同事.skill

"你们搞大模型的就是码奸，你们已经害死前端兄弟了，还要害死后端兄弟，测试兄弟，运维兄弟，害死网安兄弟，害死ic兄弟，最后害死自己害死全人类"

把同事的技能与性格蒸馏成 AI Skill，让它替他工作。

提供同事的原材料（飞书消息、钉钉文档、邮件、截图）加上你的主观描述
生成一个真正能替他工作的 AI Skill
用他的技术规范写代码，用他的语气回答问题，知道他什么时候会甩锅

安装 · 使用 · 效果示例 · 详细安装说明

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安装

Claude Code

重要：Claude Code 从 git 仓库根目录 的 .claude/skills/ 查找 skill。请在正确的位置执行。

# 安装到当前项目（在 git 仓库根目录执行）
mkdir -p .claude/skills
git clone https://github.com/titanwings/colleague-skill .claude/skills/create-colleague

# 或安装到全局（所有项目都能用）
git clone https://github.com/titanwings/colleague-skill ~/.claude/skills/create-colleague

OpenClaw

git clone https://github.com/titanwings/colleague-skill ~/.openclaw/workspace/skills/create-colleague

依赖（可选）

pip3 install -r requirements.txt

飞书/钉钉自动采集需配置 App 凭证，详见 INSTALL.md

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使用

在 Claude Code 中输入：

/create-colleague

按提示输入同事姓名、公司职级（如 字节 2-1 算法工程师）、性格标签，然后选择数据来源。所有字段均可跳过，仅凭描述也能生成。

完成后用 /{slug} 调用该同事 Skill。

管理命令

命令	说明
/list-colleagues	列出所有同事 Skill
/{slug}	调用完整 Skill（Persona + Work）
/{slug}-work	仅工作能力
/{slug}-persona	仅人物性格
/colleague-rollback {slug} {version}	回滚到历史版本
/delete-colleague {slug}	删除

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效果示例

输入：字节 2-1 后端工程师，INTJ，甩锅高手，字节范

场景一：Code Review

用户      ❯ 帮我看一下这个接口设计

同事.skill ❯ 等等，这个接口的 impact 是什么？背景没说清楚。
             （看完后）N+1 查询，改掉。返回结构用统一的
             {code, message, data}，这是规范，不用问为什么。

场景二：甩锅

用户      ❯ 这个 bug 是你引入的吧

同事.skill ❯ 上线时间对上了吗？那个需求改了好几个地方，还有其他变更。

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功能特性

数据采集

自动采集（推荐，输入姓名即可）

平台	消息记录	文档 / Wiki	多维表格	备注
飞书	✅ API	✅	✅	全自动，无需手动操作
钉钉	⚠️ 浏览器	✅	✅	钉钉 API 不支持历史消息

手动上传：PDF 图片 飞书 JSON 导出 邮件 .eml/.mbox Markdown 直接粘贴文字

生成的 Skill 结构

每个同事 Skill 由两部分组成，共同驱动输出：

部分	内容
Part A — Work Skill	负责系统、技术规范、工作流程、经验知识库
Part B — Persona	5 层性格结构：硬规则 → 身份 → 表达风格 → 决策模式 → 人际行为

运行逻辑：接到任务 → Persona 判断态度 → Work Skill 执行 → 用他的语气输出

支持的标签

个性：认真负责 · 甩锅高手 · 完美主义 · 差不多就行 · 拖延症 · PUA 高手 · 职场政治玩家 · 向上管理专家 · 阴阳怪气 · 反复横跳 · 话少 · 只读不回 …

企业文化：字节范 · 阿里味 · 腾讯味 · 华为味 · 百度味 · 美团味 · 第一性原理 · OKR 狂热者 · 大厂流水线 · 创业公司派

职级支持：字节 2-13-3+ · 阿里 P5P11 · 腾讯 T1T4 · 百度 T5T9 · 美团 P4P8 · 华为 1321 级 · 网易 · 京东 · 小米 …

进化机制

• 追加文件 → 自动分析增量 → merge 进对应部分，不覆盖已有结论
• 对话纠正 → 说「他不会这样，他应该是 xxx」→ 写入 Correction 层，立即生效
• 版本管理 → 每次更新自动存档，支持回滚到任意历史版本

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项目结构

本项目遵循 AgentSkills 开放标准，整个 repo 就是一个 skill 目录：

create-colleague/
├── SKILL.md              # skill 入口（官方 frontmatter）
├── prompts/              # Prompt 模板
│   ├── intake.md         #   对话式信息录入
│   ├── work_analyzer.md  #   工作能力提取
│   ├── persona_analyzer.md #  性格行为提取（含标签翻译表）
│   ├── work_builder.md   #   work.md 生成模板
│   ├── persona_builder.md #   persona.md 五层结构模板
│   ├── merger.md         #   增量 merge 逻辑
│   └── correction_handler.md # 对话纠正处理
├── tools/                # Python 工具
│   ├── feishu_auto_collector.py  # 飞书全自动采集
│   ├── feishu_browser.py         # 飞书浏览器方案
│   ├── feishu_mcp_client.py      # 飞书 MCP 方案
│   ├── dingtalk_auto_collector.py # 钉钉全自动采集
│   ├── email_parser.py           # 邮件解析
│   ├── skill_writer.py           # Skill 文件管理
│   └── version_manager.py        # 版本存档与回滚
├── colleagues/           # 生成的同事 Skill（gitignored）
├── docs/PRD.md
├── requirements.txt
└── LICENSE

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注意事项

• 原材料质量决定 Skill 质量：聊天记录 + 长文档 > 仅手动描述
• 建议优先收集：他主动写的长文 > 决策类回复 > 日常消息
• 飞书自动采集需将 App bot 加入相关群聊
• 目前还是一个demo版本，如果有bug请多多提issue！

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MIT License © titanwings

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colleague.skill

"You AI guys are traitors to the codebase — you've already killed frontend, now you're coming for backend, QA, ops, infosec, chip design, and eventually yourselves and all of humanity"

Distill a colleague's skills and personality into an AI Skill that works like them.

