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Test Specialist

  • 856 installs
  • 432 repo stars
  • Updated November 11, 2025
  • ailabs-393/ai-labs-claude-skills

test-specialist is a Claude agent skill that follows a repeatable 5-step bug analysis process to turn vague defects into reliable fixes for developers working with AI coding agents.

About

test-specialist is version 1.0.0 from ailabs-393/ai-labs-claude-skills and packages a systematic bug analysis and debugging framework for Claude-powered agents. The skill walks through reproduction, environment identification, root-cause isolation, fix implementation, and verification so vague bug reports become actionable repair tasks. Developers invoke test-specialist when agent-assisted debugging produces inconsistent or shallow fixes. The published npm-style package exposes index.js, though implementers should treat the SKILL.md framework as the primary debugging playbook.

  • 5-step systematic bug analysis framework: Reproduction, Isolation, Root Cause Analysis, Fix Implementation, Validation
  • Always write a failing test before implementing the fix
  • Includes bug categories and detection patterns for faster triage
  • Forces minimal reproduction cases before debugging
  • Hard-gate: never skip reproduction and isolation steps

Test Specialist by the numbers

  • 856 all-time installs (skills.sh)
  • +6 installs in the week ending Aug 2, 2026 (Skillselion tracking)
  • Ranked #57 of 597 Debugging skills by installs in the Skillselion catalog
  • Security screen: LOW risk (skills.sh audit)
  • Data as of Aug 3, 2026 (Skillselion catalog sync)
npx skills add https://github.com/ailabs-393/ai-labs-claude-skills --skill test-specialist

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Listed on Skillselion
Installs856
repo stars432
Security audit3 / 3 scanners passed
Last updatedNovember 11, 2025
Repositoryailabs-393/ai-labs-claude-skills

How do you turn vague bugs into reliable fixes?

Follow a repeatable 5-step process that turns vague bugs into reliable fixes when working with Claude-powered agents.

Who is it for?

Developers using Claude agents who need a structured debugging workflow instead of ad-hoc patch attempts.

Skip if: Greenfield test suite authoring or CI pipeline setup where dedicated testing skills are more appropriate.

When should I use this skill?

A bug report is vague, reproduction is unclear, or agent-generated fixes fail verification repeatedly.

What you get

Reproduction steps, root-cause analysis, verified fix, and documented verification evidence

  • Bug reproduction steps
  • Root-cause analysis notes
  • Verified fix with test evidence

By the numbers

  • Follows a 5-step systematic bug analysis process
  • Version 1.0.0 in @ai-labs-claude-skills/test-specialist

Files

SKILL.mdMarkdownGitHub ↗

Test Specialist

Overview

Apply systematic testing methodologies and debugging techniques to JavaScript/TypeScript applications. This skill provides comprehensive testing strategies, bug analysis frameworks, and automated tools for identifying coverage gaps and untested code.

Core Capabilities

1. Writing Test Cases

Write comprehensive tests covering unit, integration, and end-to-end scenarios.

Unit Testing Approach

Structure tests using the AAA pattern (Arrange-Act-Assert):

describe('ExpenseCalculator', () => {
  describe('calculateTotal', () => {
    test('sums expense amounts correctly', () => {
      // Arrange
      const expenses = [
        { amount: 100, category: 'food' },
        { amount: 50, category: 'transport' },
        { amount: 25, category: 'entertainment' }
      ];

      // Act
      const total = calculateTotal(expenses);

      // Assert
      expect(total).toBe(175);
    });

    test('handles empty expense list', () => {
      expect(calculateTotal([])).toBe(0);
    });

    test('handles negative amounts', () => {
      const expenses = [
        { amount: 100, category: 'food' },
        { amount: -50, category: 'refund' }
      ];
      expect(calculateTotal(expenses)).toBe(50);
    });
  });
});

Key principles:

  • Test one behavior per test
  • Cover happy path, edge cases, and error conditions
  • Use descriptive test names that explain the scenario
  • Keep tests independent and isolated
Integration Testing Approach

Test how components work together, including database, API, and service interactions:

describe('ExpenseAPI Integration', () => {
  beforeAll(async () => {
    await database.connect(TEST_DB_URL);
  });

  afterAll(async () => {
    await database.disconnect();
  });

  beforeEach(async () => {
    await database.clear();
    await seedTestData();
  });

  test('POST /expenses creates expense and updates total', async () => {
    const response = await request(app)
      .post('/api/expenses')
      .send({
        amount: 50,
        category: 'food',
        description: 'Lunch'
      })
      .expect(201);

    expect(response.body).toMatchObject({
      id: expect.any(Number),
      amount: 50,
      category: 'food'
    });

    // Verify database state
    const total = await getTotalExpenses();
    expect(total).toBe(50);
  });
});
End-to-End Testing Approach

Test complete user workflows using tools like Playwright or Cypress:

test('user can track expense from start to finish', async ({ page }) => {
  // Navigate to app
  await page.goto('/');

  // Add new expense
  await page.click('[data-testid="add-expense-btn"]');
  await page.fill('[data-testid="amount"]', '50.00');
  await page.selectOption('[data-testid="category"]', 'food');
  await page.fill('[data-testid="description"]', 'Lunch');
  await page.click('[data-testid="submit"]');

  // Verify expense appears in list
  await expect(page.locator('[data-testid="expense-item"]')).toContainText('Lunch');
  await expect(page.locator('[data-testid="total"]')).toContainText('$50.00');
});

2. Systematic Bug Analysis

Apply structured debugging methodology to identify and fix issues.

