Karpathy Wiki Knowledge Graph
Transforms Karpathy-pattern LLM wikis and markdown knowledge bases into interactive, clustered knowledge graphs.
Understand Knowledge analyzes Karpathy-style 3-layer LLM wiki directories—including raw sources, structured markdown with wikilinks, and catalog schemas—to automatically extract explicit links, infer implicit cross-references, and map semantic topic clusters. By orchestrating deterministic scans with parallel LLM entity extraction agents, this skill produces rich, navigable knowledge graphs with interactive visual tours, helping researchers and developers make sense of complex note collections, research vaults, and AI-generated documentation.
Características Principales
0180,675 GitHub stars
02Detects and parses Karpathy-pattern 3-layer LLM knowledge bases automatically
03Generates interactive force-directed visual dashboards with guided tour steps
04Extracts deterministic links, frontmatter, categories, and raw source references
05Dispatches concurrent LLM subagents to uncover implicit entity relationships and claims
06Deduplicates entities and normalizes taxonomy into layered graph structures
Casos de Uso
01Exploring and visualizing personal AI knowledge bases or Karpathy-pattern research wikis
02Auditing cross-references, orphan notes, and conceptual coverage in technical documentation
03Onboarding team members onto large research vaults through guided visual knowledge tours