What problem does it solve?
Answering ecology and biodiversity questions accurately requires looking up authoritative taxonomic, occurrence, and conservation data rather than relying on general knowledge, which is often counter-intuitive. This Skill guides AI agents through structured reasoning frameworks and the right biodiversity databases to produce evidence-based answers.
Core Features & Use Cases
- Species & Taxonomy Lookup: Resolve species names, navigate the GBIF taxonomic tree (parents, children, synonyms, vernacular names), and query marine taxonomy via WoRMS and specimen records via iDigBio.
- Conservation & Invasive Species Assessment: Retrieve IUCN Red List status and apply reasoning frameworks for invasive species impact, pollinator ecology, population dynamics, and community ecology.
- Literature-Grounded Analysis: Search PubMed and Europe PMC for ecological studies, then compute statistics (survival analysis, growth models) in Python rather than describing them.
- Use Case: A researcher asks whether honeybees harm native pollinators in North America. The Skill looks up Apis mellifera taxonomy in GBIF, searches literature for invasion impact studies, and synthesizes an evidence-based answer.
Quick Start
Ask the agent to look up the conservation status and invasive impact of a species, for example: "What is the IUCN status of Panthera leo and what does the literature say about its population trends?"