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Gbif species occurrence search starter

Skill ma-compbio-lab/SkillFoundry/skills/ecology-evolution-and-biodiversity/gbif-species-occurrence-search-starter

A framework for discovering, compiling, and validating reusable skills for scientific agents.

Install
npx -y skills add ma-compbio-lab/SkillFoundry --skill gbif-species-occurrence-search-starter

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

SKILL.md

1.1 KB, 256 tokens by cl100k_base, as published. Nobody here has run it

GBIF Species Occurrence Search Starter

Use this skill to query the official GBIF API for a canonical species match and a small live occurrence sample.

What it does

  • Resolves a scientific name against the GBIF species matcher.
  • Fetches a compact occurrence sample with optional country filtering.
  • Returns a normalized JSON summary suitable for biodiversity data discovery and early species-distribution workflows.

When to use it

  • You need a verified starter for Species distribution modeling.
  • You want a lightweight live biodiversity occurrence query without adding a heavyweight geospatial stack first.

Example

python3 skills/ecology-evolution-and-biodiversity/gbif-species-occurrence-search-starter/scripts/run_gbif_species_occurrence_search.py \
  --scientific-name "Puma concolor" \
  --country US \
  --out scratch/gbif/puma_concolor_us.json

Verification

  • Skill-local tests: python3 -m unittest discover -s skills/ecology-evolution-and-biodiversity/gbif-species-occurrence-search-starter/tests -p 'test_*.py'
  • Repository smoke: python3 -m unittest tests.smoke.test_phase30_empty_domain_seed_skills -v

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.