memory-to-skill-crystallizer

Converts memory logs into reusable skills with SKILL.md frontmatter.

3|Updated Feb 28, 2026
One-click install
npx skills add https://github.com/Dalomeve/bot-output --skill memory-to-skill-crystallizer
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: memory-to-skill-crystallizer
Source: https://github.com/Dalomeve/bot-output/tree/main/skills/memory-to-skill-crystallizer
Command: npx skills add https://github.com/Dalomeve/bot-output --skill memory-to-skill-crystallizer

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Memory notes and lessons often stay in daily logs and are not reusable across sessions, making it hard to apply learnings. This Skill automatically extracts recurring patterns from memory/YYYY-MM-DD.md and converts them into reusable skills stored under skills/local. It reduces manual extraction work and prevents important lessons from getting lost.

Core Features & Use Cases

  • Pattern Detection: scans memory files for repeated issues and extracts common patterns.
  • Skill Generation: creates new local skills in skills/local/<pattern>-recovery with a SKILL.md frontmatter and a basic template.
  • Registration: lists generated skills under skills/local for quick discovery and reuse.

Quick Start

Run the crystallizer to scan your memory logs and automatically generate reusable skills under skills/local/.

Frequently Asked Questions about memory-to-skill-crystallizer

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

FAQPage Schema
How do I convert daily memory notes into reusable skills automatically?

To convert daily memory notes into reusable skills, a crystallizer scans memory/YYYY-MM-DD.md logs to detect recurring patterns and generates new local skills under skills/local. It reduces manual extraction work and prevents important lessons from getting lost across sessions.

What is pattern detection for knowledge management in daily logs?

Pattern detection for knowledge management scans memory files for repeated issues and extracts common patterns. This mechanism identifies recurring lessons in daily logs that are suitable for conversion into reusable skills.

How do I generate local skills from recurring issues in my memory files?

To generate local skills from recurring issues in memory files, run the crystallizer to scan logs and create entries in skills/local/<pattern>-recovery. Each generated skill includes a SKILL.md frontmatter with a name and description and a basic template.

Does the skill generation process require any specific file format for memory logs?

Yes, skill generation requires memory logs formatted as memory/YYYY-MM-DD.md files. The deterministic pattern detection scans these specific daily markdown logs to extract recurring patterns and create corresponding local skills.

What's the best way to register and discover generated local skills?

The best way to register and discover generated local skills is through automatic listing under skills/local. The crystallizer handles registration by listing generated skills in this directory for quick discovery and reuse.