ai-fluency

Analyze Claude Code conversations to score AI fluency with the Anthropic 4D framework.

4|1|Updated Jan 17, 2026

Search Tags:#evaluation #data-analytics #claude-code #report-generation #conversation-analysis #ai-fluency #artifact-paradox

Ready to run

npx skills add https://github.com/kkoppenhaver/cc-skills --skill ai-fluency

💬 Prompt for ChatGPT / Claude Chat▼

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

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Analyze Claude Code conversations to measure AI fluency using Anthropic's 4D framework across historical chats.

Core Features & Use Cases

Detects 11 observable behaviors and 7 practical dimensions to score conversations.
Generates per-conversation scores, dimension averages, and population benchmarks.
Outputs an HTML report with artifact paradox checks, strengths, and growth edges.

Quick Start

Provide Claude Code conversation history to analyze and generate the AI Fluency report.

Frequently Asked Questions about ai-fluency

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I analyze Claude Code conversations to measure AI fluency?▼

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.

What is the Anthropic 4D AI Fluency Framework for conversation analysis?▼

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.

Can I generate an HTML report from Claude Code chat history?▼

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.

How do conversation analysis tools handle artifact paradox checks?▼

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.

Does AI fluency evaluation work with multiple historical conversations?▼

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.

What are the limitations of evaluating AI fluency in 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.