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onewave-ai avatar

Conversation Archaeologist

onewave-ai/claude-skills
296 installs244 stars
Summary

This mines your entire Claude conversation history to build a persistent profile of how you write, what you work on, your preferences, and recurring patterns. It uses conversation search tools to extract everything from your stated goals to your pet peeves, then creates a living manual that other skills can reference for better personalization. The idea is solid: instead of re-explaining your context every time, you get a layer of memory that compounds. In practice, how well it works depends on how much conversation history you have and whether you actually feed that profile into your other workflows. Best for power users who live in Claude and want their tools to gradually get smarter about them.

Install to Claude Code

npx -y skills add onewave-ai/claude-skills --skill conversation-archaeologist --agent claude-code

Installs into .claude/skills of the current project.

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Files
SKILL.mdView on GitHub

Conversation Archaeologist

Mine ALL past Claude 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!

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Categories
DevOps & CI/CDDocumentationCode Review & Quality
First SeenJun 3, 2026
View on GitHub

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