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Tdd Workflow

Community
Omar-Obando
tdd-workflow

Test-Driven Development workflow skill with patterns for unit, integration, and e2e testing. Use when implementing features to ensure all code is born tested with comprehensive coverage.

Overview

PublisherOmar-Obando
Repositoryqwen-orchestrator
Skill nametdd-workflow
Stars
53
Forks
13
Bundled files
Instructions only
LicenseMIT
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 Omar-Obando 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.
    https://github.com/Omar-Obando/qwen-orchestrator/tree/main/skills/tdd-workflow
  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/Omar-Obando/qwen-orchestrator.git /tmp/qwen-orchestrator
mkdir -p .claude/skills
cp -r /tmp/qwen-orchestrator/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.

TDD Workflow Skill — Test-First Development

This skill enforces a strict Test-Driven Development workflow ensuring every line of production code is justified by a failing test.

The TDD Cycle

┌─────────────────────────────────────────────┐
│                                             │
│   ┌─────────┐    ┌─────────┐    ┌────────┐ │
│   │  RED    │───▶│  GREEN  │───▶│REFACTOR│ │
│   │Write    │    │Make it  │    │Clean it│ │
│   │Failing  │    │Pass     │    │Up      │ │
│   └─────────┘    └─────────┘    └────────┘ │
│        │                              │     │
│        └──────────────────────────────┘     │
│                  REPEAT                     │
└─────────────────────────────────────────────┘

Test Categories

Unit Tests (Foundation)

  • Test a single function/method in isolation
  • Mock all external dependencies
  • Fast (< 10ms per test)
  • No file system, network, or database access
typescript
describe('calculateTotal', () => {
  it('should sum all item prices', () => {
    const items = [{ price: 10 }, { price: 20 }, { price: 30 }];
    expect(calculateTotal(items)).toBe(60);
  });

  it('should return 0 for empty array', () => {
    expect(calculateTotal([])).toBe(0);
  });

  it('should handle negative prices with absolute value', () => {
    const items = [{ price: -10 }];
    expect(calculateTotal(items)).toBe(10);
  });
});

Integration Tests (Service Boundaries)

  • Test interaction between modules
  • Use real implementations where possible
  • Use test databases/containers for data layer
  • Verify contracts between services

E2E Tests (User Journeys)

  • Test complete user workflows
  • Run against real environment
  • Minimal mocking
  • Focus on critical paths

What to Test

For Every Function

CategoryTest Cases
Happy PathNormal inputs → expected outputs
BoundariesEmpty, single, max, min values
Null/UndefinedMissing optional parameters
Type ErrorsWrong input types
Error ConditionsExpected failures
ConcurrencyRace conditions if applicable

For Every API Endpoint

CategoryTest Cases
200 OKValid request → correct response
400 Bad RequestInvalid input → clear error
401 UnauthorizedMissing/invalid auth
403 ForbiddenInsufficient permissions
404 Not FoundNon-existent resource
409 ConflictDuplicate creation
500 ErrorServer error handling

Coverage Strategy

Must Have (100% coverage target)

  • Business logic and domain rules
  • Data transformations and validations
  • Error handling paths
  • Authentication and authorization

Should Have (80% coverage target)

  • Controller/route handlers
  • Service orchestration
  • Data access layer

Nice to Have (60% coverage target)

  • Configuration loading
  • Utility functions
  • Logging and monitoring

Test Quality Rules

  1. No Test Interdependence: Each test must run independently
  2. Descriptive Names: it('should return 404 when user not found')
  3. Arrange-Act-Assert: Clear three-phase structure
  4. One Assertion Per Concept: Group related assertions, separate unrelated
  5. Deterministic: Same test, same result, every time
  6. Fast Feedback: Unit tests < 10ms, Integration < 1s, E2E < 30s

When NOT to Use

Do NOT use this skill when:

  • Working on existing code without tests (use debugging skill to understand first)
  • Designing database schemas (use database-design skill)
  • Writing API endpoint implementations (use api-design skill)
  • Reviewing code for quality issues (use code-review skill)
  • Performing security audits (use security-auditor skill)
  • Analyzing deployment configurations (use deployment skill)
  • Designing multi-page website layouts (use design-system skill)
  • Reviewing git workflows (use git-workflow skill)

Frequently asked questions

What does the Tdd Workflow AI skill do?

Test-Driven Development workflow skill with patterns for unit, integration, and e2e testing. Use when implementing features to ensure all code is born tested with comprehensive coverage.

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/Omar-Obando/qwen-orchestrator/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?

Yes. It is published on GitHub by Omar-Obando under the MIT license. 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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