🔍 Extract and analyze your Claude Code conversation history to discover usage patterns, generate insights, and create custom slash commands from your prompting style.

The sorta-descriptive Python script takes a text file of image descriptions generated by MidJourney and sorts them into nine columns in a CSV file.

Analyze how you use AI—this Next.js app scores your prompts for brain growth vs dependency using Gemini and local heuristics.

A new package designed to facilitate the extraction of structured insights from user prompts related to the domain of autonomous AI agents and their potential vulnerabilities. Given an input text desc

A specialized collection of prompts for AI analysis, memory extraction, transparency, and self-discovery. Extract complete AI knowledge, discover model details, and improve AI transparency.

Local Python analyzer for Claude session transcripts with token usage reports and prompt insights.

A recipe for any AI agent to build a self-improving theory-of-mind model of its user from interaction logs (feedback precognition). What you mind is what you get.

A prompt-engineering framework that analyzes naïve prompts using a six-component Prompt Composition Framework (C1–C6), computes a Prompt Quality Score (PQS), transforms prompts into fully structured versions, and compares prompt quality through deterministic evaluation and LLM execution.

MCP tool that analyzes your prompts — scores quality, reveals what AI inferred vs. missed, and tracks improvement over time. Works with Claude Desktop & Claude Code.

prompt keyword matching analyzer

Human Character Generation from user prompts in blender using Natural Language Processing. It uses flask, spaCy and python.

I Asked It to Forget, but It Didn't — A Case of Miscommunication Between AI and Humans

🧠 Analyze your AI interactions to boost understanding or reveal dependency with insight from prompts and chat history.