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Tdd

Community
selmakcby
tdd

Test-Driven Development workflow. Use when writing new features, fixing bugs, or refactoring code. Enforces RED-GREEN-REFACTOR cycle with 80%+ coverage.

Overview

Publisherselmakcby
Repositoryclaude-agents-skills
Skill nametdd
Stars
145
Forks
22
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 selmakcby on GitHub. Read the source before you install it.

Installation

Install the Tdd 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/selmakcby/claude-agents-skills/tree/main/skills/tdd
  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/selmakcby/claude-agents-skills.git /tmp/claude-agents-skills
mkdir -p .claude/skills
cp -r /tmp/claude-agents-skills/skills/tdd .claude/skills/tdd
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Tdd 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 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 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 — Test-Driven Development

Ne zaman tetiklenir

  • Yeni özellik yazıldığında
  • Bug fix öncesi (hatayı üreten test ilk yazılır)
  • Refactor sırasında (mevcut testler yeşil kalmalı)

RED — GREEN — REFACTOR

1. RED — Önce başarısız test yaz

  • Yeni davranışı test olarak yaz
  • Testi çalıştır, başarısız olduğunu gör
  • Başarısız olmazsa, test gerçekten bir şey ölçmüyor demektir

2. GREEN — Minimum kodu yaz

  • Testi geçiren en az kodu yaz
  • Güzel olmasına çalışma, sadece geçsin
  • Testin geçtiğini doğrula

3. REFACTOR — Temizle

  • Kod çalışıyor, şimdi netleştir
  • Testler yeşil kalmalı
  • İsim düzelt, duplication kaldır, fonksiyonları böl

Kapsam hedefleri

  • Genel kod: %80+ coverage
  • Kritik: auth, ödeme, güvenlik → %100 coverage
  • Test türleri (hepsi gerekli):
    • Unit (fonksiyon/utility)
    • Integration (API, DB)
    • E2E (kritik kullanıcı akışları)

Kurallar

  • Önce test, sonra kod. İstisnasız.
  • Test başarısız olursa kodu düzelt — testi düzeltme
  • Tüm dış bağımlılıkları mock'la (DB, API'ler, 3. parti)
  • Testler bağımsız olmalı (state paylaşmamalı)

Frequently asked questions

What does the Tdd AI skill do?

Test-Driven Development workflow. Use when writing new features, fixing bugs, or refactoring code. Enforces RED-GREEN-REFACTOR cycle with 80%+ coverage.

Why use Tdd on TypingMind?

Because you install it once and use it with any model. Tdd 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 in TypingMind?

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

Which AI models can use Tdd?

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?

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

Is the Tdd AI skill free?

Yes. It is published on GitHub by selmakcby 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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