Ingest sources into an interlinked markdown knowledge base with wikilinks and provenance markers.
npx skills add https://github.com/Signmanal/VIGIL --skill llm-wiki-signmanal
Please help me install this Agent Skill. Skill: llm-wiki Source: https://github.com/Signmanal/VIGIL/tree/main/skills/research/llm-wiki Command: npx skills add https://github.com/Signmanal/VIGIL --skill llm-wiki-signmanal
This Skill eliminates the inefficiency of traditional RAG systems that re-discover knowledge from scratch for every query, reducing redundant work, missed cross-references, and inconsistent compiled knowledge for research and analysis workflows.
Use the llm-wiki skill to ingest the attached arxiv paper on transformer architectures and update all relevant existing wiki pages with new findings.
High-intent search queries and answers about installing and using this skill.
You can build a persistent markdown knowledge base by maintaining a local wiki directory structured with raw source layers, entity pages, schema conventions, and index files. This interlinked markdown system compounds research over time without requiring an external database.
Your research workflow re-processes sources because it lacks a persistent knowledge base. Ingesting sources into an interlinked markdown wiki with automated cross-referencing and provenance markers compiles knowledge once, eliminating redundant re-discovery and missed connections across queries.
Yes, you can ingest sources like research papers and meeting transcripts to automatically create or update entity, concept, and comparison pages. The system applies proper wikilinks and provenance markers to ensure consistent curation and cross-referencing across your knowledge base.
Yes, this interlinked wiki approach works entirely without an external database. It relies on a self-contained local directory of markdown files structured with raw source layers, schema conventions, and navigation logs to support consistent curation and persistent cross-referencing.
The best way to track advancements without manual cross-referencing is ingesting arxiv papers into a persistent markdown wiki. This automatically links new model entries to existing architecture and benchmark pages, maintaining a searchable, compounding knowledge base for security analysis and research.
Yes, you need a local wiki directory structured with raw source layers, entity and concept pages, schema conventions, and index or log navigation files. This specific structure is required to support consistent curation, source ingestion, entity tracking, and cross-referencing.
musical-basicsCreate and maintain structured markdown wikis for consolidating research knowledge from ingested sources.
linfordWuIngest sources into a persistent, interlinked markdown knowledge base.
zangjeicyIngest sources into a persistent interlinked markdown knowledge base.
DarkArty07Build persistent interlinked markdown knowledge bases with provenance tracking and wikilinks.
