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Proj Change

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zhangloveyan
proj-change

处理开发过程中的需求变更。用于开发过程中需求有调整、需要新增/删除/修改功能点、方案确认后发现遗漏。

Overview

Publisherzhangloveyan
Repositorybackend-skill
Skill nameproj-change
Stars
102
Forks
31
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

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

Installation

Install the Proj Change 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/zhangloveyan/backend-skill/tree/main/.claude/skills/proj-change
  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/zhangloveyan/backend-skill.git /tmp/backend-skill
mkdir -p .claude/skills
cp -r /tmp/backend-skill/.claude/skills/proj-change .claude/skills/proj-change
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Proj Change 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 Proj Change 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 Proj Change 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.

需求变更

触发词

  • "需求变了"
  • "再加个字段"
  • "这个不要了"
  • "改一下"

执行流程

Step 0: 校验任务文档 → Step 1: 记录变更 → Step 2: 评估影响 → Step 3: 确认变更 → Step 4: 更新文档 → Step 5: 继续开发

Step 0: 校验任务文档

  • 确认全流程任务文档存在
  • 若缺失,先创建任务文档骨架并补齐流程状态与上下文快照

Step 1: 记录变更

markdown
## 变更记录

**变更类型:** 新增 / 修改 / 删除
**变更描述:** {具体描述}
**变更原因:** {为什么要改}

Step 2: 评估影响

markdown
## 影响分析

**影响范围:**
- [ ] 数据库表结构
- [ ] Entity 实体类
- [ ] Mapper
- [ ] Service
- [ ] DTO
- [ ] Controller

**影响文件:**
- 需修改:{文件列表}
- 需新增:{文件列表}
- 需删除:{文件列表}

**风险评估:**
- 是否影响已有数据:是/否
- 是否影响其他功能:是/否

Step 3: 确认变更

向用户确认:

  • 变更内容
  • 影响范围
  • 注意事项

Step 4: 更新文档

更新方案文档(如有)

markdown
## 变更记录

| 日期 | 变更内容 | 原因 |
|------|----------|------|
| 2025-01-15 | 新增 phone 字段 | 需要记录手机号 |

更新任务文档

markdown
仅记录变更状态、产物路径与下一步指令,不写实现细节

同步更新:

  • 流程状态总览中标记“业务开发/任务拆分”为进行中
  • 产物清单记录需求/方案文档更新路径
  • 上下文快照记录“变更中”与风险/阻塞
  • 下一步指令指向具体变更开发任务

常见变更影响

变更类型影响范围
加字段表结构、Entity、DTO
改字段类型表结构、Entity、DTO、Service
加接口Service、Controller、可能需要新 DTO
删功能可能涉及多层代码删除

注意事项

  1. 先评估后执行 - 不要直接改代码
  2. 记录变更历史 - 在方案文档中记录
  3. 更新任务列表 - 变更产生的任务要加入列表(仅记录状态与简述)
  4. 标记变更任务 - 用 [变更] 前缀标识
  5. 注意数据兼容 - 涉及数据库的变更要考虑已有数据
  6. 任务文档同步 - 全程维护流程状态、产物清单、上下文快照、下一步指令

Frequently asked questions

What does the Proj Change AI skill do?

处理开发过程中的需求变更。用于开发过程中需求有调整、需要新增/删除/修改功能点、方案确认后发现遗漏。

Why use Proj Change on TypingMind?

Because you install it once and use it with any model. Proj Change 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 Proj Change in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/zhangloveyan/backend-skill/tree/main/.claude/skills/proj-change. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Proj Change?

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 Proj Change?

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

Is the Proj Change AI skill free?

Yes. It is published on GitHub by zhangloveyan 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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