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Agent Skill · 前端设计

tdd-london-chicago(TDD 伦敦 芝加哥)

tdd-london-chicago 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

tdd-london-chicago 是前端设计类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为需要联网;许可证为 MIT,第三方扫描已通过,按安装量在前端设计类的 10,216 个 Skill 里排第 2,809。

总安装 1,879周安装 76GitHub Stars 329下载 590核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:tdd-london-chicago(TDD 伦敦 芝加哥)
来源仓库:https://github.com/proffesor-for-testing/agentic-qe
仓库路径:skills/tdd-london-chicago
安装命令:
npx skills add https://github.com/proffesor-for-testing/agentic-qe --skill tdd-london-chicago
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/proffesor-for-testing/agentic-qe --skill tdd-london-chicago

这个 Skill 是做什么的

前端设计类 Skill 关注页面结构、视觉规范和组件写法,输出通常是可运行的界面代码。

tdd-london-chicago 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在开发环境中进行项目状态跟踪。适用于围绕仓库状态、代码变更或协作事项进行信息整理。通过 npx skills add 命令从 GitHub 仓库安装使用。

安装前建议确认权限范围、维护状态及是否会触发联网或文件读写操作。可结合来源仓库和原始 README 继续核验具体用法和功能细节。

来源仓库内路径:skills/tdd-london-chicago

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/proffesor-for-testing/agentic-qe --skill tdd-l…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

tdd-london-chicago 怎么安装?

在终端执行 npx skills add https://github.com/proffesor-for-testing/agentic-qe --skill tdd-london-chic…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

tdd-london-chicago 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

tdd-london-chicago 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

tdd-london-chicago 是免费的吗?

来源标注的许可证是 MIT。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

tdd-london-chicago 用的人多吗?

公开数据是累计安装 1,879 次,近一周安装 76 次,下载 590 次,GitHub 329 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

tdd-london-chicago 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 3 个目录同时收录,说明这个 Skill 流传比较广。
  • 许可证明确为 MIT,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理前端设计类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

前端设计类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
frontend-design

前端设计 · Codex、Claude

8,823,360126,072只读MIT通过
vercel-composition-patterns

Vercel 组合模式 · Codex、Claude

3,858,81625,893需要联网MIT通过
vercel-react-native-skills

Vercel React native skills 前端 · Codex、Claude

2,468,66425,878只读MIT通过
adapt

adapt 搜索 · Codex、Claude

2,027,04023,125操作浏览器未明确通过
bolder

bolder 分析 · Codex、Claude

2,004,28823,130只读未明确通过
tdd-london-chicago

TDD 伦敦 芝加哥 · 本页

1,879329需要联网MIT通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Test-Driven Development: London & Chicago Schools

<default_to_action> When implementing TDD or choosing testing style:

  1. IDENTIFY code type: domain logic → Chicago, external deps → London
  2. WRITE failing test first (Red phase)
  3. IMPLEMENT minimal code to pass (Green phase)
  4. REFACTOR while keeping tests green (Refactor phase)
  5. REPEAT cycle for next functionality

Quick Style Selection:

  • Pure functions/calculations → Chicago (real objects, state verification)
  • Controllers/services with deps → London (mocks, interaction verification)
  • Value objects → Chicago (test final state)
  • API integrations → London (mock external services)
  • Mix both in practice (London for controllers, Chicago for domain)

Critical Success Factors:

  • Tests drive design, not just verify it
  • Make tests fail first to ensure they test something
  • Write minimal code - no features beyond what's tested </default_to_action>

Quick Reference Card

When to Use

  • Starting new feature with test-first approach
  • Refactoring legacy code with test coverage
  • Teaching TDD practices to team
  • Choosing between mocking vs real objects

TDD Cycle

PhaseActionDiscipline
RedWrite failing testVerify it fails, check message is clear
GreenMinimal code to passNo extra features, don't refactor
RefactorImprove structureKeep tests passing, no new functionality

School Comparison

AspectChicago (Classicist)London (Mockist)
CollaboratorsReal objectsMocks/stubs
VerificationState (assert outcomes)Interaction (assert calls)
IsolationLower (integrated)Higher (unit only)
RefactoringEasierHarder (mocks break)
Design feedbackEmerges from useExplicit from start

Agent Coordination

  • qe-test-generator: Generate tests in both schools
  • qe-test-implementer: Implement minimal code (Green)
  • qe-test-refactorer: Safe refactoring (Refactor)

Chicago School (State-Based)

Philosophy: Test observable behavior through public API. Keep tests close to consumer usage.

