Ingest sources into a persistent Markdown wiki with Obsidian-style wikilinks.
npx skills add https://github.com/cryptopafi/nexusos-skills --skill llm-wiki-cryptopafi
Please help me install this Agent Skill. Skill: llm-wiki Source: https://github.com/cryptopafi/nexusos-skills/tree/main/research/llm-wiki Command: npx skills add https://github.com/cryptopafi/nexusos-skills --skill llm-wiki-cryptopafi
Build and maintain a persistent, interlinked markdown knowledge base that centralizes sources, notes, and queries for research workflows.
Initialize a wiki workspace and start ingesting your first sources to build the interlinked knowledge graph.
High-intent search queries and answers about installing and using this skill.
Build an interlinked markdown knowledge base by ingesting raw sources like papers and notes, then generating wiki pages with Obsidian-style wikilinks. The system applies a three-layer architecture with YAML frontmatter to maintain a persistent, cross-linked research graph.
Maintaining a persistent knowledge wiki requires consistent linting and schema adherence. The system audits the knowledge base using a structured index and log system alongside YAML frontmatter metadata to ensure the graph remains scalable and accurately interlinked over time.
Yes, you can use Obsidian-style wikilinks and YAML frontmatter for automated knowledge graph ingestion. The system specifically implements this metadata structure to ingest articles and arXiv papers, creating cross-linked pages that form a structured, queryable research wiki.
Ingest arXiv papers and transcripts into a markdown wiki by processing them through a three-layer architecture: raw sources, wiki pages, and a schema. The system automatically creates cross-linked pages using Obsidian-style wikilinks and logs the ingestion in a structured index.
No external dependencies or components are required for this knowledge base linting approach. The system operates independently to apply schema adherence and linting rules to your markdown wiki, ensuring consistent YAML frontmatter and valid wikilinks without external integrations.
A three-layer architecture separates raw sources, generated wiki pages, and the schema, preventing data loss and structural drift. This structured approach enables reliable linting, consistent YAML frontmatter metadata, and accurate wikilinks compared to managing flat, disconnected markdown notes.
Uzay-GCrawl websites and ingest content into a Whorl knowledge base as Markdown.
Nero-kkExport Obsidian wiki knowledge graphs to graph.json, graph.graphml, cypher.txt, and graph.html.
jacardlIngest sources into a persistent Markdown knowledge base with Obsidian-style wikilinks.
ce-dot-netCapture insights from task executions into a persistent knowledge base.
