What problem does it solve?
Manually conducting detailed retrospectives after coding sessions is time-consuming and often overlooked. This Skill automates the analysis of your Claude Code sessions, providing structured reports that help you identify successful patterns, pinpoint challenges, and continuously improve your workflow.
Core Features & Use Cases
- Multi-Source Analysis: Integrates data from git history, Claude Code session logs, project files, and user feedback for a holistic view.
- Quantitative & Qualitative Insights: Generates metrics on session scope, quality, and efficiency, alongside qualitative insights into workflow patterns and communication effectiveness.
- Actionable Recommendations: Provides prioritized, evidence-based recommendations for immediate and long-term improvements, including suggestions for updating Claude's configuration.
- Use Case: After completing a complex feature, run a comprehensive retrospective to understand what went well, what caused friction, and get specific recommendations to optimize your future AI-assisted development sessions.
Quick Start
Use the retrospecting skill to do a quick retrospective on what we just accomplished.