Five-Step Analysis Process

1. Reproduction: Reliably reproduce the bug

  • Document exact steps to trigger
  • Identify required environment/state
  • Note expected vs actual behavior

2. Isolation: Narrow down the problem

  • Binary search through code path
  • Create minimal reproduction case
  • Remove unrelated dependencies

3. Root Cause Analysis: Determine underlying cause

  • Trace execution flow
  • Check assumptions and preconditions
  • Review recent changes (git blame)

4. Fix Implementation: Implement solution

  • Write failing test first (TDD)
  • Implement the fix
  • Verify test passes

5. Validation: Ensure completeness

  • Run full test suite
  • Test edge cases
  • Verify no regressions
Common Bug Patterns

Race Conditions:

// Test concurrent operations
test('handles concurrent updates correctly', async () => {
  const promises = Array.from({ length: 100 }, () =>
    incrementExpenseCount()
  );

  await Promise.all(promises);
  expect(getExpenseCount()).toBe(100);
});

Null/Undefined Errors:

// Test null safety
test.each([null, undefined, '', 0, false])
  ('handles invalid input: %p', (input) => {
    expect(() => processExpense(input)).toThrow('Invalid expense');
  });

Off-by-One Errors:

// Test boundaries explicitly
describe('pagination', () => {
  test('handles empty list', () => {
    expect(paginate([], 1, 10)).toEqual([]);
  });

  test('handles single item', () => {
    expect(paginate([item], 1, 10)).toEqual([item]);
  });

  test('handles last page with partial items', () => {
    const items = Array.from({ length: 25 }, (_, i) => i);
    expect(paginate(items, 3, 10)).toHaveLength(5);
  });
});

3. Identifying Potential Issues

Proactively identify issues before they become bugs.

Security Vulnerabilities

Test for common security issues:

describe('security', () => {
  test('prevents SQL injection', async () => {
    const malicious = "'; DROP TABLE expenses; --";
    await expect(
      searchExpenses(malicious)
    ).resolves.not.toThrow();
  });

  test('sanitizes XSS in descriptions', () => {
    const xss = '<script>alert("xss")</script>';
    const expense = createExpense({ description: xss });
    expect(expense.description).not.toContain('<script>');
  });

  test('requires authentication for expense operations', async () => {
    await request(app)
      .post('/api/expenses')
      .send({ amount: 50 })
      .expect(401);
  });
});
Performance Issues

Test for performance problems:

test('processes large expense list efficiently', () => {
  const largeList = Array.from({ length: 10000 }, (_, i) => ({
    amount: i,
    category: 'test'
  }));

  const start = performance.now();
  const total = calculateTotal(largeList);
  const duration = performance.now() - start;

  expect(duration).toBeLessThan(100); // Should complete in <100ms
  expect(total).toBe(49995000);
});
Logic Errors

Use parameterized tests to catch edge cases:

test.each([
  // [input, expected, description]
  [[10, 20, 30], 60, 'normal positive values'],
  [[0, 0, 0], 0, 'all zeros'],
  [[-10, 20, -5], 5, 'mixed positive and negative'],
  [[0.1, 0.2], 0.3, 'decimal precision'],
  [[Number.MAX_SAFE_INTEGER], Number.MAX_SAFE_INTEGER, 'large numbers'],
])('calculateTotal(%p) = %p (%s)', (amounts, expected, description) => {
  const expenses = amounts.map(amount => ({ amount, category: 'test' }));
  expect(calculateTotal(expenses)).toBeCloseTo(expected);
});

4. Test Coverage Analysis

Use automated tools to identify gaps in test coverage.

Finding Untested Code

Run the provided script to identify source files without tests:

python3 scripts/find_untested_code.py src

The script will:

  • Scan source directory for all code files
  • Identify which files lack corresponding test files
  • Categorize untested files by type (components, services, utils, etc.)
  • Prioritize files that need testing most

Interpretation:

  • API/Services: High priority - test business logic and data operations
  • Models: High priority - test data validation and transformations
  • Hooks: Medium priority - test stateful behavior
  • Components: Medium priority - test complex UI logic
  • Utils: Low priority - test as needed for complex functions
Analyzing Coverage Reports

Run the coverage analysis script after generating coverage:

# Generate coverage (using Jest example)
npm test -- --coverage

# Analyze coverage gaps
python3 scripts/analyze_coverage.py coverage/coverage-final.json

The script identifies:

  • Files below coverage threshold (default 80%)
  • Statement, branch, and function coverage percentages
  • Priority files to improve

Coverage targets:

  • Critical paths: 90%+ coverage
  • Business logic: 85%+ coverage
  • UI components: 75%+ coverage
  • Utilities: 70%+ coverage

5. Test Maintenance and Quality

Ensure tests remain valuable and maintainable.

