crystallize

Extract repeating patterns from session logs and lesson files into draft skill files.

75|13|Updated Apr 5, 2026
One-click install
npx skills add https://github.com/avelikiy/great_cto --skill crystallize-avelikiy
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: crystallize
Source: https://github.com/avelikiy/great_cto/tree/main/skills/crystallize
Command: npx skills add https://github.com/avelikiy/great_cto --skill crystallize-avelikiy

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the process of identifying and converting session and lesson information into actionable skill files, helping to streamline knowledge organization and retrieval.

Core Features & Use Cases

  • Session Analysis: Extracts repeating patterns from session logs and lessons.
  • Draft Skill Files: Outputs draft skill files for review and integration.
  • Automated Learning: Triggers automatically after every 10 sessions or upon manual command by the CTO.

Quick Start

Run /crystallize after ≥10 sessions or when the CTO commands, "crystallize," "extract knowledge," or asks, "what have we learned?"

Frequently Asked Questions about crystallize

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

FAQPage Schema
How do I automate knowledge extraction from session logs into reusable skill files?

Automating knowledge extraction from session logs is done by distilling repeating patterns and lessons into draft skill files. This process organizes AI development experience into reusable assets for retrieval and integration.

What is the best way to distill lessons learned into draft skill files?

The best way to distill lessons learned into draft skill files is using automated session analysis. Extracting repeating patterns from session logs and lessons produces draft files for domain-specific skills ready for review.

Does session analysis work automatically or do I need to trigger it manually?

Session analysis triggers automatically after every 10 sessions or via manual command. You can initiate knowledge extraction by running the command or asking what has been learned during development.

Can I use automated learning distillation in AI product development environments?

Automated learning distillation is intended for use within AI product development environments. It streamlines knowledge organization by converting session and lesson information into actionable skill files.

When do I need to crystallize session logs into draft skill files?

You need to crystallize session logs into draft skill files when you have accumulated 10 or more sessions. This process extracts repeating patterns, helping streamline knowledge organization and retrieval for domain-specific skills.

Are there limitations to automated knowledge organization for session logs?

Automated knowledge organization outputs draft skill files that require human review and integration. The process extracts repeating patterns from session logs and lessons but does not finalize the skill files automatically.