Analyze Claude Code conversations to score AI fluency with the Anthropic 4D framework.
npx skills add https://github.com/kkoppenhaver/cc-skills --skill ai-fluency
Please help me install this Agent Skill. Skill: ai-fluency Source: https://github.com/kkoppenhaver/cc-skills/tree/main/ai-fluency Command: npx skills add https://github.com/kkoppenhaver/cc-skills --skill ai-fluency
Analyze Claude Code conversations to measure AI fluency using Anthropic's 4D framework across historical chats.
Provide Claude Code conversation history to analyze and generate the AI Fluency report.
High-intent search queries and answers about installing and using this skill.
You can measure AI fluency in Claude Code conversations by providing chat history to detect observable behaviors and diligence signals, then computing per-conversation scores and dimension averages to generate an HTML report.
The Anthropic 4D AI Fluency Framework is a methodology to quantify AI fluency by evaluating 11 observable behaviors and 7 practical dimensions across user messages, producing dimension averages and population benchmarks.
Yes, you can generate an HTML report from Claude Code chat history that includes artifact paradox checks, per-conversation scores, population benchmarks, strengths, and growth edges derived from the conversation analysis.
Conversation analysis tools handle artifact paradox checks by evaluating specific signals within user messages against the Anthropic 4D framework, ensuring accurate detection of observable behaviors and diligence signals.
Yes, AI fluency evaluation works with multiple historical conversations to compute population benchmarks and dimension averages, providing a comprehensive view of strengths and growth edges across your chat history.
Evaluating AI fluency in chat history requires Claude Code conversations as input; without historical user messages to analyze for observable behaviors and diligence signals, it cannot generate scores or HTML reports.
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