// State verification - test final outcome
describe('Order', () => {
  it('calculates total with tax', () => {
    const order = new Order();
    order.addItem(new Product('Widget', 10.00), 2);
    order.addItem(new Product('Gadget', 15.00), 1);

    expect(order.totalWithTax(0.10)).toBe(38.50);
  });
});

When Chicago Shines:

  • Domain logic with clear state
  • Algorithms and calculations
  • Value objects (Money, Email)
  • Simple collaborations
  • Learning new domain

London School (Mock-Based)

Philosophy: Test each unit in isolation. Focus on how objects collaborate.

// Interaction verification - test method calls
describe('Order', () => {
  it('delegates tax calculation', () => {
    const taxCalculator = {
      calculateTax: jest.fn().mockReturnValue(3.50)
    };
    const order = new Order(taxCalculator);
    order.addItem({ price: 10 }, 2);

    order.totalWithTax();

    expect(taxCalculator.calculateTax).toHaveBeenCalledWith(20.00);
  });
});

When London Shines:

  • External integrations (DB, APIs)
  • Command patterns with side effects
  • Complex workflows
  • Slow operations (network, I/O)

Mixed Approach (Recommended)

// London for controller (external deps)
describe('OrderController', () => {
  it('creates order and sends confirmation', async () => {
    const orderService = { create: jest.fn().mockResolvedValue({ id: 123 }) };
    const emailService = { send: jest.fn() };

    const controller = new OrderController(orderService, emailService);
    await controller.placeOrder(orderData);

    expect(orderService.create).toHaveBeenCalledWith(orderData);
    expect(emailService.send).toHaveBeenCalled();
  });
});

// Chicago for domain logic
describe('OrderService', () => {
  it('applies discount when threshold met', () => {
    const service = new OrderService();
    const order = service.create({ items: [...], total: 150 });

    expect(order.discount).toBe(15); // 10% off > $100
  });
});

Common Pitfalls

❌ Over-Mocking (London)

// BAD - mocking everything
const product = { getName: jest.fn(), getPrice: jest.fn() };

Better: Only mock external dependencies.

❌ Mocking Internals

// BAD - testing private methods
expect(order._calculateSubtotal).toHaveBeenCalled();

Better: Test public behavior only.

❌ Test Pain = Design Pain

  • Need many mocks? → Too many dependencies
  • Hard to set up? → Constructor does too much
  • Can't test without database? → Coupling issue

Agent-Assisted TDD

// Agent generates tests in both schools
await Task("Generate Tests", {
  style: 'chicago',      // or 'london'
  target: 'src/domain/Order.ts',
  focus: 'state-verification'  // or 'collaboration-patterns'
}, "qe-test-generator");

// Agent-human ping-pong TDD
// Human writes test concept
const testIdea = "Order applies 10% discount when total > $100";

// Agent generates formal failing test (Red)
await Task("Create Failing Test", testIdea, "qe-test-generator");

// Human writes minimal code (Green)

// Agent suggests refactorings
await Task("Suggest Refactorings", { preserveTests: true }, "qe-test-refactorer");

Agent Coordination Hints

Memory Namespace

aqe/tdd/
├── test-plan/*        - TDD session plans
├── red-phase/*        - Failing tests generated
├── green-phase/*      - Implementation code
└── refactor-phase/*   - Refactoring suggestions

Fleet Coordination

const tddFleet = await FleetManager.coordinate({
  workflow: 'red-green-refactor',
  agents: {
    testGenerator: 'qe-test-generator',
    testExecutor: 'qe-test-executor',
    qualityAnalyzer: 'qe-quality-analyzer'
  },
  mode: 'sequential'
});

Related Skills


Remember

Chicago: Test state, use real objects, refactor freely London: Test interactions, mock dependencies, design interfaces first Both: Write the test first, make it pass, refactor

Neither is "right." Choose based on context. Mix as needed. Goal: well-designed, tested code.

With Agents: Agents excel at generating tests, validating green phase, and suggesting refactorings. Use agents to maintain TDD discipline while humans focus on design decisions.

Gotchas

  • Agent skips Red phase and writes test + implementation together — enforce "test must fail first" by running test before writing code
  • London school over-mocking creates brittle tests that break on any refactor — mock at architectural boundaries, not every function
  • Chicago school tests become slow as integration scope grows — keep test boundaries tight
  • Agent defaults to jest.mock() for everything — prefer dependency injection for testability
  • Refactor phase is where agent cuts corners most — verify no behavior changes by checking test output is identical

平台分布

Claude Code

26.78%
按下载量换算158

Antigravity

20.43%
按下载量换算121

windsurf

17.57%
按下载量换算104

github-copilot

12.46%
按下载量换算74

Codex

7.47%
按下载量换算44

trae

3.43%
按下载量换算20

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。

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