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Tdd Workflow

OrganizationPopular
WorldFlowAI
tdd-workflow

Use this skill when writing new features, fixing bugs, or refactoring code. Enforces test-driven development with 80%+ coverage including unit, integration, and E2E tests.

Overview

PublisherWorldFlowAI
Repositoryeverything-claude-code
Skill nametdd-workflow
Stars
3.1K
Forks
484
Bundled files
Instructions only
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by WorldFlowAI on GitHub. Read the source before you install it.

Installation

Install the Tdd Workflow AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/WorldFlowAI/everything-claude-code.git /tmp/everything-claude-code
mkdir -p .claude/skills
cp -r /tmp/everything-claude-code/skills/tdd-workflow .claude/skills/tdd-workflow
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Tdd Workflow in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Tdd Workflow on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Tdd Workflow is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Test-Driven Development Workflow

This skill ensures all code development follows TDD principles with comprehensive test coverage.

When to Activate

  • Writing new features or functionality
  • Fixing bugs or issues
  • Refactoring existing code
  • Adding API endpoints
  • Creating new components

Core Principles

1. Tests BEFORE Code

ALWAYS write tests first, then implement code to make tests pass.

2. Coverage Requirements

  • Minimum 80% coverage (unit + integration + E2E)
  • All edge cases covered
  • Error scenarios tested
  • Boundary conditions verified

3. Test Types

Unit Tests
  • Individual functions and utilities
  • Component logic
  • Pure functions
  • Helpers and utilities
Integration Tests
  • API endpoints
  • Database operations
  • Service interactions
  • External API calls
E2E Tests (Playwright)
  • Critical user flows
  • Complete workflows
  • Browser automation
  • UI interactions

TDD Workflow Steps

Step 1: Write User Journeys

As a [role], I want to [action], so that [benefit]

Example:
As a user, I want to search for markets semantically,
so that I can find relevant markets even without exact keywords.

Step 2: Generate Test Cases

For each user journey, create comprehensive test cases:

typescript
describe('Semantic Search', () => {
  it('returns relevant markets for query', async () => {
    // Test implementation
  })

  it('handles empty query gracefully', async () => {
    // Test edge case
  })

  it('falls back to substring search when Redis unavailable', async () => {
    // Test fallback behavior
  })

  it('sorts results by similarity score', async () => {
    // Test sorting logic
  })
})

Step 3: Run Tests (They Should Fail)

bash
npm test
# Tests should fail - we haven't implemented yet

Step 4: Implement Code

Write minimal code to make tests pass:

typescript
// Implementation guided by tests
export async function searchMarkets(query: string) {
  // Implementation here
}

Step 5: Run Tests Again

bash
npm test
# Tests should now pass

Step 6: Refactor

Improve code quality while keeping tests green:

  • Remove duplication
  • Improve naming
  • Optimize performance
  • Enhance readability

Step 7: Verify Coverage

bash
npm run test:coverage
# Verify 80%+ coverage achieved

Testing Patterns

Unit Test Pattern (Jest/Vitest)

typescript
import { render, screen, fireEvent } from '@testing-library/react'
import { Button } from './Button'

describe('Button Component', () => {
  it('renders with correct text', () => {
    render(<Button>Click me</Button>)
    expect(screen.getByText('Click me')).toBeInTheDocument()
  })

  it('calls onClick when clicked', () => {
    const handleClick = jest.fn()
    render(<Button onClick={handleClick}>Click</Button>)

    fireEvent.click(screen.getByRole('button'))

    expect(handleClick).toHaveBeenCalledTimes(1)
  })

  it('is disabled when disabled prop is true', () => {
    render(<Button disabled>Click</Button>)
    expect(screen.getByRole('button')).toBeDisabled()
  })
})

API Integration Test Pattern

typescript
import { NextRequest } from 'next/server'
import { GET } from './route'

describe('GET /api/markets', () => {
  it('returns markets successfully', async () => {
    const request = new NextRequest('http://localhost/api/markets')
    const response = await GET(request)
    const data = await response.json()

    expect(response.status).toBe(200)
    expect(data.success).toBe(true)
    expect(Array.isArray(data.data)).toBe(true)
  })

  it('validates query parameters', async () => {
    const request = new NextRequest('http://localhost/api/markets?limit=invalid')
    const response = await GET(request)

    expect(response.status).toBe(400)
  })

  it('handles database errors gracefully', async () => {
    // Mock database failure
    const request = new NextRequest('http://localhost/api/markets')
    // Test error handling
  })
})

E2E Test Pattern (Playwright)

typescript
import { test, expect } from '@playwright/test'

test('user can search and filter markets', async ({ page }) => {
  // Navigate to markets page
  await page.goto('/')
  await page.click('a[href="/markets"]')

  // Verify page loaded
  await expect(page.locator('h1')).toContainText('Markets')

  // Search for markets
  await page.fill('input[placeholder="Search markets"]', 'election')

  // Wait for debounce and results
  await page.waitForTimeout(600)

  // Verify search results displayed
  const results = page.locator('[data-testid="market-card"]')
  await expect(results).toHaveCount(5, { timeout: 5000 })

  // Verify results contain search term
  const firstResult = results.first()
  await expect(firstResult).toContainText('election', { ignoreCase: true })

  // Filter by status
  await page.click('button:has-text("Active")')

