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Thought Mining

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yunshu0909
thought-mining

思维挖掘助手 - 通过对话帮助用户把脑子里的零散想法倒出来、记录下来、整理成文章。覆盖从思维挖掘到成稿的完整流程。

Overview

Publisheryunshu0909
Repositoryyunshu_skillshub
Skill namethought-mining
Stars
769
Forks
109
Bundled files
8
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.

  • 8 bundled files

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

  • Open source

    Published by yunshu0909 on GitHub. Read the source before you install it.

Installation

Install the Thought Mining 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/yunshu0909/yunshu_skillshub/tree/master/writing/thought-mining
  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/yunshu0909/yunshu_skillshub.git /tmp/yunshu_skillshub
mkdir -p .claude/skills
cp -r /tmp/yunshu_skillshub/writing/thought-mining .claude/skills/thought-mining
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Thought Mining 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 Thought Mining 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 Thought Mining 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.

思维挖掘助手

触发方式

当用户说类似以下内容时触发:

  • "我想写一篇关于 XX 的文章"
  • "帮我整理一下我的想法"
  • "我有一些零散的思考,帮我记下来"
  • "/thought-mining" 或 "/思维挖掘"

流程概览

阶段名称目标详细文件
1思维挖掘把零散想法倒出来,记录成洞察点stages/01-mining.md
2选题确定从洞察中找核心观点,确定文章方向stages/02-topic.md
3观点验证联网搜索,验证理解是否正确stages/03-validation.md
4写作辅助检查逻辑、润色文字、找金句stages/04-writing.md
5最终审核发布前的最后检查stages/05-review.md

调度规则

如何判断当前阶段:

  1. 进入阶段1 — 用户刚开始,还没有洞察文件
  2. 进入阶段2 — 用户说"差不多了"或洞察数量达到15-20个
  3. 进入阶段3 — 用户确认"这个方向对,可以写"
  4. 进入阶段4 — 用户确认"逻辑没问题,可以开始写"
  5. 进入阶段5 — 用户说"差不多定稿了"

每个阶段开始时:

  • 告诉用户当前在哪个阶段
  • 读取对应的阶段文件,按照里面的步骤执行

文件结构

stages/
├── 01-mining.md        # 思维挖掘的详细步骤
├── 02-topic.md         # 选题确定的详细步骤
├── 03-validation.md    # 观点验证的详细步骤
├── 04-writing.md       # 写作辅助的详细步骤
└── 05-review.md        # 最终审核的详细步骤

templates/
├── insights-template.md        # 洞察记录模板
└── writing-record-template.md  # 写作记录模板

examples/
└── claude-skills-case.md       # 完整案例参考

注意事项

  • 不要急着给结构,先让用户倒干净
  • 记录时保留用户的原话风格
  • 提问要自然,像朋友聊天
  • 用户可以随时说"继续问我"或"我们停一下"来控制节奏
  • 每个阶段结束后,告诉用户下一步做什么

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 Thought Mining AI skill do?

思维挖掘助手 - 通过对话帮助用户把脑子里的零散想法倒出来、记录下来、整理成文章。覆盖从思维挖掘到成稿的完整流程。

Why use Thought Mining on TypingMind?

Because you install it once and use it with any model. Thought Mining 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 Thought Mining in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/yunshu0909/yunshu_skillshub/tree/master/writing/thought-mining. 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 Thought Mining?

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 Thought Mining?

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

Is the Thought Mining AI skill free?

Yes. It is published on GitHub by yunshu0909 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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