codify

Consolidate session learnings into permanent, searchable documentation.

Updated Jan 19, 2026
One-click install
npx skills add https://github.com/ddaanet/edify-plugin --skill codify-ddaanet
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: codify
Source: https://github.com/ddaanet/edify-plugin/tree/main/skills/codify
Command: npx skills add https://github.com/ddaanet/edify-plugin --skill codify-ddaanet

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Consolidates scattered session learnings and ad-hoc rules into stable, searchable documentation to prevent context loss and guide future work.

Core Features & Use Cases

  • Route learnings to skill references, agent decisions, and memory indexes.
  • Update CLAUDE.md references and memory-index entries to reflect new patterns.
  • Support draft-writing for decision files and knowledge artifacts.

Quick Start

Initiate codification to convert current session learnings into permanent documentation.

Frequently Asked Questions about codify

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

FAQPage Schema
How do I consolidate session learnings into permanent documentation?

To consolidate session learnings into permanent documentation, you initiate codification to convert scattered rules and context into stable, searchable files. This process drafts decision files and knowledge artifacts to prevent context drift.

What is frontmatter-driven routing for memory indexes?

Frontmatter-driven routing for memory indexes is a mechanism that scopes new learnings to specific skill references and agent decisions. It enforces structured updates so knowledge remains discoverable for cross-project reuse.

How do I update CLAUDE.md references with new session patterns?

You update CLAUDE.md references by routing new session patterns directly into the file structure. This ensures agent decisions and memory-index entries reflect the latest patterns for future guidance.

Can I reuse documentation and decisions across different projects?

Yes, you can reuse documentation across different projects. The system scopes routing to skill references and memory indexes specifically to support cross-project reuse and prevent context loss.

What is the best way to prevent context drift in AI agent sessions?

The best way to prevent context drift is to codify ad-hoc rules into permanent, discoverable documentation. Consolidating learnings into structured decision files ensures future work is guided by stable context.

Do I need existing memory indexes to start codifying agent decisions?

No, you do not need existing memory indexes to start. The process supports drafting new decision files and knowledge artifacts to establish your documentation baseline from current session learnings.