ai-fluency-assessment

Analyze conversation logs and questionnaire responses to generate an HTML AI fluency report.

3|Updated Feb 3, 2026
One-click install
npx skills add https://github.com/paolomoz/skills --skill ai-fluency-assessment
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ai-fluency-assessment
Source: https://github.com/paolomoz/skills/tree/main/skills/ai-fluency-assessment
Command: npx skills add https://github.com/paolomoz/skills --skill ai-fluency-assessment

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps users understand and improve their proficiency in interacting with AI models, based on a structured framework.

Core Features & Use Cases

  • Comprehensive Assessment: Analyzes conversation history and uses a self-assessment questionnaire to evaluate AI fluency across multiple dimensions.
  • Actionable Feedback: Generates a detailed HTML report with scores, strengths, and areas for growth.
  • Use Case: A team lead wants to ensure their team is effectively leveraging AI tools. They can use this Skill to assess each member's AI fluency and identify training needs.

Quick Start

Run the AI fluency assessment tool to analyze your Claude Code sessions and generate a report.

Frequently Asked Questions about ai-fluency-assessment

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

FAQPage Schema
How do I assess my AI fluency using conversation logs?

To assess AI fluency, this tool analyzes your Claude Code conversation logs using Anthropic's 4D framework. It runs a heuristic analysis and a self-assessment questionnaire to evaluate your competencies across Delegation, Description, Discernment, and Diligence.

What is Anthropic's 4D framework for AI interaction?

The 4D framework is a structured model for evaluating AI fluency across four dimensions: Delegation, Description, Discernment, and Diligence. This assessment tool uses it to identify specific strengths and areas for improvement in your AI interaction habits.

How do I generate an HTML report of my AI interaction scores?

You generate an AI fluency report by running the assessment script in a Python environment. The script collects conversation data, analyzes it heuristically, and outputs a visual HTML report detailing your scores and actionable feedback.

Do I need Python to run the AI fluency assessment?

Yes, you need a Python environment with specific data collection and reporting libraries installed. The assessment relies on these dependencies to parse conversation logs, run heuristic analysis, and generate the final visual HTML report.

Can I use this assessment to identify AI training needs for a team?

Yes, you can assess team AI fluency by running the tool for each member. It generates individual HTML reports highlighting strengths and areas for growth, allowing team leads to pinpoint specific AI interaction training needs.

What are the limitations of using heuristic analysis for AI fluency?

Heuristic analysis for AI fluency relies on automated conversation log parsing and a self-assessment questionnaire. It provides actionable feedback based on the 4D framework, but accuracy depends on the quality of the input logs and honest self-reporting.