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Tdd

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vinvcn
tdd

测试驱动开发。适用于用户想用先写测试的方式构建功能或修复缺陷、提到 “red-green-refactor”,或需要集成测试时。

Overview

Publishervinvcn
Repositorymattpocock-skills-zh-CN
Skill nametdd
Stars
4.3K
Forks
347
Bundled files
3
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.

  • 3 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by vinvcn 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.
  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/vinvcn/mattpocock-skills-zh-CN.git /tmp/mattpocock-skills-zh-CN
mkdir -p .claude/skills
cp -r /tmp/mattpocock-skills-zh-CN/skills/engineering/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.

Test-Driven Development

TDD 是 red -> green loop。这个 skill 是让该 loop 产出值得保留的 tests 的 reference:什么是好 test、tests 应该放在哪里、anti-patterns,以及 loop 的规则。每个 cycle 前和 cycle 中都要参考这些内容,而不是事后才看。

探索 codebase 时,读取 CONTEXT.md(如果存在),让 test names 和 interface vocabulary 与项目 domain language 对齐,并尊重你触碰区域的 ADRs。

What a good test is

Tests 应通过 public interfaces 验证 behavior,而不是 implementation details。代码可以完全改变;tests 不该随之改变。一个好 test 读起来像 specification:"user can checkout with valid cart" 能清楚说明存在什么能力;因为它不关心 internal structure,所以能承受 refactors。

示例见 tests.md,mocking 规则见 mocking.md

Seams — where tests go

Seam 是你测试的 public boundary:可以观察 behavior、但不伸手进入内部的 interface。Tests 放在 seams 上,绝不针对 internals。

只测试预先认可的 seams。 写任何 test 前,先写下要测试的 seams 并与用户确认。未经确认的 seam 不写 test。你无法测试所有东西;提前认可 seams,才能把测试精力放在 critical paths 和复杂 logic 上,而不是每个 edge case。

询问:"What's the public interface, and which seams should we test?"

当 interface 的形状本身就是问题所在时——module 该多深、seam 该放在哪里、interface 应该暴露什么——用 /codebase-design skill 获取词汇。它是 module、interface、depth、seam、adapter、leverage 和 locality 这些术语的共享来源,是供查阅的 reference,而不是要运行的 session。

Anti-patterns

  • Implementation-coupled — mock internal collaborators、测试 private methods,或通过 side channel 验证(例如不用 interface 而直接查询 database)。特征是 refactor 时 test 失败,但 behavior 没变。
  • Tautological — assertion 以和代码相同的方式重新计算 expected value(expect(add(a, b)).toBe(a + b)、手工按同一逻辑生成 snapshot、把 constant 断言等于它自己),因此天然 pass,永远无法与代码 disagree。Expected values 必须来自独立 source of truth:known-good literal、worked example 或 spec。
  • Horizontal slicing — 先写所有 tests,再写所有 implementation。批量 tests 验证的是 想象中的 behavior:你测试的是东西的 shape,不是 user-facing behavior;tests 会对真实变化迟钝,并在理解 implementation 前承诺 test structure。改用 vertical slices:一个 test -> 一个 implementation -> repeat,每个 test 都是回应上一轮学习的 tracer bullet

Rules of the loop

  • Red before green. 先写 failing test,再只写足够让它通过的代码。不要预判未来 tests,也不要添加 speculative features。
  • One slice at a time. 每个 cycle 只处理一个 seam、一个 test、一个 minimal implementation。
  • Refactoring is not part of the loop. Refactoring 属于 review stage(见 code-review skill),不属于 red -> green implementation cycle。

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Tdd AI skill do?

测试驱动开发。适用于用户想用先写测试的方式构建功能或修复缺陷、提到 “red-green-refactor”,或需要集成测试时。

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/vinvcn/mattpocock-skills-zh-CN/tree/main/skills/engineering/tdd. TypingMind reads its SKILL.md and bundles its files 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 vinvcn 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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