Build and maintain an interlinked markdown knowledge base from ingested sources.
npx skills add https://github.com/TylerSimons1127/vibe --skill llm-wiki-tylersimons1127
Please help me install this Agent Skill. Skill: llm-wiki Source: https://github.com/TylerSimons1127/vibe/tree/main/skills/research/llm-wiki Command: npx skills add https://github.com/TylerSimons1127/vibe --skill llm-wiki-tylersimons1127
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 by one. The agent creates cross-linked entity and concept pages, updates the index, and logs every action so knowledge compounds instead of being rediscovered per query.
RAG retrieves and re-synthesizes knowledge from scratch on every query. An LLM wiki compiles knowledge once into interlinked markdown pages, so cross-references, contradiction flags, and synthesis persist and improve with each ingested source.
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 obsidian-headless can sync the vault via Obsidian Sync.
Each raw source stores a sha256 hash of its body in frontmatter. On re-ingest of the same URL, the agent recomputes the hash and compares it — identical content is skipped, while a mismatch flags source drift for review.
Lint scans for orphan pages, broken wikilinks, index completeness, frontmatter validity, stale content over 90 days old, contradictions, low-confidence pages, source drift via hash mismatches, oversized pages, and tags outside the SCHEMA.md taxonomy.
cryptopafiIngest sources into a persistent Markdown wiki with Obsidian-style wikilinks.
RonanCodesGenerate Marp-format slide decks from wiki content.
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.
