From mims-harvard-tooluniverse
Provides reasoning strategies for ecology and biodiversity research: species identification via GBIF/WoRMS, invasive species impacts, pollinator ecology, population dynamics, trophic interactions. For any ecology question.
npx claudepluginhub joshuarweaver/cascade-data-analytics --plugin mims-harvard-tooluniverseThis skill uses the workspace's default tool permissions.
When a question involves identifying or comparing species:
Conducts multi-round deep research on GitHub repos via API and web searches, generating markdown reports with executive summaries, timelines, metrics, and Mermaid diagrams.
Dynamically discovers and combines enabled skills into cohesive, unexpected delightful experiences like interactive HTML or themed artifacts. Activates on 'surprise me', inspiration, or boredom cues.
Generates images from structured JSON prompts via Python script execution. Supports reference images and aspect ratios for characters, scenes, products, visuals.
When a question involves identifying or comparing species:
GBIF_search_species to get taxonomy, WoRMS_search_species for marine organismsPubMed_search_articles or EuropePMC_search_articles to find studies on specific ecological impactsReasoning framework — when comparing invasive species impacts:
Reasoning framework for pollination questions:
Reasoning framework for population ecology questions:
| Tool | Use For |
|---|---|
GBIF_search_species | Species taxonomy, occurrence data, distribution |
GBIF_search_occurrences | Where has a species been observed? |
WoRMS_search_species | Marine species taxonomy |
ensembl_get_taxonomy | Taxonomic classification |
NCBIDatasets_get_taxonomy | NCBI taxonomy lookup |
PubMed_search_articles | Literature on ecology topics |
EuropePMC_search_articles | European literature including ecology |
Ecology questions often have counter-intuitive answers. For example:
Always search the literature before answering ecology questions. Use PubMed_search_articles with specific terms like "[species] invasive impact [region]" or "[organism] [ecological process]".
When analysis requires computation (statistics, data processing, scoring, enrichment), write and run Python code via Bash. Don't describe what you would do — execute it and report actual results. Use ToolUniverse tools to retrieve data, then Python (pandas, scipy, statsmodels, matplotlib) to analyze it.