session-learn

Extract reusable knowledge from work sessions into durable wiki notes.

133|19|Updated May 4, 2026
One-click install
npx skills add https://github.com/Mark393295827/third-brain-v5-skills --skill session-learn
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: session-learn
Source: https://github.com/Mark393295827/third-brain-v5-skills/tree/main/skills/session-learn
Command: npx skills add https://github.com/Mark393295827/third-brain-v5-skills --skill session-learn

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Session Learn prevents reusable work from disappearing into chat history by turning a finished conversation into durable wiki knowledge, so concepts, decisions, corrections, and open gaps are preserved for later use.

Core Features & Use Cases

  • Knowledge Extraction: Identifies seven signal types, including concepts, entities, corrections, patterns, ideas, decisions, and gaps.
  • Wiki Persistence: Creates or updates durable notes, SOPs, decision logs, and review queues instead of leaving learning in the session.
  • Conflict-Aware Closure: Preserves contradictions, updates, and low-confidence items with explicit annotations rather than silently overwriting them.
  • Use Case: After a long work session, use this Skill to convert the discussion into structured notes, link them to existing wiki pages, and log any unanswered questions for follow-up.

Quick Start

Use session-learn on this conversation to extract reusable concepts, decisions, corrections, patterns, ideas, and gaps into my wiki.

Frequently Asked Questions about session-learn

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

FAQPage Schema
How do I extract reusable knowledge from a conversation into wiki notes?

To extract reusable knowledge from a conversation into wiki notes, the Skill identifies seven signal types including concepts, entities, corrections, patterns, ideas, decisions, and gaps, then persists them as durable records.

What is the best way to save chat session learnings as a decision log?

Saving chat session learnings as a decision log involves capturing decisions, corrections, and open gaps from the work session, applying conflict annotation to preserve contradictions rather than silently overwriting them.

How do I track knowledge gaps and open questions after a work session?

Tracking knowledge gaps after a work session requires separating confirmed learning from open questions, logging unanswered gaps into a review queue for follow-up, and ensuring closure logging preserves low-confidence items.

Can I sync extracted session patterns to existing wiki pages without overwriting conflicts?

Syncing extracted session patterns to existing wiki pages supports conflict annotation, preserving contradictions, updates, and low-confidence items explicitly rather than silently overwriting previous durable notes.

When do I need conflict-aware closure for session knowledge capture?

Conflict-aware closure for session knowledge capture is needed during end-of-session reviews and multi-step problem solving, ensuring deduplication and destination path resolution preserve contradictions and low-confidence items.

Does session knowledge capture work for multi-step problem solving and end-of-session reviews?

Session knowledge capture works for multi-step problem solving and end-of-session reviews by extracting durable wiki notes, logging corrections, and isolating open gaps for follow-up action.