Compiles and maintains interlinked markdown knowledge bases from diverse sources with linting and logging.
npx skills add https://github.com/icyzh/hermes-web --skill llm-wiki-icyzh
Please help me install this Agent Skill. Skill: llm-wiki Source: https://github.com/icyzh/hermes-web/tree/main/skills/research/llm-wiki Command: npx skills add https://github.com/icyzh/hermes-web --skill llm-wiki-icyzh
This skill solves the problem of fragmented knowledge by transforming scattered research, notes, and documents into a structured, compounding, and interlinked markdown knowledge base that evolves with your work.
Ask the agent to initialize a new wiki in your home directory and ingest the provided research article as the first source.
High-intent search queries and answers about installing and using this skill.
To build a persistent markdown knowledge base, compile and interlink diverse source materials using a defined schema. This automatically cross-references new information with existing pages to prevent duplication and ensure consistency.
Automated cross-referencing for an interlinked wiki works by compiling diverse source materials and automatically linking new entries to existing concept pages. It requires consistent adherence to a defined schema and log-based activity tracking to maintain structural coherence.
Tracking entities across large collections of documents is supported by compiling diverse source materials into a persistent markdown wiki. It facilitates research synthesis and entity tracking while using automated linting to ensure data integrity.
Identifying broken links and orphan pages in a markdown wiki is achieved through built-in automated linting. The maintenance feature flags broken links, orphan pages, and stale content to keep your research repository healthy and coherent.
The best way to maintain a research repository for AI and ML papers is to use a persistent markdown knowledge base. It automatically links new paper summaries to existing concept pages and flags contradictory claims for your review.
A specific schema is required to maintain a markdown knowledge base effectively. Consistent adherence to this defined schema, alongside log-based activity tracking, ensures data integrity and structural coherence across all ingested research notes.
NeoLabs-SystemsConstruct and maintain a persistent interlinked markdown knowledge base for AI research.
SpillwaveSolutionsConvert Markdown to Confluence Wiki Markup and update pages via REST.
ARCASSystemsAudit a wiki for broken links, orphan pages, and stale content.
jolequesConvert unstructured inputs into RAG-ready Markdown documents with YAML metadata.
