Lets Claude query your local LLM Wiki desktop app over its HTTP API at 127.0.0.1:19828. You say "what does my wiki say about X" or "search my knowledge base for Y" and it hits the search endpoint, reads markdown pages, and cites paths. Only triggers when you explicitly mention "LLM Wiki," "my wiki," or "知识库," so it won't fire on generic "search my notes" requests meant for Obsidian or Notion. It's read-only except for source rescans, supports hybrid keyword-vector search, and respects whatever project is open in the desktop UI via the "current" shorthand. The auth is localhost-only with a bearer token from Settings. Treat it like a private knowledge graph you've been curating that Claude can now read and ground answers in.

skills.sh installs
1.9K
GitHub stars
155
last updated
Aug 21, 2026

Install

$ npx -y skills add nashsu/llm_wiki_skill --skill llm-wiki --agent claude-code

Installs into .claude/skills of the current project.

Files

LLM Wiki Local API Skill

Talk to the user's locally-running LLM Wiki app over its built-in HTTP API. This is a standard JSON API — call it directly with whatever HTTP tool is already in your environment (curl, fetch, requests, http middleware, etc.). No client library to install, no SDK to learn.

Treat the wiki as a private, structured knowledge base the user has been curating: pages live as wiki/**.md, raw documents under raw/sources/, wikilinks form a graph.

When to invoke

Invoke only when the user is clearly referring to LLM Wiki specifically — by app name, by wiki framing, or by 知识库 framing. Concretely:

Sponsors

Details

Repository
github.com/nashsu/llm_wiki_skill
Categories
Documentation, AI & Agent Building, Data Science & ML, Office & Documents
First seen
Jul 14, 2026
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