reflect

Capture work reflections into a graph-backed knowledge store as decisions, findings, or patterns.

275|17|Updated Mar 24, 2026
One-click install
npx skills add https://github.com/egregore-labs/egregore --skill reflect-egregore-labs
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: reflect
Source: https://github.com/egregore-labs/egregore/tree/main/.claude/skills/reflect
Command: npx skills add https://github.com/egregore-labs/egregore --skill reflect-egregore-labs

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Capture insights from your work — decisions, patterns, and realizations worth keeping.

Core Features & Use Cases

  • Deep Socratic reflection with auto-classification into decisions, findings, and patterns.
  • Quick capture mode for rapid notes with auto-tagging and topic-focused prompts.
  • Focused mode to drill into a named topic while linking artifacts across sessions.
  • Graph-backed memory and cross-session continuity for organized knowledge.

Quick Start

Run /reflect to begin capturing insights from your current session.

Frequently Asked Questions about reflect

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

FAQPage Schema
How do I capture and organize decisions and insights from my work sessions?

You can capture and organize insights by running a reflection command that auto-classifies notes into decisions, findings, or patterns, then writes them to a structured graph-backed memory store. This ensures your work reflections are systematically retained.

What is deep Socratic reflection for auto-classifying work patterns?

Deep Socratic reflection is a guided process that helps you extract realizations from your work, automatically categorizing them into decisions, findings, and patterns. It structures your insights into a knowledge graph for cross-session continuity.

Can I quickly capture findings and tag them to specific topics across sessions?

Yes, quick capture mode allows rapid note-taking with auto-tagging and topic-focused prompts. You can use focused mode to drill into named topics while linking these artifacts across different work sessions in the graph.

Do I need a graph backend to store decisions and patterns in memory?

Yes, the Skill requires a graph backend to function. It relies on this graph-backed memory infrastructure to write artifacts and maintain organized knowledge with cross-session continuity for your captured decisions and patterns.

What is the best way to maintain knowledge continuity across multiple work sessions?

Using a graph-backed memory store to capture and link reflections is the best way to maintain continuity. It supports focused modes that drill into named topics while preserving artifact connections across sessions.

How does reflect classify work artifacts into decisions, findings, and patterns?

Reflect auto-classifies captured insights during deep Socratic reflection and quick capture sessions. It writes these categorized artifacts as decisions, findings, or patterns directly into a structured memory graph for organized knowledge retrieval.