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retro

Analyzes Claude Code session transcripts to identify friction, successes, and rule adherence.

1|Updated Oct 3, 2023
Search Tags:#code review#retrospective#ai analysis#session analysis#workflow improvement#friction points
One-click install
npx skills add https://github.com/mt-krainski/twinkletaps --skill retro-mt-krainski
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: retro
Source: https://github.com/mt-krainski/twinkletaps/tree/main/.claude/skills/retro
Command: npx skills add https://github.com/mt-krainski/twinkletaps --skill retro-mt-krainski

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill streamlines the process of analyzing AI conversation transcripts to identify areas of friction, successes, and adherence to established rules, leading to more efficient and effective AI interactions.

Core Features & Use Cases

  • Automated Transcript Analysis: Parses session transcripts to identify friction points, successes, and rule adherence.
  • Historical Review: Loads and analyzes past retrospectives to track improvement progress.
  • Targeted Research: Conducts web searches for solutions to identified friction points.
  • Structured Reporting: Generates a comprehensive summary for team discussion and action planning.
  • Use Case: After a week of using an AI coding assistant, run this Skill to get a report on what worked well, what caused frustration, and suggestions for improving the AI's configuration or usage.

Quick Start

Run the retro skill to analyze Claude Code sessions from the last 7 days.

Frequently Asked Questions about retro

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

FAQPage Schema
How do I conduct a retrospective on my AI coding assistant sessions?▼

To conduct an AI session retrospective, run the retro skill to parse Claude Code session transcripts from the last 7 days, identifying friction points, successes, and rule adherence for workflow improvement.

What is the best way to analyze AI conversation transcripts for friction points?▼

Analyzing AI conversation transcripts for friction points is best handled by an automated retrospective tool that parses historical session data to identify workflow bottlenecks and rule adherence.

How do I track rule adherence and successes in Claude Code sessions?▼

You can track rule adherence and successes in Claude Code sessions by running an automated retrospective analysis that loads historical session data and generates a structured summary of your AI interactions.

Do I need Git to analyze session transcripts for workflow improvements?▼

Yes, you need Git installed because the retrospective analysis requires Git log data to parse session transcripts and accurately identify friction points in your AI coding workflows.

Can I research solutions for AI workflow friction points automatically?▼

Yes, you can automatically research solutions for AI workflow friction points by using agent tools that conduct targeted web searches based on the specific friction points identified during transcript analysis.

What are the limitations of automating AI session analysis with retrospective tools?▼

A limitation of automating AI session analysis is that it relies on agent tools for parallel processing and requires Git log data, meaning it cannot parse sessions without a valid Git repository history.

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