction.test.js
const { invokeSkill } = require('@claude-code/test-utils');

describe('Skill Interaction Tests', () => {
  test('pdf skill generates valid output', async () => {
    const result = await invokeSkill('pdf', {
      action: 'convert',
      input: '# Test Document\n\nHello World',
      format: 'pdf'
    });
    
    expect(result.success).toBe(true);
    expect(result.output).toMatch(/test-document\.pdf$/);
  });
  
  test('xlsx skill handles data transformation', async () => {
    const result = await invokeSkill('xlsx', {
      action: 'create',
      data: [{ name: 'Test', value: 100 }],
      template: 'report'
    });
    
    expect(result.file).toBeDefined();
    expect(result.formulas).toContain('SUM');
  });
});

These tests verify that skills respond correctly to different inputs and produce expected outputs. The frontend-design skill can generate test fixtures for design-related assertions.

Automating Test Execution

Integrate your test suite into a continuous integration pipeline. Create a test script that runs on every commit:

#!/bin/bash
# scripts/test-skills.sh

echo "Running skill definition tests..."
npx jest --testPathPattern="skill-validator"

echo "Running interaction tests..."
npx jest --testPathPattern="interaction"

echo "Running integration tests..."
npx jest --testPathPattern="integration"

Schedule these tests to run before deploying skills to production. If you’re using git hooks, add a pre-push hook:

# .git/hooks/pre-push
#!/bin/bash
npm test -- --skills-only

The internal-comms skill helps generate test reports in various formats for team communication.

Testing Edge Cases

Comprehensive testing covers not just happy paths but also error conditions and edge cases:

describe('Edge Case Handling', () => {
  test('handles missing input gracefully', async () => {
    const result = await invokeSkill('pdf', {
      action: 'convert',
      input: ''
    });
    
    expect(result.success).toBe(false);
    expect(result.error).toMatch(/empty input/i);
  });
  
  test('handles malformed configuration', async () => {
    const result = await invokeSkill('xlsx', {
      action: 'create',
      data: 'not-an-array',
      template: 'invalid'
    });
    
    expect(result.validationErrors).toBeDefined();
  });
  
  test('respects tool restrictions', async () => {
    // Skill with limited tools should fail when needing restricted tool
    const result = await invokeSkill('readonly-skill', {
      action: 'write',
      content: 'test'
    });
    
    expect(result.success).toBe(false);
    expect(result.error).toMatch(/tool.*not.*available/i);
  });
});

These tests ensure your skills fail gracefully and provide useful error messages when something goes wrong.

Performance Testing

For skills that process large amounts of data or make multiple tool calls, add performance benchmarks:

describe('Performance Benchmarks', () => {
  test('pdf conversion completes within threshold', async () => {
    const start = Date.now();
    
    await invokeSkill('pdf', {
      action: 'convert',
      input: generateLargeDocument(1000),
      format: 'pdf'
    });
    
    const duration = Date.now() - start;
    expect(duration).toBeLessThan(5000); // 5 second threshold
  });
  
  test('xlsx handles large datasets', async () => {
    const largeDataset = generateDataset(10000);
    
    const result = await invokeSkill('xlsx', {
      action: 'create',
      data: largeDataset
    });
    
    expect(result.processingTime).toBeLessThan(10000);
  });
});

The algorithmic-art skill can generate test data patterns for performance testing visual output generation.

Continuous Improvement

Testing is an ongoing process. After each skill release, review test coverage and add tests for any bugs discovered in production. Use the skill-creator skill to generate test templates for new skills automatically.

Maintain a test matrix documenting which skills work together and which combinations require additional configuration. This helps other developers understand testing requirements when modifying your skills.

Built by theluckystrike — More at zovo.one