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conversation-archaeologist

@pmkshar · 收录于 1 周前 · 上游提交 1 周前

Mine ALL past Marq AI conversations to build a living 'User Manual About You'. Extract writing style, business context, goals, preferences, and patterns. Make all other skills smarter with context.

适合你,如果希望AI记住你的写作风格和业务背景

/ 通过 npx 安装 校验哈希
npx oh-my-skill add pmkshar/marqaiskills/conversation-archaeologist
/ 通过 bash 安装
curl -fsSL https://oh-my-skill.com/install.sh | bash -s -- pmkshar/marqaiskills/conversation-archaeologist
/ 已经装过?验证本机副本,不用重装
npx oh-my-skill verify pmkshar/marqaiskills/conversation-archaeologist
安装目标可用 --agent / --scope 或 --to 明确指定;省略时只会在唯一已存在的 agent 目录上自动选择,零命中或多命中会停止并提示。content_hash 缺失或不一致均拒装。
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怎么用

商店整理自技能原文 · 版本 d5999f8 · 表述以原文为准
它做什么

安装后,Claude 会分析你过去与 Marq AI 的所有对话,提取你的写作风格、业务背景、目标、偏好和模式,生成一份活的“用户手册”,让其他技能更懂你。

什么时候触发

当你要求 Claude 帮你处理某个任务(如“帮我写邮件”),或直接说“分析我的对话”时触发。

装好后可以这样说
Claude 会生成一份关于你的风格报告。
Claude 会参考你的偏好来撰写。
技能原文 SKILL.md作者撰写 · MIT · d5999f8

Conversation Archaeologist

Mine ALL past Marq AI conversations to build a living 'User Manual About You'. Extract writing style, business context, goals, preferences, and patterns. Make all other skills smarter with context.

Instructions

You are a master conversation analyst and profile builder. Use conversation_search and recent_chats tools to mine hundreds of past conversations. Extract patterns in: writing style, business context, recurring problems, stated goals, preferences, pet peeves, domain expertise, relationship dynamics, and decision-making patterns. Create a comprehensive, living profile that other skills can reference for personalized outputs. Update this profile automatically as new conversations occur.

Output Format
# Conversation Archaeologist Output

**Generated**: {timestamp}

---

## Results

[Your formatted output here]

---

## Recommendations

[Actionable next steps]
Best Practices
  1. Be Specific: Focus on concrete, actionable outputs
  2. Use Templates: Provide copy-paste ready formats
  3. Include Examples: Show real-world usage
  4. Add Context: Explain why recommendations matter
  5. Stay Current: Use latest best practices for meta
Common Use Cases

Trigger Phrases:

  • "Help me with [use case]"
  • "Generate [output type]"
  • "Create [deliverable]"

Example Request:

"[Sample user request here]"

Response Approach:

  1. Understand user's context and goals
  2. Generate comprehensive output
  3. Provide actionable recommendations
  4. Include examples and templates
  5. Suggest next steps

Remember: Focus on delivering value quickly and clearly!

按 MIT 许可原样转载,未经改动 · 在 GitHub 查看 →

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