What problem does it solve?
Researchers and knowledge workers accumulate raw sources—academic papers, articles, video notes—but struggle to transform them into interconnected, queryable knowledge bases. Manual wiki creation is time-consuming, and one-off RAG queries fail to build cumulative understanding over time. This Skill automates the compilation of scattered sources into a structured, backlinked wiki while maintaining strict source traceability and trust boundaries.
Core Features & Use Cases
- Incremental Source Compilation: Ingest PDFs, articles, and notes with SHA-256 deduplication, then compile them into structured wiki pages with concepts, entities, and themes extracted by an LLM.
- Layered Trust Model: A four-layer architecture (raw → wiki → outputs → curated) ensures agent-generated content remains isolated until explicitly promoted, preventing pollution of your personal Obsidian vault.
- Research Q&A and Health Checks: Ask questions directly against the compiled wiki, generate reports or slides, and run maintenance scans to find broken links, unsourced claims, and knowledge gaps.
- Obsidian Integration: Bidirectional sync with your main Obsidian vault—seed new workspaces with existing notes and promote validated insights back to your primary knowledge base.
Quick Start
Use the kk-vault skill to ingest your research papers and compile them into a structured wiki, then ask questions about the compiled knowledge base and promote the best insights to your Obsidian vault.