GBIF Species Occurrence Search Starter
SkillSearchUse this skill to query the official GBIF API for a canonical species match and a small live occurrence sample.
Use GBIF Species Occurrence Search Starter in Claude, ChatGPT or Ahel Desktop
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Also: Claude Code · Cursor · Codex
Then ask your AI: use the GBIF Species Occurrence Search Starter skill
Details
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; Ahel provides instructions and does not run this skill.
No other account needed.
Add Ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
About this skill
A framework for discovering, compiling, and validating reusable skills for scientific agents.
What this skill tells your AI
The instructions your AI receives, as published by ma-compbio-lab/skillfoundry in skills/ecology-evolution-and-biodiversity/gbif-species-occurrence-search-starter/SKILL.md and read by Ahel’s review.
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
Signals
- GitHub stars
- 42
- Forks
- 5
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
gbif-species-occurrence-search-starter- Source
- github.com/ma-compbio-lab/skillfoundry