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Tooluniverse Ecology Biodiversity

  • 190 installs
  • 1.6k repo stars
  • Updated August 4, 2026
  • mims-harvard/tooluniverse

Explore species distributions, ecological interactions, and biodiversity datasets via ToolUniverse to support conservation questions and environmental research planning.

About

ToolUniverse ecology-biodiversity skill enables agents to query ecological and biodiversity repositories for species occurrence, traits, and interaction context. It supports early research planning by consolidating heterogeneous environmental data into structured summaries conservation and ecology teams can use to refine study questions.

  • Species and habitat dataset access
  • Biodiversity interaction queries
  • Conservation-oriented evidence gathering
  • ToolUniverse ecology integrations
  • Agent-synthesized ecological context

Tooluniverse Ecology Biodiversity by the numbers

  • 190 all-time installs (skills.sh)
  • +5 installs in the week ending Aug 4, 2026 (Skillselion tracking)
  • Ranked #663 of 2,064 Data Science & ML skills by installs in the Skillselion catalog
  • Data as of Aug 5, 2026 (Skillselion catalog sync)
npx skills add https://github.com/mims-harvard/tooluniverse --skill tooluniverse-ecology-biodiversity

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Listed on Skillselion
Installs190
repo stars1.6k
Last updatedAugust 4, 2026
Repositorymims-harvard/tooluniverse

What it does

Explore species distributions, ecological interactions, and biodiversity datasets via ToolUniverse to support conservation questions and environmental research planning.

Files

SKILL.mdMarkdownGitHub ↗

Ecology & Biodiversity Research

Reasoning Strategy

1. Species & Taxonomy Questions

When a question involves identifying or comparing species: 1. LOOK UP DON'T GUESS — Use GBIF_search_species to get taxonomy, WoRMS_search_species for marine organisms 2. If the question asks about invasive species impacts, consider: ecological niche overlap, reproductive rate, predator release, and ecosystem engineering effects 3. Use PubMed_search_articles or EuropePMC_search_articles to find studies on specific ecological impacts

2. Invasive Species Impact Assessment

Reasoning framework — when comparing invasive species impacts: 1. Identify the ecosystem: What habitat/biome is affected? 2. Assess impact mechanisms: Competition? Predation? Disease vector? Habitat modification? Hybridization? 3. Scale of impact: Local (single site) vs regional vs continental? 4. Trophic position: Invasives at higher trophic levels (predators) often cause more damage than lower (herbivores) 5. Ecosystem engineering: Species that modify habitats (beavers, earthworms, honeybees displacing native pollinators) cause outsized impacts 6. Look up specifics — don't rely on general knowledge. Search for "[species name] invasive impact [region]" in literature

3. Pollinator Ecology

Reasoning framework for pollination questions: 1. Foraging behavior: Distinguish investigation (approach/assessment) from actual feeding (proboscis insertion) 2. Interaction types: Mutualistic (pollination reward), parasitic (nectar robbing), commensal 3. Observation methods: Camera traps have resolution/FOV limitations — consider what's identifiable at given resolution 4. Statistical considerations: Observer agreement (inter-rater reliability), sampling effort, temporal patterns 5. Ethogram interpretation: Each behavior category has specific start/end criteria — follow them precisely

4. Population Dynamics

Reasoning framework for population ecology questions: 1. Growth models: Exponential (unlimited), logistic (K-limited), Allee effects (low-density problems) 2. Extinction analysis: Distinguish deterministic extinction (r < 0) from stochastic extinction (small population fluctuations) 3. Survival analysis: Time-to-event analysis needs appropriate statistical tests (log-rank, Cox regression, Kaplan-Meier) 4. Microbial ecology: For microbial stressor responses, use survival curve analysis with time-kill kinetics. To compare extinction points between populations, you need time-to-extinction data analyzed with survival statistics (not just endpoint comparisons)

