gakushu

Extract reusable patterns from sessions into structured memory files.

Updated Feb 3, 2026

Search Tags:#documentation #learning #memory #knowledge-management #session-analysis #pattern-extraction

Ready to run

npx skills add https://github.com/hagaji/multi-agent-gineiden --skill gakushu

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: gakushu
Source: https://github.com/hagaji/multi-agent-gineiden/tree/main/skills/gakushu
Command: npx skills add https://github.com/hagaji/multi-agent-gineiden --skill gakushu

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill helps teams capture scalable knowledge from interactions by extracting reusable patterns and storing them as structured memories.

Core Features & Use Cases

Pattern extraction from sessions: problem-solving patterns, decision patterns, and communication patterns.
Project-specific knowledge capture: documenting tactics and pitfalls for future reuse.
Memory integration: stores records under memory/learned/[カテゴリ]/[パターン名].md and supports periodic reviews.
Knowledge sharing: contributes to organization-wide memory via memory/global_context.md updates.

Quick Start

To begin, trigger the gakushu skill to extract patterns from the ongoing session and store them in memory/learned.

Frequently Asked Questions about gakushu

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

FAQPage Schema

How do I extract reusable patterns from project sessions for knowledge management?▼

Session pattern extraction captures problem-solving, decision, and communication patterns from ongoing interactions and stores them as structured memories. It helps teams document tactics and pitfalls for future reuse.

What is the best way to consolidate session knowledge into structured memory files?▼

Knowledge consolidation stores extracted session patterns as structured memory files under memory/learned/[category]/[pattern_name].md using a frontmatter-driven recording workflow with optional tagging for categorization.

Can I use session analysis for multi-agent coordination and project retrospectives?▼

Session analysis supports multi-agent coordination and project retrospectives by extracting reusable patterns from past experiences. Captured knowledge informs future decisions across ongoing project tasks.

How does knowledge sharing work with extracted session memories?▼

Knowledge sharing contributes extracted session memories to organization-wide memory via memory/global_context.md updates. This enables consolidated pattern knowledge to be accessible across teams and future sessions.

Do I need any dependencies or specific components to start capturing session patterns?▼

No dependencies or components are required to start capturing session patterns. You only need a simple local storage format under memory/learned and a defined frontmatter-driven recording workflow to store extracted knowledge.

When should I not use session pattern extraction for knowledge management?▼

Session pattern extraction is not suited for one-off interactions where reusable knowledge is unnecessary. It targets recurring project workflows, multi-agent coordination, and knowledge consolidation where past experiences inform future decisions.