reflect

Extract session learnings and route them to memory or vault with cross-links.

11|1|Updated Mar 28, 2026
One-click install
npx skills add https://github.com/robinslange/learning-loop --skill reflect-robinslange
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: reflect
Source: https://github.com/robinslange/learning-loop/tree/main/skills/reflect
Command: npx skills add https://github.com/robinslange/learning-loop --skill reflect-robinslange

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

End-of-session consolidation helps you capture and organize what was learned during a conversation, ensuring it survives long enough to be actioned.

Core Features & Use Cases

  • Review and extract learnings from a session.
  • Route insights to auto-memory or vault, with cross-links to relevant projects.
  • Emit provenance and track each note for future reference.

Quick Start

Run /learning-loop:reflect after a substantial session to consolidate learnings.

Frequently Asked Questions about reflect

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

FAQPage Schema
How do I consolidate session learnings into memory and vault systems?

Consolidate session learnings by reviewing conversations, extracting key insights, and routing them to auto-memory or vault with deterministic routing, cross-linking related projects, and intention tagging.

What is the best way to track provenance for notes captured from a learning session?

Track provenance for captured notes by emitting provenance data during the end-of-session consolidation process, ensuring each note's origin and context are recorded for future reference.

How do I apply intention tagging and cross-linking to extracted learnings?

Apply intention tagging and cross-linking by routing extracted learnings to auto-memory or vault while automatically linking related projects and tagging the specific intention behind each captured note.

Can I use end-of-session consolidation across different domains and project types?

End-of-session consolidation applies across domains by reviewing conversations, extracting learnings, and routing them to auto-memory or vault with concise capture limits and deterministic routing.

What are the limitations of routing insights to auto-memory versus a vault?

Routing insights involves deterministic routing between auto-memory and vault with concise capture limits, ensuring provenance emission and per-note tracking while cross-linking related projects.

Why does my learning consolidation process require provenance emission and per-note tracking?

Provenance emission and per-note tracking guarantee that each captured learning retains its origin context and remains individually traceable for future action across cross-linked projects.