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prompt-review

Analyze past AI agent dialogue histories and write a dated report.

Updated Mar 15, 2026
Search Tags:#analysis#report-generation#prompting-patterns#prompt-review#dialogue-analysis#ai-history
One-click install
npx skills add https://github.com/kage1020/dotfiles --skill prompt-review-kage1020
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: prompt-review
Source: https://github.com/kage1020/dotfiles/tree/main/dot_claude/skills/prompt-review
Command: npx skills add https://github.com/kage1020/dotfiles --skill prompt-review-kage1020

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

このスキルは、過去のAIエージェント対話履歴を分析して、技術理解度・プロンプティングパターン・AI依存度を推定し、レポートとして出力する問題解決を実現します。

Core Features & Use Cases

  • 過去の対話履歴を読み取り、技術的理解度・プロンプト設計のパターン・AI依存度を評価
  • プロジェクト横断・ツール横断でのデータ収集と一元レポートの生成
  • レポートは reports/prompt-review-YYYY-MM-DD.md の形式で出力され、後から参照可能
  • 引数処理（ days, project など）を用いたフィルタリングと分析の絞り込み

Quick Start

このスキルを有効化し、任意の引数を指定して実行してください。

Frequently Asked Questions about prompt-review

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

FAQPage Schema
How do I analyze AI agent dialogue history to evaluate prompting patterns?▼

You can analyze AI agent dialogue history to evaluate prompting patterns by reading past interactions to estimate technical understanding, prompt design habits, and AI dependency. This skill processes histories from multiple coding agents and outputs a markdown report.

What is the best way to generate a report from past Cursor and Claude Code chat logs?▼

The best way to generate a report from Cursor and Claude Code chat logs is by collecting cross-tool dialogue data to analyze prompting patterns. The system writes a consolidated review of technical understanding and AI dependency to a dated markdown file.

Can I filter dialogue analysis by specific days or projects?▼

You can filter dialogue analysis by specific days or projects. The skill supports argument processing for days and project parameters, allowing you to narrow down the data collection and analysis scope before generating the report.

Does dialogue analysis work with Cline, Roo Code, and Windsurf histories?▼

Dialogue analysis works with Cline, Roo Code, and Windsurf histories. The skill supports multiple sources including Claude Code, Copilot Chat, Cursor, Cline, Roo Code, Windsurf, Antigravity, and OpenCode for cross-platform data collection.

Where are the generated prompt review reports saved?▼

Generated prompt review reports are saved as markdown files in the reports directory. The output file follows the prompt-review-YYYY-MM-DD.md naming format, ensuring reports are dated and available for later reference.

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