Convert a folder of code, docs, papers, and images into a queryable knowledge graph.
npx skills add https://github.com/ShermanDiep/system-wiki --skill system-wiki-shermandiep
Please help me install this Agent Skill. Skill: system-wiki Source: https://github.com/ShermanDiep/system-wiki/tree/main/system_wiki Command: npx skills add https://github.com/ShermanDiep/system-wiki --skill system-wiki-shermandiep
Converts a folder of code, docs, papers, and images into a cohesive, queryable knowledge graph for rapid exploration and discovery.
Run system-wiki in the target folder to build the knowledge graph.
High-intent search queries and answers about installing and using this skill.
To build a searchable knowledge graph, run system-wiki in your target folder to analyze code, documentation, and media, linking them for cross-file exploration and semantic search. It requires a SKILL.md file with YAML frontmatter at the root.
Semantic search for codebase comprehension works by extracting structural and semantic links from code and documents. It builds a queryable knowledge graph, enabling you to discover dependencies, entrypoints, and cross-document relationships.
Yes, generating a knowledge graph requires a SKILL.md file at the root folder. This file must contain YAML frontmatter with at least a name and description to define the scope for structural and semantic extraction.
You can query cross-file dependencies, entrypoints, and definitions across large repos by generating a unified knowledge graph. This approach enables rapid impact analysis and codebase comprehension across mixed code and documents.
The best way to map cross-document relationships is converting your folder into a knowledge graph. This enables structural extraction from code and docs, facilitating knowledge mapping for teams and rapid cross-file exploration.
Yes, the knowledge graph visualization supports analyzing images and papers. It transforms folders containing code, docs, papers, and images into a cohesive graph, linking media and text for cross-file exploration.
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