reflect

Analyzes session transcripts to identify corrections and update Markdown documentation.

1|Updated Apr 10, 2026
One-click install
npx skills add https://github.com/ngareleo/xstream --skill reflect-ngareleo
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: reflect
Source: https://github.com/ngareleo/xstream/tree/main/.claude/skills/reflect
Command: npx skills add https://github.com/ngareleo/xstream --skill reflect-ngareleo

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill helps users systematically review session transcripts to identify lessons learned, corrections, and workflow improvements, ensuring knowledge is retained and mistakes are not repeated.

Core Features & Use Cases

  • Session Reflection: Analyze recent session transcripts to locate corrections, repeated attempts, and surprises.
  • Knowledge Updating: Automatically generate notes for skill files or project documentation based on session insights.
  • Use Case: After a complex debugging session, review the transcript to find what mistakes occurred and update the team’s knowledge base to prevent reoccurrence.

Quick Start

Scan your latest session transcript using this Skill to identify and document key learnings for future reference.

Frequently Asked Questions about reflect

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

FAQPage Schema
How do I extract lessons learned from session transcripts?

To extract lessons from session transcripts, analyze the text to identify correction signals, recurring errors, and effective workflows. This process captures actionable insights for continuous learning and knowledge management.

What is the best way to update project documentation with insights from a session review?

The best way to update project documentation is to parse session transcripts for correction signals and automatically generate notes in Markdown files. This ensures workflow improvements and actionable insights are retained for future reference.

Can I automate knowledge management by analyzing AI-assisted workflow transcripts?

Yes, you can automate knowledge management by parsing AI-assisted workflow transcripts to locate corrections and repeated attempts. The identified insights are then used to update reflection files and project documentation automatically.

Do I need text parsing capabilities to review session transcripts for recurring errors?

Yes, you need text parsing and file editing capabilities to review session transcripts for recurring errors. Reading transcript files and editing Markdown documentation are required to document the identified workflow improvements.

How does identifying correction signals in session transcripts improve workflow?

Identifying correction signals in session transcripts improves workflow by pinpointing repeated attempts and surprises. Documenting these errors in reflection files prevents mistake reoccurrence and supports continuous improvement.

What limitations exist when trying to document session insights from complex debugging?

A limitation is that the process relies entirely on the availability of text transcript files and requires manual or automated file editing capabilities to update Markdown documentation. Without these transcript files, session reflection cannot occur.