prompt-review

To analyze past AI dialogue histories for prompting patterns, this Skill scans logs from tools like Claude Code, Cursor, and GitHub Copilot Chat to estimate your technical understanding, prompting habits, and AI dependency, outputting a structured review report.

Generating a report on AI dependency from chat logs involves scanning cross-tool dialogue histories to evaluate your reliance on AI. This Skill normalizes data from multiple AI agents and produces a Japanese markdown report detailing your estimated dependency level.

Yes, you can review conversation logs from different AI coding agents in one place. This Skill acquires and normalizes dialogue histories across Claude Code, GitHub Copilot Chat, Cursor, Cline, Roo Code, Windsurf, Antigravity, Gemini CLI, OpenAI Codex, and OpenCode.

Diagnosing your technical understanding from AI agent interactions requires analyzing your past prompts and dialogue context. This Skill evaluates your historical logs to estimate your technical comprehension and outputs the findings to a dated markdown file.

The prompt review report currently supports only Japanese output. After analyzing your cross-tool AI dialogue histories, the Skill writes the structured findings and insights to a markdown file named with the current date in Japanese.

To generate an AI log analysis report for your coding workflows, you need accessible past dialogue histories from supported AI agents. The Skill parses these logs, performs argument analysis and data collection, and generates a structured review without external dependencies.