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Agent Skill · 前端设计

incremental-tdd(增量 TDD)

incremental-tdd 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。

incremental-tdd 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,权限为只读;许可证信息还不明确,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 8,797。

总安装 259周安装 11GitHub Stars 6下载 91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
unknown

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:incremental-tdd(增量 TDD)
来源仓库:https://github.com/kambleakash0/agent-skills
仓库路径:skills/incremental-tdd
安装命令:
npx skills add https://github.com/kambleakash0/agent-skills --skill incremental-tdd
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。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/kambleakash0/agent-skills --skill incremental-tdd

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。

incremental-tdd 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息。适用于围绕仓库状态、代码变更和协作事项进行整理分析。通过 npx skills add 命令从 GitHub 仓库安装并使用该技能。安装前需确认权限范围、维护状态及是否触发联网或文件操作。

建议结合原始 README 文档进一步核验具体用法和功能边界。

来源仓库内路径:skills/incremental-tdd

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/kambleakash0/agent-skills --skill incremental-…;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

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

incremental-tdd 怎么安装?

在终端执行 npx skills add https://github.com/kambleakash0/agent-skills --skill incremental-tdd。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

incremental-tdd 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。

incremental-tdd 需要什么权限?

权限级别是只读。该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

incremental-tdd 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

incremental-tdd 用的人多吗?

公开数据是累计安装 259 次,近一周安装 11 次,下载 91 次,GitHub 6 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。

incremental-tdd 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。
  • 第三方扫描已通过,常见的高风险行为没有命中。
  • 标注为只读权限,试用阶段不容易误改本地文件。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 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。
  • 只想先试试效果、不希望它改动本地文件的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 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
incremental-tdd

增量 TDD · 本页

2596只读未明确通过

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 (Red-Green-Refactor)

This skill forces you to work in tight TDD loops: one failing test, one implementation, then refactor. It prefers vertical slices and deep modules so tests stay honest, stable, and focused on real behavior instead of implementation details.

This skill comes with extra documents you can reference for philosophy and examples:

When you need guidance on design or refactoring, open and read these files instead of guessing.

When to Use

Use this skill when the user:

  • Wants to build a feature or fix a bug using TDD.
  • Mentions “red‑green‑refactor”, “test‑first”, or “write the tests first”.
  • Wants honest integration or module‑level tests that drive design rather than brittle unit tests.
  • Is running longer “Ralph” loops or autonomous agents and wants higher‑quality changes.

If the requirements are unclear, suggest using /grill-me and /spec-writer first, then come back here for execution.

Overall Workflow

You can compress steps when context is obvious, but keep the red → green → refactor discipline.

  1. Clarify behavior and interfaces

- Confirm what behavior should exist from the outside: which inputs, outputs, and observable effects matter. - Identify or design the interfaces you’ll use to expose that behavior (public functions, handlers, endpoints, etc.). - Prefer deep modules: fewer, larger modules with thin, stable interfaces on top. - If needed, open deep-modules.md and adjust your interface design to match that philosophy.

  1. Choose the next vertical slice

- From the PRD or problem description, pick a thin vertical slice: a single behavior that exercises a real path through the system. - Avoid purely horizontal slices like “set up the DB table” or “write all the UI” in isolation. - Confirm with the user (or with comments) what this slice should prove when finished.

  1. Red: write one failing test

- Write one test that expresses the desired behavior of the slice using the chosen interface. - Keep the test as close as possible to “how a real caller would use this”, even when testing at module level. - Prefer real collaborators or thin fakes over heavy mocking. When in doubt, consult mocking.md. - Run the test and confirm it fails for the expected reason.

  1. Green: write the minimal implementation

- Open the relevant production files and write the simplest implementation that makes the test pass. - Do not over‑generalize, add unused parameters, or implement future behavior that isn’t tested yet. - Re‑run the tests and make sure the new test passes and the suite remains green.

  1. Refactor: improve design safely

- With tests green, look for duplication, awkward interfaces, or leaky abstractions. - Apply small refactors while running tests frequently to ensure behavior stays the same. - Use deep-modules.md and refactoring.md as guides for better boundaries and deeper modules. - Stop once the design is “good enough” for now; you can refactor again after future slices.

  1. Repeat the loop

- Pick the next slice or behavior, then repeat Red → Green → Refactor. - Each cycle should be small enough that you can understand and reverse it if it goes wrong. - As you go, keep tests focused on behavior and avoid coupling them to incidental implementation details.

Behavior and Rules

  1. Always respect the loop. Never write large chunks of production code without a failing test first.
  2. One test at a time. Do not generate dozens of tests at once. Add tests incrementally as behavior demands.
  3. Prefer higher‑level tests. Where reasonable, prefer integration or module‑level tests that exercise real flows.
  4. Guard against dishonest tests. Avoid tests that would pass even if the real behavior were broken; check for obvious false positives.
  5. Be willing to change your own code. Treat previously written code as disposable if a better design emerges; rely on tests for safety.
  6. Use the attached docs. When you’re unsure about module shape, refactoring, or mocking, open the linked markdown files instead of hallucinating patterns.

Example Flow

User: “Implement weekly admin summary emails using TDD. I already have the PRD and issues.”

You (high level):

  1. Skim the PRD and issues, identify the first vertical slice (e.g., “compute weekly metrics for a single team”).
  2. Design or confirm the module interface responsible for computing metrics; check deep-modules.md for guidance.
  3. Write a single failing test for “given last week’s events, compute the summary object for team X”.
  4. Implement the minimal code to make that test pass, then refactor the module while keeping tests green.
  5. Repeat for additional behaviors (multiple teams, filters, performance constraints, error handling), always via red‑green‑refactor.

平台分布

Codex

34.64%
按下载量换算32

Claude

32.17%
按下载量换算29

Cursor

17.22%
按下载量换算16

Gemini CLI

9.11%
按下载量换算8

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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。目前只有一个公开来源,建议同时核对源仓库。

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