Proj Resume

Community

zhangloveyan

proj-resume

中断后快速恢复开发进度。用于对话中断后继续开发、新会话接续之前的工作、查看当前开发进度。

Overview

Publisher	zhangloveyan
Repository	`backend-skill`
Skill name	`proj-resume`
Stars	102
Forks	31
Bundled files	Instructions only
License	MIT
Links	Skill source Repository

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 Resume AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/zhangloveyan/backend-skill/tree/main/.claude/skills/proj-resume
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.

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-resume .claude/skills/proj-resume

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Proj Resume 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 Resume 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 Resume 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.

恢复开发

触发词

"继续开发"
"接着做"
"上次做到哪了"
"恢复开发"

执行流程


Step 1: 读取任务文档 → Step 2: 分析进度 → Step 3: 汇报状态 → Step 4: 继续开发

Step 1: 读取任务文档

读取 docs/task/ 下最新的 *_任务.md 文件（如有多个先让用户指定），以全流程任务文档为唯一事实来源。

如果文件不存在：


未找到任务文档。
可能的情况：
1. 还没有创建任务 → 使用 /proj-analyze-req 开始新需求
2. 任务文档路径不对 → 请确认 `docs/task/` 路径

Step 2: 分析进度

从任务文档中提取：

当前功能 - 正在开发的功能名称
方案文档 - 关联的方案文档路径
任务统计 - 各状态任务数量
当前任务 - 状态为 [~] 的任务
下一任务 - 第一个 [ ] 的任务
阻塞任务 - 状态为 [!] 的任务
当前阶段 - 流程状态总览中标记为进行中的阶段
下一步指令 - 上下文快照中的下一动作

Step 3: 汇报状态

markdown
## 开发进度

**当前功能：** {功能名称}
**方案文档：** {路径}

**进度统计：**
- 已完成：{n} 项
- 进行中：{n} 项
- 待处理：{n} 项

**当前阶段：** {阶段名称}

**任务状态：**
- [x] 已完成任务1
- [x] 已完成任务2
- [~] 当前任务3 ← 进行中
- [ ] 待处理任务4

**上次停在：** {当前任务描述}

**下一步指令：** {下一动作}

是否继续开发？

Step 4: 继续开发

用户确认后：

有进行中任务 [~] - 继续完成该任务
无进行中任务 - 将下一个 [ ] 任务标记为 [~]
所有任务已完成 - 询问是否归档或开始新需求

注意事项

先汇报再动手 - 让用户确认后再继续
检查阻塞 - 有阻塞任务要先处理
保持上下文 - 必要时读取方案文档
及时更新 - 恢复后记得更新任务状态

Frequently asked questions

What does the Proj Resume AI skill do?

中断后快速恢复开发进度。用于对话中断后继续开发、新会话接续之前的工作、查看当前开发进度。

Why use Proj Resume on TypingMind?

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

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

Which AI models can use Proj Resume?

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 Resume?

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

Is the Proj Resume 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

恢复开发

触发词

执行流程

Step 1: 读取任务文档

Step 2: 分析进度

Step 3: 汇报状态

Step 4: 继续开发

注意事项

Frequently asked questions

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