prompt-review

Analyzing past AI dialogue history for prompting patterns and AI dependence involves collecting and integrating past agent interactions across all projects, estimating technical understanding, and generating a Japanese review report. This Skill evaluates your dialogue history to visualize prompting patterns and AI dependence metrics.

Filtering dialogue analysis by specific project and date range is supported by this Skill. It performs data extraction based on specified period and project filters, narrowing the technical understanding and AI dependence assessment to targeted project interactions before generating the localized report.

Generating a prompt review report from agent conversation logs is best achieved by running the included data collection script to aggregate past dialogues, then leveraging frontmatter configuration to guide the analysis. This produces a Japanese markdown report saved with a timestamp to your reports directory.

Technical understanding estimation in dialogue analysis works by identifying and summarizing the user's past agent dialogues to assess prompting patterns and AI dependence levels. The Skill evaluates your interaction history across projects to map your technical comprehension and reliance on AI-generated responses.

No external dependencies are required to run the prompt analysis and report generation script. The Skill operates autonomously with its bundled scripts and reference components, collecting dialogue data and producing the Japanese markdown report without requiring additional packages.

The prompt review report uses markdown format for output, specifically saved as a Japanese-language file named prompt-review-YYYY-MM-DD.md in the reports directory. This standardized markdown structure ensures the technical understanding, prompting patterns, and AI dependence analysis are documented readably.