Automates construction and management of interconnected knowledge bases from Markdown files.
npx skills add https://github.com/kngender5/hermes --skill llm-wiki-kngender5
Please help me install this Agent Skill. Skill: llm-wiki Source: https://github.com/kngender5/hermes/tree/main/skills/research/llm-wiki Command: npx skills add https://github.com/kngender5/hermes --skill llm-wiki-kngender5
This Skill simplifies the process of creating and maintaining a comprehensive knowledge base by utilizing interlinked markdown files, reducing the time and effort required for research and documentation.
Use the llm-wiki skill to create a new knowledge base for "AI/ML research" and start by ingesting the "Introduction to AI" paper.
High-intent search queries and answers about installing and using this skill.
You can build a persistent knowledge base by automating the construction and management of interconnected markdown files. This Skill parses, links, and maintains structured documents to simplify research and documentation workflows.
Yes, you can ingest research sources like articles, papers, and transcripts into your markdown wiki. The Skill integrates these varied sources to compile and organize information for easy reference and analysis.
Yes, maintaining a structured knowledge base includes implementing provenance marking, versioning, and search indexing. These features ensure your interconnected markdown documents remain traceable and up-to-date.
The best way to query and synthesize information is to retrieve and synthesize data directly from the structured markdown files. This allows you to answer questions and provide insights based on your compiled sources.
Yes, this approach is suitable for collaborative learning and research documentation. It organizes and maintains a structured knowledge base, reducing the time and effort required to manage information.
No external dependencies are required to maintain a structured markdown knowledge base. The Skill operates independently to parse, link, and manage your interconnected documents without additional packages.
cryptopafiIngest sources into a persistent Markdown wiki with Obsidian-style wikilinks.
kim1024Retrieve and synthesize knowledge-base content to answer questions with citations.
tya5Build semantic search indexes from Markdown, Python, and structured data files.
blueskies1818Manage a markdown-based knowledge base with ingestion, querying, and auditing.