5. Community Ecology & Food Webs

1. Trophic cascades: Removing top predators → mesopredator release → prey decline 2. Keystone species: Disproportionate impact relative to abundance 3. Island biogeography: Species-area relationship, distance-colonization tradeoff 4. Competitive exclusion: Two species cannot stably coexist on single limiting resource (Gause's principle)

6. Evolutionary Ecology

1. Aposematism: Warning coloration signals toxicity/unpalatability 2. Mimicry: Batesian (harmless mimics dangerous) vs Mullerian (dangerous mimics dangerous) 3. Life history tradeoffs: r-selected (many offspring, low investment) vs K-selected (few offspring, high investment) 4. Birth-death models: For phylogenetic questions, identifiability issues arise with time-varying rates. Strategies to resolve: constrain rate variation, add fossil data, use molecular data calibration, or restrict to specific functional forms

Available Tools

ToolUse For
IUCN_get_conservation_statusRed List conservation status (CR/EN/VU/NT/LC) by scientific name — the authoritative extinction-risk source (needs a free IUCN_API_KEY)
GBIF_search_speciesSpecies taxonomy, occurrence data, distribution
GBIF_search_occurrencesWhere has a species been observed?
GBIF_get_taxon_parentsWalk UP the GBIF Backbone tree — ranked ancestor lineage (kingdom→genus) for a taxonKey
GBIF_get_taxon_childrenWalk DOWN the tree — direct child taxa (e.g. species in a genus) for a taxonKey
GBIF_get_taxon_synonymsAlternative / historical scientific names for an accepted taxonKey
GBIF_get_vernacular_namesCommon names (with language code) for a taxonKey; optional language filter
GBIF_parse_nameParse messy/authored name strings into canonical name + genus/epithet/author/year
iDigBio_search_recordsSearch 130M+ digitized museum/herbarium specimen records (Darwin Core) by genus/scientificname/locality — use to complement GBIF with physical-specimen provenance
iDigBio_get_recordFull Darwin Core detail for one specimen by uuid (from iDigBio_search_records)
WoRMS_search_speciesMarine species taxonomy
ensembl_get_taxonomyTaxonomic classification
NCBIDatasets_get_taxonomyNCBI taxonomy lookup
PubMed_search_articlesLiterature on ecology topics
EuropePMC_search_articlesEuropean literature including ecology

Navigating the GBIF taxonomic tree

Resolve a name to a GBIF usageKey once, then navigate the Backbone tree:

key = tu.run_tool("GBIF_match_name", {"name": "Panthera leo"})["data"]["usageKey"]  # 5219404
tu.run_tool("GBIF_get_taxon_parents", {"taxon_key": key})        # Animalia→...→Felidae→Panthera
tu.run_tool("GBIF_get_taxon_synonyms", {"taxon_key": key})       # Felis leo Linnaeus, 1758, ...
tu.run_tool("GBIF_get_vernacular_names", {"taxon_key": key, "language": "eng"})  # Lion, African Lion
# Walk down from a genus key (Panthera = 2435194) to its species:
tu.run_tool("GBIF_get_taxon_children", {"taxon_key": 2435194, "limit": 8})
# Normalize an authored name string without a key:
tu.run_tool("GBIF_parse_name", {"name": "Quercus robur L."})     # canonicalName 'Quercus robur'

All five tools hit the public GBIF API with no key. Get the starting taxon_key from GBIF_match_name or GBIF_search_species.

LOOK UP DON'T GUESS

Ecology questions often have counter-intuitive answers. For example:

  • Honeybees (Apis mellifera) are invasive in the Americas and displace native pollinators — this surprises people who think of bees as "good"
  • The most damaging invasive species are often not the most obvious ones
  • Microbial extinction points require survival analysis, not simple t-tests

Always search the literature before answering ecology questions. Use PubMed_search_articles with specific terms like "[species] invasive impact [region]" or "[organism] [ecological process]".

COMPUTE, DON'T DESCRIBE

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.

Related skills

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