Ingest Markdown, text, PDFs, web clippings, and images into an Obsidian wiki.
npx skills add https://github.com/ChrisWiles/wiles-wiki --skill wiki-ingest-chriswiles
Please help me install this Agent Skill. Skill: wiki-ingest Source: https://github.com/ChrisWiles/wiles-wiki/tree/main/.skills/wiki-ingest Command: npx skills add https://github.com/ChrisWiles/wiles-wiki --skill wiki-ingest-chriswiles
The wiki-ingest skill solves the challenge of manually creating and maintaining interconnected wiki pages. It automates the process of extracting knowledge from various sources and integrating it into an Obsidian wiki.
Run the skill with the command 'wiki-ingest <path_to_document>'
High-intent search queries and answers about installing and using this skill.
Automating document ingestion into an Obsidian wiki involves processing formats like Markdown, PDFs, and text to distill knowledge into interconnected pages. This skill handles multi-format extraction and provenance tracking automatically.
Yes, you can extract knowledge from PDFs and web clippings for Obsidian. The ingestion process supports multiple formats including Markdown, text, PDFs, web clippings, and images to build interconnected wiki pages.
Provenance tracking for extracted wiki claims works by providing clear attribution for knowledge distilled from source documents. This maintains content integrity by linking extracted information back to its original input.
The best way to avoid duplicate pages when creating an Obsidian wiki is using QuickMD integration. It identifies related papers during the document ingestion process to prevent redundant page creation.
wiki-ingest does not strictly require QuickMD to process documents, but the integration is used to identify related papers and avoid duplicate pages. Standard ingestion handles Markdown, text, PDFs, and images independently.
Limitations of automating information architecture depend on source document quality and format complexity. While it processes formats like PDFs and web clippings, highly unstructured data may require manual review to ensure accurate wiki interconnection.
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