Create and maintain a hierarchical knowledge base with two-layer indexing.
npx skills add https://github.com/ishicm/llm-wiki-skills --skill knowledge-base-ishicm
Please help me install this Agent Skill. Skill: knowledge-base Source: https://github.com/ishicm/llm-wiki-skills/tree/main Command: npx skills add https://github.com/ishicm/llm-wiki-skills --skill knowledge-base-ishicm
This Skill solves the problem of fragmented, unorganized knowledge by providing a structured, AI-managed repository that grows with your needs, eliminating the manual burden of tagging and sorting.
Tell the AI to process the files in the inbox to start organizing your knowledge base.
High-intent search queries and answers about installing and using this skill.
To organize raw notes into a structured wiki, ingest content from local files, conversations, or web URLs, and the system automatically classifies, indexes, and reorganizes the knowledge base into a hierarchical structure.
Progressive auto-reorganization is the mechanism that automatically restructures your knowledge base hierarchy based on file volume. It transitions flat file collections into categorized hierarchies as your repository scales, ensuring efficient navigation without manual sorting.
Perform a health check by running automated linting to identify orphan pages, broken references, duplicates, and stale content. This ensures index consistency and maintains the structural integrity of your knowledge repository.
The two-layer indexing system minimizes token usage by creating a hierarchical navigation structure that allows AI to efficiently locate and retrieve specific files. This ensures minimal context loading as your knowledge repository scales.
Yes, you can ingest knowledge from local inbox files, direct conversation input, or web URLs without manual tagging. The AI autonomously digests and categorizes the content, updating the navigation index and logging all changes automatically.
Use an AI-maintained knowledge base when your collection grows rapidly and manual tagging becomes a burden. It eliminates fragmented, unorganized knowledge by autonomously sorting files and performing health checks to maintain index consistency at scale.
MantisWareConvert URLs, files, text, and clipboard inputs into structured inbox items with provenance metadata.
lumincuiIndex scattered research into structured knowledge-base documents with MECE dimensions.
adryanmoldokkr32-pixelCompute a weighted 0-10 repository health score from type checks, linting, tests, dead code detection, and shell linting.
brainbrewlabsPublishes documentation to GitHub Pages, Vercel, or Netlify from source docs and build outputs.
