What are the different report depths available?

The skill offers three modes: Quick (5-10 min) for small tasks, Standard (15-20 min) for typical sessions, and Comprehensive (30+ min) for deep-dive analysis of major changes.

What is a Claude Code retrospective?

A structured analysis of an AI-assisted coding session that examines what was accomplished, how the AI performed, and how the workflow can be improved for future tasks.

Where are the retrospective reports stored?

Validated retrospective reports are saved in the .claude/skills/retrospecting/reports/ directory within your local project folder.

How does the skill gather data?

It automatically retrieves and synthesizes information from git commit history, native Claude session logs, project file metrics, and direct user feedback.

Can this skill update my project settings?

Yes, it can suggest and apply improvements to CLAUDE.md and SKILL.md files based on insights and successful patterns identified during the retrospective.

Session Retrospective

Name: Session Retrospective
Author: bitwarden

bybitwarden

0•

分析と監視

Analyzes Claude Code sessions and git history to generate actionable retrospective reports for continuous workflow improvement.

The Session Retrospective skill provides a structured framework for evaluating AI-driven development sessions. By synthesizing data from git commits, session logs, and user feedback, it generates detailed reports that highlight successful patterns, identify technical debt, and suggest improvements to project configuration files. It is an essential tool for developers and teams looking to optimize their collaboration with Claude and maintain high code quality across complex development tasks.

主な機能

01Multi-source data collection from git history, session logs, and sub-agent interactions

020 GitHub stars

03Quantitative metric tracking for tool success rates and completion efficiency

04Tiered analysis depths ranging from Quick summaries to Comprehensive deep-dives

05Automated suggestions for improving CLAUDE.md and SKILL.md project configurations

06Pattern recognition to identify successful approaches and recurring anti-patterns

ユースケース

01Post-mortem analysis of bug-fixing sessions to prevent future regressions

02Reviewing complex feature implementations to identify architectural improvements

03Codifying successful workflow patterns into project instructions to optimize AI behavior

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add bitwarden/ai-plugins retrospecting

For use in Claude.ai and ChatGPT

Download Skill