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Cs Clean Code

Community
ChenShuo2004
cs-clean-code

整理代码、重构、审查实现、修复已定位问题或同步开发文档时使用。聚焦需求与业务行为、最小修改和本地验证;Git 或部署收尾由 cs-ending-time 处理。

Overview

PublisherChenShuo2004
Repositorycs-skills
Skill namecs-clean-code
Stars
204
Forks
21
Bundled files
2
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.

  • 2 bundled files

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

  • Open source

    Published by ChenShuo2004 on GitHub. Read the source before you install it.

Installation

Install the Cs Clean Code 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.
    https://github.com/ChenShuo2004/cs-skills/tree/main/cs-clean-code
  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/ChenShuo2004/cs-skills.git /tmp/cs-skills
mkdir -p .claude/skills
cp -r /tmp/cs-skills/cs-clean-code .claude/skills/cs-clean-code
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Cs Clean Code 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 Cs Clean Code 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 Cs Clean Code 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.

CS Clean Code

让实现符合需求,降低维护成本。保留现有框架、公共接口与用户改动;不为风格一致重写可用模块。

先定位再修改

读取拥有该行为的代码、相关项目指令、测试和错误证据。Bug 先复现或找到可追溯的失败路径,再解释原因和最小修复。

明确请求是审查还是修改:只要求 review 时给发现,不自动修复;要求整理、修复时直接执行。可推断的命名、目录和实现细节自行决定。

按风险选择工作量

  • 小范围重命名、删重复、文案或注释调整:直接修改并检查 diff,不强制计划卡或新增测试。
  • 行为修改:从输入、状态变化到输出追踪一条业务路径,覆盖本次缺陷与相关失败条件;复用已有测试。
  • 跨模块重构、迁移或多项验收:用简短诊断记录说明原因、影响范围、接口约束和验证方案。需要时参考 review checklist。

公共接口变化若已在用户要求内,继续实现兼容或迁移方案;只有会超出约定范围、损失用户数据或破坏他人工作且无法隔离时才需要决定。请求确认之前先完成不依赖该决定的工作。

修改与验证

沿用现有组件和依赖。修复真正拥有逻辑的模块;更新因本次行为变化失效的文档、命令或示例,不写无关历史说明。

每个行为修改保留“需求 → 修改 → 验证”的证据,可以是一段说明,不强制表格。按影响运行针对性测试、类型检查或构建;UI 行为需要真实交互证据。通过必需检查后即交付,只有新改动、失败或未解假设才扩大检查。

测试应能发现实际回归,不为可逆的小改动编写重复实现的测试。不因工具缺失冒充通过:报告失败命令、原因及仍未验证的行为。

交付

说明改了什么、原因、实际验证和剩余阻塞。Bug 修复补一句如何避免再次发生。审查以有证据的发现及文件位置开头。

只请求本地整理时不扩大为发布。若用户已要求“整理后提交/推送”,本地验证完成后继续 $cs-ending-time,沿用已有授权;若用户明确“确认后再提交”,在该处停下。

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 Cs Clean Code AI skill do?

整理代码、重构、审查实现、修复已定位问题或同步开发文档时使用。聚焦需求与业务行为、最小修改和本地验证;Git 或部署收尾由 cs-ending-time 处理。

Why use Cs Clean Code on TypingMind?

Because you install it once and use it with any model. Cs Clean Code 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 Cs Clean Code in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ChenShuo2004/cs-skills/tree/main/cs-clean-code. 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 Cs Clean Code?

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 Cs Clean Code?

As many as you like. As long as a model supports skills, you can use Cs Clean Code with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Cs Clean Code AI skill free?

Yes. It is published on GitHub by ChenShuo2004 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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