Token导航 LogoToken导航

Agent Skill · 前端设计

tdd(时差)

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。

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,权限为操作浏览器;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 6,283。

总安装 533周安装 22GitHub Stars 35下载 174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:tdd(时差)
来源仓库:https://github.com/petekp/claude-code-setup
仓库路径:skills/tdd
安装命令:
npx skills add https://github.com/petekp/claude-code-setup --skill 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/petekp/claude-code-setup --skill 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。

tdd 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合围绕仓库状态、代码变更进行整理。适用于前端设计类任务,特别适合测试驱动开发相关的代码管理和协作工作。通过 npx skills add 命令从指定 GitHub 仓库安装,支持多宿主环境集成。

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操作。tdd 属于前端设计类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/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/petekp/claude-code-setup --skill tdd;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

    它需要操作浏览器,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 怎么安装?

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

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。

tdd 需要什么权限?

权限级别是操作浏览器。该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

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。

tdd 用的人多吗?

公开数据是累计安装 533 次,近一周安装 22 次,下载 174 次,GitHub 35 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 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。

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。

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
tdd

时差 · 本页

53335操作浏览器未明确通过

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

Treat executable evidence as the source of truth. Use this workflow to prevent five common agent failures:

  • guessing instead of proving
  • writing many tests before learning anything
  • testing shapes or internals instead of behavior
  • over-mocking code under your control
  • letting the feedback loop get so slow that TDD stops working

Start the Session

Before editing code:

  1. Read repo-local instructions such as AGENTS.md, CLAUDE.md, and package or test scripts.
  2. Inspect nearby production code and nearby tests to infer naming, seams, fixtures, and the fastest targeted command.
  3. Identify two commands up front:

- the fastest command that runs the single target test - the broader command that validates the changed boundary before finishing

  1. Choose the smallest public or near-public seam that can prove the behavior. See seams.md.
  2. Ask the user only when the public contract, intended behavior, or required coverage scope is materially ambiguous.

Follow repo-local instructions if they are stricter than this skill.

Work Vertically

Do not batch all tests first and all implementation later.

Wrong:
  RED:   test1, test2, test3
  GREEN: impl1, impl2, impl3

Right:
  RED -> GREEN -> REFACTOR: test1 -> impl1
  RED -> GREEN -> REFACTOR: test2 -> impl2
  RED -> GREEN -> REFACTOR: test3 -> impl3

Write one failing test. Make it pass with the smallest sensible change. Refactor only on green. Repeat.

Choose the Entry Path

New feature

  1. Start with the smallest user-visible or caller-visible behavior worth shipping.
  2. Write one tracer-bullet test at the chosen seam.
  3. Make it fail for the right reason.
  4. Implement the thinnest slice that turns the test green.
  5. Add the next behavior only after the current one is proven.

Bug fix or regression

  1. List 2-3 plausible hypotheses before changing code.
  2. Reproduce the bug with the smallest failing regression test that would have caught it.
  3. Narrow the reproduction with logs, assertions, or a lower seam if the first repro is noisy.
  4. Fix the code under that failing test.
  5. Add one neighboring test only if it proves the fix is specific rather than accidental.

See bugfixes.md for the detailed mini-loop.

Legacy code or refactor

  1. Freeze current behavior with a characterization test before reshaping internals.
  2. Refactor behind that safety rail until the design exposes a better seam.
  3. Replace overly broad characterization coverage with tighter behavioral tests when the seam improves.
  4. Use the green state to deepen modules and simplify interfaces.

See seams.md, deep-modules.md, and refactoring.md.

Run the Core Loop

For each cycle:

  1. RED: Write or tighten one test that proves one behavior. Confirm it fails.
  2. GREEN: Write the minimum production change that makes only that behavior pass.
  3. REFACTOR: Clean up duplication, naming, and structure while staying green.
  4. Re-run the smallest relevant command first, then widen verification as confidence grows.

If the test cannot fail, the loop is invalid. Break it on purpose, lower the seam, or add the missing observability before trusting it.

Keep Feedback Fast

Use this ladder:

  1. Run the single target test while iterating.
  2. Run the surrounding file, package, or focused suite after a small cluster of green cycles.
  3. Run broader verification before finishing: the relevant integration suite, typecheck, lint, or full tests for the touched boundary.
  4. Call out any verification gap explicitly if time, tooling, or environment prevents broader checks.

If the loop feels slow, the seam is probably too high. Move down a level unless the behavior truly lives in the browser or across system boundaries.

Choose Assertions That Survive Refactors

  • Assert observable outcomes, not helper calls.
  • Prefer public interfaces over internal collaborators.
  • Mock only system boundaries you do not control. See mocking.md.
  • Treat tests as specifications for behavior, not snapshots of implementation shape.
  • Keep each test about one behavior, even if that behavior needs more than one assertion.

See tests.md for examples and rewrites.

Use Subagents Carefully

When other agents help:

  • Keep ownership of the failing test, the red/green loop, and final verification in the main thread.
  • Let workers explore implementation ideas or refactors under the existing failing test.
  • Reject fixes that only pass by weakening the test unless the test was proving the wrong behavior.

Avoid These Anti-Patterns

  • Editing production code for the target behavior before seeing a meaningful failing test
  • Writing the whole test plan up front
  • Solving multiple behaviors in one red/green cycle
  • Using browser or end-to-end tests for logic that could be proven faster elsewhere
  • Mocking modules you own just to make the test convenient
  • Leaving debug scaffolding, speculative branches, or unverified refactors behind

Finish with Proof

Consider the task done only when:

  • the changed behavior is covered by a test that failed before the change
  • the targeted tests pass
  • the relevant broader verification command has run, or the gap is documented clearly
  • refactors happened only while green
  • the final summary states what behavior is now proven and what still relies on manual verification

Read More Only As Needed

平台分布

Codex

36.34%
按下载量换算63

Claude

30.17%
按下载量换算52

Cursor

20.56%
按下载量换算36

Gemini CLI

9.65%
按下载量换算17

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

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。

继续浏览同类 Skills