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incremental-tdd增量 TDD

Agent Skill

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。

总安装

259

周安装

11

GitHub Stars

6

下载量

91
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

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

简介

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。

SKILL.md

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.

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

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。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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