Place lab supply orders from member requests — route by request header to Amazon Business, the Pritzker Lab Google Form, or a direct vendor; stage the cart/form and stop for human review before any purchase. Use when the user pastes an order request or asks to order supplies, place an order, or fill the Pritzker form.
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.
Process receipts, track expenses in Google Sheets, reconcile records, and generate entertainment supplement tables for Field Museum procurement card accounting
Generate phylogenies from genome assemblies using BUSCO/compleasm-based single-copy orthologs with scheduler-aware workflow generation
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.
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.