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reflect

Analyze AI conversation context to extract actionable insights and learnings.

1|Updated Feb 10, 2026
Search Tags:#learning#retrospective#insights#conversation analysis#improvement#reflection
One-click install
npx skills add https://github.com/cryptofish7/claude-skills --skill reflect-cryptofish7
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: reflect
Source: https://github.com/cryptofish7/claude-skills/tree/main/skills/reflect
Command: npx skills add https://github.com/cryptofish7/claude-skills --skill reflect-cryptofish7

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps you distill valuable insights from your AI conversations, preventing repeated mistakes and identifying opportunities for improvement.

Core Features & Use Cases

  • Conversation Analysis: Identifies key events like completed tasks, errors, user corrections, and decisions made.
  • Insight Categorization: Sorts learnings into actionable categories like "Mistakes to Avoid," "Skill Opportunities," and "Process Improvements."
  • Use Case: After a complex coding session where several errors were encountered and fixed, this Skill can analyze the conversation, identify the root causes of those errors, and suggest adding a new rule to your CLAUDE.md to prevent them in the future.

Quick Start

Run the reflect skill to analyze the current conversation and identify learnings.

Frequently Asked Questions about reflect

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

FAQPage Schema
How do I extract actionable insights from an AI conversation log?▼

Analyze AI conversation context to extract actionable insights, categorizing learnings into mistakes to avoid, skill opportunities, and process improvements. This requires structured output and user confirmation before applying changes to project memory.

What is the best way to automate retrospective analysis of coding sessions?▼

Automate retrospective analysis by categorizing AI conversation learnings into mistakes, skill opportunities, and process improvements. This identifies root causes of session errors and suggests rules for project memory to prevent them.

How do I update CLAUDE.md with rules generated from conversation analysis?▼

Generate structured output from conversation analysis suggesting process improvements, then require user confirmation before applying changes to CLAUDE.md or project memory. This ensures manual validation of all new rules.

Can I automatically create new skill stubs from errors encountered during a task?▼

Identify skill opportunities by analyzing conversation context for errors and user corrections, then generate new skill stubs. This requires structured output and user confirmation before applying changes to new skill stubs or project memory.

Does conversation analysis for memory candidates require manual confirmation?▼

Yes, conversation analysis for memory candidates requires user confirmation. The system identifies memory candidates and process improvements but enforces user confirmation before persisting any changes to project memory or CLAUDE.md.

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