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Mind-Cloning-Engineering

作者 yzfly · yzfly/Mind-Cloning-Engineering

Capture a person's reasoning style — principles, taste, decision patterns — into an LLM-native Agent Skill you can converse with.

MCE (Mind Cloning Engineering) is a framework for turning a specific human's thinking style into a reusable agent skill. Instead of 'here's a persona prompt', MCE separates principles, lexicon, decision heuristics, and characteristic examples into structured layers that the model grounds in.

为什么要用

核心特性

实时演示

实际使用效果

mind-cloning-engineering-skill.replay ▶ 就绪
0/0

安装

选择你的客户端

~/Library/Application Support/Claude/claude_desktop_config.json  · Windows: %APPDATA%\Claude\claude_desktop_config.json
{
  "mcpServers": {
    "mind-cloning-engineering-skill": {
      "command": "git",
      "args": [
        "clone",
        "https://github.com/yzfly/Mind-Cloning-Engineering",
        "~/.claude/skills/Mind-Cloning-Engineering"
      ],
      "_inferred": true
    }
  }
}

打开 Claude Desktop → Settings → Developer → Edit Config。保存后重启应用。

~/.cursor/mcp.json · .cursor/mcp.json
{
  "mcpServers": {
    "mind-cloning-engineering-skill": {
      "command": "git",
      "args": [
        "clone",
        "https://github.com/yzfly/Mind-Cloning-Engineering",
        "~/.claude/skills/Mind-Cloning-Engineering"
      ],
      "_inferred": true
    }
  }
}

Cursor 使用与 Claude Desktop 相同的 mcpServers 格式。项目级配置优先于全局。

VS Code → Cline → MCP Servers → Edit
{
  "mcpServers": {
    "mind-cloning-engineering-skill": {
      "command": "git",
      "args": [
        "clone",
        "https://github.com/yzfly/Mind-Cloning-Engineering",
        "~/.claude/skills/Mind-Cloning-Engineering"
      ],
      "_inferred": true
    }
  }
}

点击 Cline 侧栏中的 MCP Servers 图标,然后选 "Edit Configuration"。

~/.codeium/windsurf/mcp_config.json
{
  "mcpServers": {
    "mind-cloning-engineering-skill": {
      "command": "git",
      "args": [
        "clone",
        "https://github.com/yzfly/Mind-Cloning-Engineering",
        "~/.claude/skills/Mind-Cloning-Engineering"
      ],
      "_inferred": true
    }
  }
}

格式与 Claude Desktop 相同。重启 Windsurf 生效。

~/.continue/config.json
{
  "mcpServers": [
    {
      "name": "mind-cloning-engineering-skill",
      "command": "git",
      "args": [
        "clone",
        "https://github.com/yzfly/Mind-Cloning-Engineering",
        "~/.claude/skills/Mind-Cloning-Engineering"
      ]
    }
  ]
}

Continue 使用服务器对象数组,而非映射。

~/.config/zed/settings.json
{
  "context_servers": {
    "mind-cloning-engineering-skill": {
      "command": {
        "path": "git",
        "args": [
          "clone",
          "https://github.com/yzfly/Mind-Cloning-Engineering",
          "~/.claude/skills/Mind-Cloning-Engineering"
        ]
      }
    }
  }
}

加入 context_servers。Zed 保存后热重载。

claude mcp add mind-cloning-engineering-skill -- git clone https://github.com/yzfly/Mind-Cloning-Engineering ~/.claude/skills/Mind-Cloning-Engineering

一行命令搞定。用 claude mcp list 验证,claude mcp remove 卸载。

使用场景

实战用法: Mind-Cloning-Engineering

Capture a mentor's reasoning and have it review your work

👤 Anyone with access to a mentor's writing / talks / recorded advice ⏱ ~120 min advanced

何时使用: You want that mentor's lens available even when they're not.

前置条件
  • Source material from the mentor — Collect essays, talk transcripts, emails, recorded conversations (with consent)
  • Skill installed — git clone https://github.com/yzfly/Mind-Cloning-Engineering ~/.claude/skills/Mind-Cloning-Engineering
步骤
  1. Extract layers
    Use Mind-Cloning-Engineering. From these essays, extract: core principles, recurring lexicon, decision heuristics, and 5 exemplar choices.✓ 已复制
    → Four layered documents, not a generic persona blob
  2. Package as a skill
    Assemble into a skill folder with SKILL.md that references these layers.✓ 已复制
    → Ready-to-install skill directory
  3. Consult the clone
    I'm considering [decision]. Review through the lens of this clone — what would the heuristics and principles suggest?✓ 已复制
    → Specific references to principles, not generic 'consider...'

结果: A reusable advisor grounded in real material, not a vibe.

注意事项
  • Treating the clone as the real mentor — It's an approximation. Use for framing, not final calls. Respect the real person's actual current views.
搭配使用: filesystem

Externalize your own thinking style as a checklist skill

👤 Senior practitioners wanting to codify their own taste ⏱ ~60 min intermediate

何时使用: You keep making the same kinds of good decisions and want them explicit.

步骤
  1. Mine your own artifacts
    Use Mind-Cloning-Engineering on my past design docs and PR comments in docs/. Extract my recurring principles and heuristics.✓ 已复制
    → A structured doc of your own patterns
  2. Use as a self-review tool
    Review this draft using the clone of my own principles. What would I flag if a teammate submitted this?✓ 已复制
    → Concrete flags rooted in your own rules

结果: You catch your own blind spots from a second angle.

注意事项
  • Clone becomes an echo chamber — Periodically refresh with new material; your thinking evolves

组合

与其他 MCP 搭配,撬动十倍杠杆

mind-cloning-engineering-skill + filesystem

Organize multiple clones in a library

Maintain clones/ with one folder per cloned mind.✓ 已复制

工具

此 MCP 暴露的能力

工具输入参数何时调用成本
extract_principles source documents Starting a clone 0
extract_lexicon source documents Voice capture 0
extract_heuristics decisions + outcomes Capturing decision patterns 0
assemble_skill all layers Packaging 0

成本与限制

运行它的成本

API 配额
None
每次调用 Token 数
High during extraction (reads lots of source), low during consultation
费用
Free
提示
Extract once carefully, consult cheaply for months.

安全

权限、密钥、影响范围

凭据存储: None
数据出站: Source material goes through Claude API during extraction

故障排查

常见错误与修复

Clone feels generic

Source material too thin or too formal; add more informal artifacts (emails, chat, off-the-cuff)

Clone contradicts the real person

Flag and update; principles should be refreshed periodically

替代方案

Mind-Cloning-Engineering 对比其他方案

替代方案何时用它替代权衡
System prompt personaYou only need a quick vibe matchNo structural grounding, drifts fast
Fine-tuning a model on the personYou have lots of data and deep pocketsExpensive, opaque, harder to edit

更多

资源

📖 阅读 GitHub 上的官方 README

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