
Help museum insect curators bulk upload specimen data to the Emu database. Maps any input format to Emu's template, matches localities to existing records, finds parent sites, creates bulk upload tables, and walks users through the upload process.
Convert scanned PDFs and document images into clean Markdown using docling for layout (figures, tables, reading order) plus a vision-language OCR model. Use when a user needs high-quality OCR of scanned documents, historical literature, or photographed pages — preserving multi-column reading order, diacritics, special characters, and figures. Supports local vLLM/Ollama servers and cloud vision APIs (OpenAI, Anthropic). Assumes an OCR backend already exists.
This skill should be used when extracting structured data from scientific PDFs for systematic reviews, meta-analyses, or database creation. Use when working with collections of research papers that need to be converted into analyzable datasets with validation metrics.
Process receipts, track expenses in Google Sheets, reconcile records, and generate entertainment supplement tables for Field Museum procurement card accounting
Set up and execute phylogenetic biogeographic analyses using BioGeoBEARS in R. Use when users request biogeographic reconstruction, ancestral range estimation, or want to analyze species distributions on phylogenies. Handles input file validation, data reformatting, RMarkdown workflow generation, and result visualization.
Generate phylogenies from genome assemblies using BUSCO/compleasm-based single-copy orthologs with scheduler-aware workflow generation
Engages structured analysis to explore multiple perspectives and context dependencies before responding. Use when users ask confirmation-seeking questions, make leading statements, request binary choices, or when feeling inclined to quickly agree or disagree without thorough consideration.