Create and query interlinked knowledge bases from markdown files.
npx skills add https://github.com/lenadlm/docker --skill llm-wiki-lenadlm
Please help me install this Agent Skill. Skill: llm-wiki Source: https://github.com/lenadlm/docker/tree/main/hermes-skills/skills/research/llm-wiki Command: npx skills add https://github.com/lenadlm/docker --skill llm-wiki-lenadlm
This Skill enables users to create, maintain, and query a persistent, compounding knowledge base using markdown files, eliminating the need for complex databases and tools.
Set the WIKI_PATH environment variable and use the llm-wiki skill to start a new knowledge base or add a new source to an existing one.
High-intent search queries and answers about installing and using this skill.
To build a persistent knowledge base with markdown files, you set the WIKI_PATH environment variable and use the skill to create interlinked markdown documents. This eliminates the need for complex databases by relying on standard markdown parsing and file manipulation.
Yes, you can ingest research papers and transcripts into a markdown wiki. The skill supports adding and processing various source types, parsing the content into markdown files to compile and reference large amounts of information.
No, you do not need a database to maintain a compounding knowledge base. The skill uses standard markdown files for storage and querying, avoiding complex databases and tools while ensuring your research data persists and compounds over time.
You query and synthesize answers from a markdown knowledge base by using the skill's built-in querying capabilities. It parses your interlinked markdown files to extract and synthesize relevant information directly from your compiled sources.
The best way to check markdown wiki completeness and consistency is through wiki linting. The skill performs health checks and audits on your knowledge base to ensure your interlinked markdown files maintain structural integrity and completeness.
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