allbeingsfuture/skills@notebooklm

Cross-document synthesis with citations is achieved by uploading PDFs and running iterative Q&A. The system extracts key findings, highlights cross-document contradictions, traces provenance for each claim, and exports a structured Markdown report.

Yes, generating reveal.js slide decks from research transcripts is supported. The system ingests transcripts, synthesizes cross-source evidence, and exports presentation-ready HTML/reveal.js slides with explicit citations backing each conclusion.

Creating Mermaid diagrams from literature reviews involves uploading academic papers and requesting visual cross-document synthesis. The system maps relationships across sources and outputs Mermaid diagrams to visualize findings and contradictions.

Yes, document ingestion supports audio transcripts, Google Docs, Google Slides, and webpages. The system performs source metadata checks and quality validation before generating citation-backed answers and infographic-style visual hierarchy specs.

Tracing provenance during competitive analysis is handled through explicit source citations. The system supports multi-round queries, validating each claim against uploaded documents to surface consistent findings and highlight contradictions.

Automated document research for multi-format exports requires uploaded source documents to function. It cannot generate citations independently of provided files, meaning provenance tracing and cross-document validation are strictly limited to ingested PDFs, transcripts, and webpages.