/system

Generating comprehensive system documentation involves capturing architecture knowledge graph metadata for enterprise systems, applications, and infrastructure. This Skill gathers essential details like ID, type, owner, and status to ensure platforms are discoverable by AI assistants.

The best way to create AI-friendly system documentation is to generate structured notes with frontmatter and markdown content enriched with architecture knowledge graph metadata. This approach auto-links to existing entities and ensures infrastructure components are easily understandable.

Progressive disclosure for system architecture metadata works by guiding users through a structured collection process that gathers essential and optional details incrementally. This mechanism prevents information overload while building comprehensive notes for enterprise systems and applications.

Yes, you can use graph queries to auto-link existing entities during system documentation generation. The Skill leverages script-based graph queries to connect new infrastructure component notes with existing architecture knowledge graph entities automatically.

Yes, documenting infrastructure components and their operational status is fully supported. The Skill generates central notes capturing technical details, integrations, and hosting information for enterprise systems, making them easily discoverable for AI knowledge management.