Mini Context Graph Skill

The Core Idea

Standard RAG re-discovers knowledge from scratch on every query. This skill is different:

1. Wiki layer — The LLM writes and maintains persistent markdown pages (summaries, entity pages, topic syntheses). Cross-references are already there. The wiki gets richer with every ingest.
2. Graph layer — Entities and relations are extracted once and stored as a navigable knowledge graph. BFS traversal answers structural queries without re-reading sources.
3. Raw source layer — Original documents are stored immutably with chunks. Provenance links tie every graph node and edge back to the exact text that supports it.

The LLM writes; the Python tools handle all bookkeeping.

Three Layers