Synthesize raw sources into interlinked markdown knowledge base pages.
npx skills add https://github.com/Rheasilvia/hermes-desktop --skill llm-wiki-rheasilvia
Please help me install this Agent Skill. Skill: llm-wiki Source: https://github.com/Rheasilvia/hermes-desktop/tree/main/skills/research/llm-wiki Command: npx skills add https://github.com/Rheasilvia/hermes-desktop --skill llm-wiki-rheasilvia
This skill solves the problem of fragmented information by transforming raw sources into a structured, compounding knowledge base that evolves with your research.
Use the llm-wiki skill to initialize a new knowledge base in your home directory and ingest the research article provided in the current context.
High-intent search queries and answers about installing and using this skill.
A markdown knowledge base compiles fragmented information into structured, interlinked entity and concept pages. This skill synthesizes raw research sources, cross-referencing new data with existing entries to build a dense, evolving network of insights.
Maintaining wiki consistency is achieved through automated ingestion, linting, and health-checks. This skill enforces schema-driven taxonomy and cross-referencing to keep your markdown knowledge base accurate and free of broken links.
Yes, this skill supports integration with Obsidian workflows. It manages markdown files, logs chronological discoveries, and stores raw source material on your file system, fitting seamlessly into local markdown-based note-taking environments.
To synthesize research papers into interlinked markdown pages, ingest your articles into the initialized knowledge base. The agent extracts findings, flags contradictions, and maps them to a schema-driven taxonomy while maintaining a chronological log.
Yes, this skill requires file system access to manage markdown files, log entries, and raw source material. This local access enables automated health-checks and maintains the persistent knowledge base directly in your directory.
As a RAG alternative, this skill transforms raw sources into a compounding, structured knowledge base rather than retrieving isolated chunks. It uses schema-driven taxonomy and automated cross-referencing to synthesize findings into interlinked markdown pages.
projectedanxIngests raw sources and synthesizes structured, interlinked markdown knowledge bases.
heysuhasIngest raw sources into an interlinked markdown knowledge base.
SpillwaveSolutionsConvert Markdown to Confluence Wiki Markup and update pages via REST.
cxnaiveIngest raw sources into a persistent interlinked markdown knowledge base.
