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。
Best use case
thought-mining is best used when you need a repeatable AI agent workflow instead of a one-off prompt. It is especially useful for teams working in multi. 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。
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。
Users should expect a more consistent workflow output, faster repeated execution, and less time spent rewriting prompts from scratch.
Practical example
Example input
Use the "thought-mining" skill to help with this workflow task. Context: 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。
Example output
A structured workflow result with clearer steps, more consistent formatting, and an output that is easier to reuse in the next run.
When to use this skill
- Use this skill when you want a reusable workflow rather than writing the same prompt again and again.
When not to use this skill
- Do not use this when you only need a one-off answer and do not need a reusable workflow.
- Do not use it if you cannot install or maintain the related files, repository context, or supporting tools.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/thought-mining/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How thought-mining Compares
| Feature / Agent | thought-mining | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this 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。
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# 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
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