Build and maintain an interlinked markdown knowledge base from ingested sources.
npx skills add https://github.com/perasyudha/Nyxora --skill llm-wiki-perasyudha
Please help me install this Agent Skill. Skill: llm-wiki Source: https://github.com/perasyudha/Nyxora/tree/main/packages/core/playbooks/research/llm-wiki Command: npx skills add https://github.com/perasyudha/Nyxora --skill llm-wiki-perasyudha
High-intent search queries and answers about installing and using this skill.
Initialize a wiki directory with SCHEMA.md, index.md, and log.md, then ingest sources one at a time. The agent creates entity and concept pages with wikilinks, updates the index, and logs every action so knowledge compounds across sessions.
RAG retrieves and re-derives knowledge from raw documents on every query, while the wiki compiles knowledge once into cross-referenced markdown pages. Contradictions are flagged at ingest time and synthesis reflects everything previously ingested.
Yes, the wiki directory works as an Obsidian vault out of the box. Wikilinks render as clickable links, YAML frontmatter powers Dataview queries, and on headless servers you can sync via the obsidian-headless CLI.
Each raw source stores a sha256 hash of its body in frontmatter. On re-ingest of the same URL, the hash is recomputed and compared; identical content is skipped and mismatches are flagged as source drift during lint.
Pages are only created when an entity or concept appears in two or more sources or is central to one source. Passing mentions and minor details are skipped to prevent page sprawl, and pages over 200 lines are split into sub-topics.
cryptopafiIngest sources into a persistent Markdown wiki with Obsidian-style wikilinks.
jbarlek3-webSynthesize Notion content into structured briefs and reports with citations.
1549171506Ingests academic papers into a structured wiki with cross-referenced pages and graph edges.
jhl-labsRetrieve relevant documents and augment LLM prompts with vector search.