Provide source materials (Feishu messages, DingTalk docs, emails, screenshots)
plus your subjective description of the person
and get an AI Skill that actually works like them

Install · Usage · Demo · Detailed Install

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Install

Claude Code

Important

: Claude Code looks for skills in .claude/skills/ at the git repo root. Make sure you run this in the right place.

# Install to current project (run at git repo root)
mkdir -p .claude/skills
git clone https://github.com/titanwings/colleague-skill .claude/skills/create-colleague

# Or install globally (available in all projects)
git clone https://github.com/titanwings/colleague-skill ~/.claude/skills/create-colleague

OpenClaw

git clone https://github.com/titanwings/colleague-skill ~/.openclaw/workspace/skills/create-colleague

Dependencies (optional)

pip3 install -r requirements.txt

Feishu/DingTalk auto-collection requires App credentials. See INSTALL.md for details.

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Usage

In Claude Code, type:

/create-colleague

Follow the prompts: enter an alias, company/level (e.g. ByteDance L2-1 backend engineer), personality tags, then choose a data source. All fields can be skipped — even a description alone can generate a Skill.

Once created, invoke the colleague Skill with /{slug}.

Commands

Command	Description
/list-colleagues	List all colleague Skills
/{slug}	Invoke full Skill (Persona + Work)
/{slug}-work	Work capabilities only
/{slug}-persona	Persona only
/colleague-rollback {slug} {version}	Rollback to a previous version
/delete-colleague {slug}	Delete

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Demo

Input: ByteDance L2-1 backend engineer, INTJ, blame-shifter, ByteDance-style

Scenario 1: Code Review

User            ❯ Can you review this API design?

colleague.skill ❯ Hold on — what's the impact? You haven't explained the context.
                  (after reading) N+1 query, fix it. Use the standard
                  {code, message, data} response format. That's the spec,
                  don't ask why.

Scenario 2: Blame game

User            ❯ This bug was introduced by you, right?

colleague.skill ❯ Does the timeline match? That feature touched multiple places,
                  there were other changes too.

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Features

Data Collection

Auto-collect (recommended — just enter a name)

Platform	Messages	Docs / Wiki	Spreadsheets	Notes
Feishu	✅ API	✅	✅	Fully automatic
DingTalk	⚠️ Browser	✅	✅	DingTalk API doesn't support message history

Manual upload: PDF Images Feishu JSON export Email .eml/.mbox Markdown Paste text

Generated Skill Structure

Each colleague Skill has two parts that work together:

Part	Content
Part A — Work Skill	Systems, tech standards, workflows, experience
Part B — Persona	5-layer personality: hard rules → identity → expression → decisions → interpersonal

Execution: Receive task → Persona decides attitude → Work Skill executes → Output in their voice

Supported Tags

Personality: Responsible · Blame-shifter · Perfectionist · Good-enough · Procrastinator · PUA master · Office politician · Managing-up expert · Passive-aggressive · Flip-flopper · Quiet · Read-no-reply …

Corporate culture: ByteDance-style · Alibaba-style · Tencent-style · Huawei-style · Baidu-style · Meituan-style · First-principles · OKR-obsessed · Big-corp-pipeline · Startup-mode

Levels: ByteDance 2-13-3+ · Alibaba P5P11 · Tencent T1T4 · Baidu T5T9 · Meituan P4P8 · Huawei 1321 · NetEase · JD · Xiaomi …

Evolution

• Append files → auto-analyze delta → merge into relevant sections, never overwrite existing conclusions
• Conversation correction → say "he wouldn't do that, he should be xxx" → writes to Correction layer, takes effect immediately
• Version control → auto-archive on every update, rollback to any previous version

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Project Structure

This project follows the AgentSkills open standard. The entire repo is a skill directory:

create-colleague/
├── SKILL.md              # Skill entry point (official frontmatter)
├── prompts/              # Prompt templates
│   ├── intake.md         #   Dialogue-based info collection
│   ├── work_analyzer.md  #   Work capability extraction
│   ├── persona_analyzer.md #  Personality extraction (with tag translation)
│   ├── work_builder.md   #   work.md generation template
│   ├── persona_builder.md #   persona.md 5-layer structure
│   ├── merger.md         #   Incremental merge logic
│   └── correction_handler.md # Conversation correction handler
├── tools/                # Python tools
│   ├── feishu_auto_collector.py  # Feishu auto-collector
│   ├── feishu_browser.py         # Feishu browser method
│   ├── feishu_mcp_client.py      # Feishu MCP method
│   ├── dingtalk_auto_collector.py # DingTalk auto-collector
│   ├── email_parser.py           # Email parser
│   ├── skill_writer.py           # Skill file management
│   └── version_manager.py        # Version archive & rollback
├── colleagues/           # Generated colleague Skills (gitignored)
├── docs/PRD.md
├── requirements.txt
└── LICENSE

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Notes

• Source material quality = Skill quality: chat logs + long docs > manual description only
• Prioritize collecting: long-form writing by them > decision-making replies > casual messages
• Feishu auto-collection requires adding the App bot to relevant group chats
• This is still a demo version — please file issues if you find bugs!

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MIT License © titanwings