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session-retrospective

Analyze Claude Code session history to identify recurring agent behavior problems.

Updated Jul 3, 2026
Search Tags:#claude code#retrospective#workflow optimization#session analysis#agent evaluation#behavior analysis
One-click install
npx skills add https://github.com/Reidond/Banshee --skill session-retrospective-reidond
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: session-retrospective
Source: https://github.com/Reidond/Banshee/tree/main/.claude/skills/session-retrospective
Command: npx skills add https://github.com/Reidond/Banshee --skill session-retrospective-reidond

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill analyzes Claude Code session history to uncover recurring behavioral issues, wasted effort, workflow friction, and missing conventions that are difficult to detect from individual sessions.

Core Features & Use Cases

  • Behavioral Pattern Analysis: Identifies recurring mistakes, tool thrash, repetitive questions, and user feedback patterns using extracted session evidence.
  • Evidence-Based Retrospectives: Produces structured reports with verified findings, taxonomy breakdowns, and prioritized improvement recommendations.
  • Use Case: Review recent AI development sessions to discover where agent workflows can be improved and convert repeated friction into reusable rules or skills.

Quick Start

Use the session retrospective skill to analyze my recent Claude Code sessions and summarize the most important behavioral patterns.

Frequently Asked Questions about session-retrospective

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

FAQPage Schema
How do I analyze Claude Code session history for recurring behavioral issues?▼

Session retrospectives review extracted Claude Code transcripts to identify workflow friction, tool thrash, and convention gaps. This Skill automates extraction, redaction, and behavioral taxonomy analysis to produce evidence-based improvement reports across multiple sessions.

What's the best way to identify workflow optimization opportunities in AI-assisted development sessions?▼

Workflow optimization requires analyzing session evidence for tool thrash, repetitive questions, and convention gaps. This Skill applies behavioral taxonomy analysis to redacted session transcripts, validating evidence before generating prioritized improvement recommendations.

Does session analysis work with pytest dependencies for validating agent behavior?▼

Session analysis integrates pytest to validate behavioral findings from Claude Code transcripts. The Skill requires pytest as a dependency to ensure evidence validation occurs before producing structured retrospective reports on agent workflow problems.

Can I convert repeated AI workflow friction into reusable conventions across multiple sessions?▼

Converting workflow friction into reusable conventions requires analyzing multiple Claude Code sessions for recurring behavioral patterns. This Skill produces structured reports with taxonomy breakdowns and prioritized recommendations to transform repeated friction into actionable rules.

Why does my agent evaluation miss convention gaps that appear across different development sessions?▼

Agent evaluation misses convention gaps when individual sessions are reviewed in isolation without cross-session behavioral analysis. This Skill extracts and analyzes multiple session histories to identify recurring workflow issues invisible in single sessions.

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