Extract human-readable content from Claude Code session JSONL files into structured retrospective reports.
npx skills add https://github.com/htlin222/dotfiles --skill retro-htlin222
Please help me install this Agent Skill. Skill: retro Source: https://github.com/htlin222/dotfiles/tree/main/claude.symlink/skills/retro Command: npx skills add https://github.com/htlin222/dotfiles --skill retro-htlin222
This Skill helps you understand and improve your AI coding sessions by providing a structured retrospective, identifying areas for efficiency, and suggesting learning opportunities.
Run the retro skill to generate a summary of the current Claude Code session.
High-intent search queries and answers about installing and using this skill.
To generate a retrospective report from a Claude Code session, run the skill to extract human-readable content from the JSONL file. It analyzes accomplishments, efficiency, and learning recommendations, outputting structured reports in markdown, JSON, or plain text formats.
Session review in AI coding is the process of analyzing conversation history to identify workflow improvements. You need it after complex debugging sessions to understand what was achieved, pinpoint prompt inefficiencies, and get suggestions for future learning and documentation updates.
Yes, you can export your Claude Code session review as JSON with optional timestamps and statistics. The skill extracts human-readable content and supports multiple output formats, including JSON, to provide a structured retrospective of your prompts and responses.
Analyzing Claude Code conversation history improves coding efficiency by pinpointing where your prompts or workflow could have been more effective. The retrospective report highlights areas for improvement and suggests specific topics for deeper study to avoid similar issues.
Yes, the session retrospective skill suggests improvements for project documentation. It analyzes your conversation history to generate recommendations and specific suggestions for updating your project's CLAUDE.md file to enhance future AI coding sessions.
The best way to summarize a complex debugging session is to use a retrospective tool that extracts human-readable content from your conversation history. This generates a structured report of what went wrong, what was achieved, and how to avoid similar issues.
daymadeParse Claude Code session JSONL files to recover deleted content and generate reports.
rahmanayonUpdate project documentation to reflect shipped changes and polish changelog voice.
nanorepublicaValidate code against centralized global tech stack standards.
tiancaiamaoSearch archived session JSONL logs to recover prior conversation context.
