Compile raw sources into an interlinked markdown wiki with ingest, query, and lint workflows.
npx skills add https://github.com/ai-ecoverse/skills --skill llm-wiki-ai-ecoverse
Please help me install this Agent Skill. Skill: llm-wiki Source: https://github.com/ai-ecoverse/skills/tree/main/skills/llm-wiki Command: npx skills add https://github.com/ai-ecoverse/skills --skill llm-wiki-ai-ecoverse
Persistent markdown wiki to organize knowledge by compiling raw sources into interconnected pages, enabling long-term knowledge compounding and re-use across questions.
Create or locate your wiki root, then install the wiki sprinkle and begin ingesting sources to populate the knowledge base.
High-intent search queries and answers about installing and using this skill.
You can build a persistent markdown wiki by ingesting raw sources like articles and notes into an interconnected knowledge base. The system compiles these sources into coherent pages with summaries and backlinks, enabling long-term knowledge compounding and reuse across queries.
To cross-link markdown pages and detect broken links, use the lint capability to maintain your knowledge base. It identifies broken links, orphan pages, and inconsistencies, ensuring your wiki remains coherent and properly interconnected during ongoing ingestion and updates.
The best way to query a markdown knowledge base is using the built-in query-driven retrieval system. It retrieves information from your ingested sources with direct citations and cross-links, enabling rapid and accurate knowledge extraction from your interconnected notes.
Yes, you can ingest academic papers into a personal wiki. The system automatically processes raw sources to generate summaries and backlinks, compiling them into a schema-driven markdown structure that updates the index and log for persistent knowledge archiving.
Schema-driven workflow ingestion works by routing raw sources through a supported sprinkle and cone architecture. It reads your wiki root, processes the ingested content, updates the index and log, and enforces structural consistency across your markdown knowledge base.
If your markdown wiki has orphan pages and inconsistencies, run the lint capability. It detects these structural issues along with broken links, allowing you to maintain a coherent, interconnected knowledge base during continuous ingestion and querying.
SebasArenClassify raw materials and generate wiki pages from PDFs, notes, and URLs.
danmartinez78Ingest sources into a persistent Markdown wiki with wikilinks and frontmatter.
bordenetValidate and verify Markdown links in documentation before publishing.
Monjyu1101Organize and retrieve information across Markdown notes in an Obsidian vault.
