knowledge-reorg

Reorganize AGENTS.md and Skills according to the AI Agent Knowledge Architecture Policy.

Updated Jan 30, 2026

Search Tags:#documentation #migration #skills #multi-agent #agents #refactor #knowledge-architecture

Ready to run

npx skills add https://github.com/takemi-ohama/ai-plugins --skill knowledge-reorg

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: knowledge-reorg
Source: https://github.com/takemi-ohama/ai-plugins/tree/main/plugins/ndf/skills/knowledge-reorg
Command: npx skills add https://github.com/takemi-ohama/ai-plugins --skill knowledge-reorg

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill reorganizes AGENTS.md and Skills to conform to the AI Agent Knowledge Architecture Policy, improving discoverability and maintainability across multiple agents.

Core Features & Use Cases

Centralizes entrypoints and agent references to a single AGENTS.md hub.
Separates knowledge content (docs) from executable workflows (skills) to simplify maintenance and migration.
Provides a guided approach for multi-agent integration and future updates, including cross-agent imports and consistency checks.

Quick Start

Run the knowledge reorg workflow to separate AGENTS.md, Skills, and docs according to the policy.

Frequently Asked Questions about knowledge-reorg

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

FAQPage Schema

How do I reorganize AGENTS.md to separate documentation from executable skills?▼

To reorganize AGENTS.md, this Skill analyzes repository knowledge and applies the AI Agent Knowledge Architecture Policy to separate entry points, documentation, and executable workflows. It centralizes agent references into a single AGENTS.md hub while extracting documents into dedicated skills.

What is the three-layer structure for multi-agent knowledge architecture migration?▼

The three-layer structure for multi-agent knowledge architecture separates entry points, documentation, and executable workflows. This Skill enforces that structure by compressing entrypoints, extracting documents, and checking link integrity across Claude Code, Codex CLI, Kiro CLI, and Gemini CLI setups.

How do I migrate agent knowledge architecture across Claude Code, Codex CLI, and Gemini CLI?▼

Migrating agent knowledge architecture across Claude Code, Codex CLI, Kiro CLI, and Gemini CLI requires centralizing entrypoints into a single AGENTS.md hub and separating docs from skills. This Skill provides guided migration with cross-agent imports and consistency checks for multi-agent integration.

Does this knowledge architecture reorganization support Serena memory migration?▼

Yes, this knowledge architecture reorganization supports optional Serena memory migration. Alongside entrypoint compression and document extraction, it includes Serena memory migration to maintain knowledge continuity when reorganizing AGENTS.md and Skills per policy.

When should I refactor my repository's AGENTS.md and skills for multi-agent setups?▼

You should refactor your repository's AGENTS.md and skills for multi-agent setups when knowledge discoverability and maintainability decline across agents. This Skill applies the AI Agent Knowledge Architecture Policy to separate concerns and improve cross-agent consistency.

What's the best way to compress AGENTS.md entrypoints without breaking link integrity?▼

The best way to compress AGENTS.md entrypoints without breaking links is to run a guided reorganization workflow that performs entrypoint compression, document extraction, and link integrity checks. This ensures the three-layer structure is satisfied while maintaining cross-agent references.