Compile raw sources into a persistent structured wiki of markdown pages.
npx skills add https://github.com/praneybehl/llm-wiki-plugin --skill llm-wiki-praneybehl
Please help me install this Agent Skill. Skill: llm-wiki Source: https://github.com/praneybehl/llm-wiki-plugin/tree/main/skills/llm-wiki Command: npx skills add https://github.com/praneybehl/llm-wiki-plugin --skill llm-wiki-praneybehl
This Skill solves the context-bottleneck problem of accumulating and querying large document collections. Traditional RAG systems re-derive knowledge from raw chunks on every query, but this skill compiles sources once into a persistent, structured wiki of markdown pages, allowing knowledge to compound over time without hitting context limits or losing prior synthesis.
Use the llm-wiki skill to ingest the attached document into your wiki and ask what it says about the topic.
High-intent search queries and answers about installing and using this skill.
Build a knowledge base from research papers without hitting context limits by compiling raw sources once into a persistent, structured wiki of markdown pages. This allows knowledge to compound across documents without re-reading raw sources on every query.
A compounding wiki differs from traditional RAG by synthesizing raw sources into persistent markdown pages with cross-references and citations upfront. RAG re-derives knowledge from raw chunks on every query, whereas the wiki files answers back as synthesis pages for future use.
You can scale a markdown knowledge base to thousands of pages by using sharded indexes, atomic page sizing, YAML frontmatter conventions, and bundled BM25 search scripts to maintain query performance and structural health.
Ingest articles and transcripts into a structured wiki by processing raw sources into markdown pages with YAML frontmatter, cross-references, entity tracking, and source citations to ensure knowledge is synthesized and connected.
Maintain a large knowledge base and catch contradictions by running structural and semantic health checks. These linting checks identify orphan pages, broken links, stale claims, and contradictions before they compound across the wiki.
You need YAML frontmatter and the pyyaml dependency to compile documents into a searchable wiki, as these conventions maintain the structured metadata required for sharded indexes and BM25 search scripts to function at scale.
tezra-ioAutomate creation, maintenance, and querying of personal LLM-powered knowledge bases.
Agents4Academia-AISynthesize cited answers from local research papers and notes.
BermudaLocalsIngest sources into a persistent, interlinked Markdown knowledge base.
Astro-HanCompile raw source materials into structured markdown wiki pages.
