Build and maintain interlinked markdown wikis with LLM writing and cross-referencing.
npx skills add https://github.com/sametbrr/llm-wiki-manager --skill llm-wiki-manager
Please help me install this Agent Skill. Skill: llm-wiki-manager Source: https://github.com/sametbrr/llm-wiki-manager/tree/main Command: npx skills add https://github.com/sametbrr/llm-wiki-manager --skill llm-wiki-manager
The llm-wiki-manager Skill solves the problem of creating and managing a personal knowledge base by leveraging an LLM to handle writing, cross-referencing, and bookkeeping, while the user curates sources and asks questions.
Set up the llm-wiki-manager Skill and start a new research folder:
mkdir ~/research/my-topic && cd ~/research/my-topic && claude
> "Set up an LLM wiki here. Topic: history of nutrition science."
High-intent search queries and answers about installing and using this skill.
To build a personal knowledge base, this Skill uses an LLM to process and organize text into a persistent, interlinked markdown wiki. You curate the sources while the LLM handles writing, cross-referencing, and bookkeeping automatically.
Yes, you can ingest sources like articles, PDFs, papers, and transcripts into your LLM-powered wiki. The LLM automatically summarizes new sources and files them into the interlinked markdown structure for later querying.
You query your markdown wiki by asking questions, and the LLM synthesizes answers using the stored knowledge. It generates responses with direct citations and gives you the option to file back any important new information.
Yes, managing a personal wiki requires Python 3.9+ and a Claude Code or agentskills.io-compatible agent. These dependencies provide the necessary environment for the LLM to execute wiki bookkeeping and cross-referencing tasks.
The best way to maintain wiki health is using the built-in lint feature. It performs health checks to identify orphan pages, broken links, index drift, and stub pages within your markdown knowledge base.
Yes, the Skill supports multi-wiki management, allowing you to route writes between a global wiki and specific project wikis. This helps separate broad research from focused project documentation.
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