Test Code Quality Principles

DRY (Don't Repeat Yourself):

// Extract common setup
function createTestExpense(overrides = {}) {
  return {
    amount: 50,
    category: 'food',
    description: 'Test expense',
    date: new Date('2024-01-01'),
    ...overrides
  };
}

test('filters by category', () => {
  const expenses = [
    createTestExpense({ category: 'food' }),
    createTestExpense({ category: 'transport' }),
  ];
  // ...
});

Clear test data:

// Bad: Magic numbers
expect(calculateDiscount(100, 0.15)).toBe(85);

// Good: Named constants
const ORIGINAL_PRICE = 100;
const DISCOUNT_RATE = 0.15;
const EXPECTED_PRICE = 85;
expect(calculateDiscount(ORIGINAL_PRICE, DISCOUNT_RATE)).toBe(EXPECTED_PRICE);

Avoid test interdependence:

// Bad: Tests depend on execution order
let sharedState;
test('test 1', () => {
  sharedState = { value: 1 };
});
test('test 2', () => {
  expect(sharedState.value).toBe(1); // Depends on test 1
});

// Good: Independent tests
test('test 1', () => {
  const state = { value: 1 };
  expect(state.value).toBe(1);
});
test('test 2', () => {
  const state = { value: 1 };
  expect(state.value).toBe(1);
});

Workflow Decision Tree

Follow this decision tree to determine the testing approach:

1. Adding new functionality?

  • Yes → Write tests first (TDD)
  • Write failing test
  • Implement feature
  • Verify test passes
  • Refactor
  • No → Go to step 2

2. Fixing a bug?

  • Yes → Apply bug analysis process
  • Reproduce the bug
  • Write failing test demonstrating bug
  • Fix the implementation
  • Verify test passes
  • No → Go to step 3

3. Improving test coverage?

  • Yes → Use coverage tools
  • Run find_untested_code.py to identify gaps
  • Run analyze_coverage.py on coverage reports
  • Prioritize critical paths
  • Write tests for untested code
  • No → Go to step 4

4. Analyzing code quality?

  • Yes → Systematic review
  • Check for security vulnerabilities
  • Test edge cases and error handling
  • Verify performance characteristics
  • Review error handling

Testing Frameworks and Tools

Recommended Stack

Unit/Integration Testing:

  • Jest or Vitest for test runner
  • Testing Library for React components
  • Supertest for API testing
  • MSW (Mock Service Worker) for API mocking

E2E Testing:

  • Playwright or Cypress
  • Page Object Model pattern

Coverage:

  • Istanbul (built into Jest/Vitest)
  • Coverage reports in JSON format

Running Tests

# Run all tests
npm test

# Run with coverage
npm test -- --coverage

# Run specific test file
npm test -- ExpenseCalculator.test.ts

# Run in watch mode
npm test -- --watch

# Run E2E tests
npm run test:e2e

Reference Documentation

For detailed patterns and techniques, refer to:

  • references/testing_patterns.md - Comprehensive testing patterns, best practices, and code examples
  • references/bug_analysis.md - In-depth bug analysis framework, common bug patterns, and debugging techniques

These references contain extensive examples and advanced techniques. Load them when:

  • Dealing with complex testing scenarios
  • Need specific pattern implementations
  • Debugging unusual issues
  • Seeking best practices for specific situations

Scripts

analyze_coverage.py

Analyze Jest/Istanbul coverage reports to identify gaps:

python3 scripts/analyze_coverage.py [coverage-file]

Automatically finds common coverage file locations if not specified.

Output:

  • Files below coverage threshold
  • Statement, branch, and function coverage percentages
  • Priority files to improve

find_untested_code.py

Find source files without corresponding test files:

python3 scripts/find_untested_code.py [src-dir] [--pattern test|spec]

Output:

  • Total source and test file counts
  • Test file coverage percentage
  • Untested files categorized by type (API, services, components, etc.)
  • Recommendations for prioritization

Best Practices Summary

1. Write tests first (TDD) when adding new features 2. Test behavior, not implementation - tests should survive refactoring 3. Keep tests independent - no shared state between tests 4. Use descriptive names - test names should explain the scenario 5. Cover edge cases - null, empty, boundary values, error conditions 6. Mock external dependencies - tests should be fast and reliable 7. Maintain high coverage - 80%+ for critical code 8. Fix failing tests immediately - never commit broken tests 9. Refactor tests - apply same quality standards as production code 10. Use tools - automate coverage analysis and gap identification

Related skills

FAQ

What are the test-specialist debugging steps?

test-specialist follows a 5-step bug analysis approach covering reproduction, required environment and state, root-cause isolation, fix implementation, and post-fix verification.

Is test-specialist only for Claude agents?

test-specialist is packaged as a Claude AI skill in ai-labs-claude-skills v1.0.0, but the systematic reproduction and verification framework applies to any agent-assisted debugging session.

Is Test Specialist safe to install?

skills.sh reports 3 of 3 security scanners passed. Review the Security Audits panel on this page before installing in production.

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