What problem does it solve?
This Skill solves the problem of fragmented, ephemeral knowledge by providing a structured, agent-assisted system to build a compounding, persistent markdown-based knowledge base that evolves with your research.
Core Features & Use Cases
- Persistent Knowledge Synthesis: Compiles information into interlinked markdown files, ensuring knowledge is retained and cross-referenced rather than rediscovered per query.
- Automated Maintenance: Includes built-in linting to detect broken links, stale content, and schema violations, keeping the wiki healthy and consistent.
- Use Case: Researchers can ingest diverse sources like papers, transcripts, and articles into a unified wiki, allowing the agent to maintain entity pages, concept definitions, and side-by-side comparisons automatically.
Quick Start
Use the llm-wiki skill to initialize a new knowledge base in the current directory and ingest the provided research article.