  // Verify filtered results
  await expect(results).toHaveCount(3)
})

test('user can create a new market', async ({ page }) => {
  // Login first
  await page.goto('/creator-dashboard')

  // Fill market creation form
  await page.fill('input[name="name"]', 'Test Market')
  await page.fill('textarea[name="description"]', 'Test description')
  await page.fill('input[name="endDate"]', '2025-12-31')

  // Submit form
  await page.click('button[type="submit"]')

  // Verify success message
  await expect(page.locator('text=Market created successfully')).toBeVisible()

  // Verify redirect to market page
  await expect(page).toHaveURL(/\/markets\/test-market/)
})

Test File Organization

src/
├── components/
│   ├── Button/
│   │   ├── Button.tsx
│   │   ├── Button.test.tsx          # Unit tests
│   │   └── Button.stories.tsx       # Storybook
│   └── MarketCard/
│       ├── MarketCard.tsx
│       └── MarketCard.test.tsx
├── app/
│   └── api/
│       └── markets/
│           ├── route.ts
│           └── route.test.ts         # Integration tests
└── e2e/
    ├── markets.spec.ts               # E2E tests
    ├── trading.spec.ts
    └── auth.spec.ts

Mocking External Services

Supabase Mock

typescript
jest.mock('@/lib/supabase', () => ({
  supabase: {
    from: jest.fn(() => ({
      select: jest.fn(() => ({
        eq: jest.fn(() => Promise.resolve({
          data: [{ id: 1, name: 'Test Market' }],
          error: null
        }))
      }))
    }))
  }
}))

Redis Mock

typescript
jest.mock('@/lib/redis', () => ({
  searchMarketsByVector: jest.fn(() => Promise.resolve([
    { slug: 'test-market', similarity_score: 0.95 }
  ])),
  checkRedisHealth: jest.fn(() => Promise.resolve({ connected: true }))
}))

OpenAI Mock

typescript
jest.mock('@/lib/openai', () => ({
  generateEmbedding: jest.fn(() => Promise.resolve(
    new Array(1536).fill(0.1) // Mock 1536-dim embedding
  ))
}))

Test Coverage Verification

Run Coverage Report

bash
npm run test:coverage

Coverage Thresholds

json
{
  "jest": {
    "coverageThresholds": {
      "global": {
        "branches": 80,
        "functions": 80,
        "lines": 80,
        "statements": 80
      }
    }
  }
}

Common Testing Mistakes to Avoid

❌ WRONG: Testing Implementation Details

typescript
// Don't test internal state
expect(component.state.count).toBe(5)

✅ CORRECT: Test User-Visible Behavior

typescript
// Test what users see
expect(screen.getByText('Count: 5')).toBeInTheDocument()

❌ WRONG: Brittle Selectors

typescript
// Breaks easily
await page.click('.css-class-xyz')

✅ CORRECT: Semantic Selectors

typescript
// Resilient to changes
await page.click('button:has-text("Submit")')
await page.click('[data-testid="submit-button"]')

❌ WRONG: No Test Isolation

typescript
// Tests depend on each other
test('creates user', () => { /* ... */ })
test('updates same user', () => { /* depends on previous test */ })

✅ CORRECT: Independent Tests

typescript
// Each test sets up its own data
test('creates user', () => {
  const user = createTestUser()
  // Test logic
})

test('updates user', () => {
  const user = createTestUser()
  // Update logic
})

Continuous Testing

Watch Mode During Development

bash
npm test -- --watch
# Tests run automatically on file changes

Pre-Commit Hook

bash
# Runs before every commit
npm test && npm run lint

CI/CD Integration

yaml
# GitHub Actions
- name: Run Tests
  run: npm test -- --coverage
- name: Upload Coverage
  uses: codecov/codecov-action@v3

Best Practices

  1. Write Tests First - Always TDD
  2. One Assert Per Test - Focus on single behavior
  3. Descriptive Test Names - Explain what's tested
  4. Arrange-Act-Assert - Clear test structure
  5. Mock External Dependencies - Isolate unit tests
  6. Test Edge Cases - Null, undefined, empty, large
  7. Test Error Paths - Not just happy paths
  8. Keep Tests Fast - Unit tests < 50ms each
  9. Clean Up After Tests - No side effects
  10. Review Coverage Reports - Identify gaps

Success Metrics

  • 80%+ code coverage achieved
  • All tests passing (green)
  • No skipped or disabled tests
  • Fast test execution (< 30s for unit tests)
  • E2E tests cover critical user flows
  • Tests catch bugs before production

Remember: Tests are not optional. They are the safety net that enables confident refactoring, rapid development, and production reliability.

Frequently asked questions

What does the Tdd Workflow AI skill do?

Use this skill when writing new features, fixing bugs, or refactoring code. Enforces test-driven development with 80%+ coverage including unit, integration, and E2E tests.

Why use Tdd Workflow on TypingMind?

Because you install it once and use it with any model. Tdd Workflow is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Tdd Workflow in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/WorldFlowAI/everything-claude-code/tree/main/skills/tdd-workflow. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Tdd Workflow?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Tdd Workflow?

As many as you like. As long as a model supports skills, you can use Tdd Workflow with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Tdd Workflow AI skill free?

It is published on GitHub by WorldFlowAI. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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