What problem does it solve? Adding new knowledge to a personal Obsidian wiki is tedious: you must read each source, decide which pages to create or update, track provenance, and wire cross-links by hand. This Skill automates that entire distillation pipeline so any source becomes structured, interlinked wiki pages. ## Core Features & Use Cases - Multi-format ingestion: Handles PDFs (including academic papers with figure/equation extraction), markdown, chat exports (ChatGPT, Slack), CSV/JSON data, images via vision, web URLs, and git repositories. - Incremental and staged workflows: Append mode skips unchanged sources via content hashing, raw mode promotes _raw/ drafts, and staged writes route new pages to _staging/ for review before publishing. - Provenance and structure: Every claim is tagged as extracted, inferred, or ambiguous; pages get typed relationships, summaries, and wikilinks; a manifest tracks all ingested sources. - Use Case: Point the skill at a folder of research PDFs and meeting transcripts; it batch-plans the work, extracts concepts and entities, and produces cross-linked wiki pages with page-cited provenance. ## Quick Start Ask the agent to ingest a source into your wiki, for example: add this PDF and my ChatGPT export to my Obsidian wiki.