Ecology & Environmental Science — 5 Skills

SkillMonitoring & ops

5 ecology & environmental science skills. Trigger: biodiversity surveys, species data, environmental monitoring. Design: field data collection, spatial analysis, and conservation biology workflows.

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Then ask your AI: use the Ecology & Environmental Science skill

What this skill tells your AI

The instructions your AI receives, as published by brycewang-stanford/auto-empirical-research-skills in skills/43-wentorai-research-plugins/skills/domains/ecology/SKILL.md and read by ahel’s review.

Select the skill matching the user's need, then read its SKILL.md.

SkillDescription
biodiversity-data-guideBiodiversity data access, species occurrence, and ecological tools
conservation-biology-guideApply conservation biology methods, databases, and assessment tools
gbif-apiGlobal biodiversity data API for species occurrences and datasets
inaturalist-apiCitizen science platform API for biodiversity observations
species-distribution-guideSpecies distribution modeling with MaxEnt, SDM methods, and GBIF data

Signals

GitHub stars
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Last commit
Sep 2026
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Item type
skill
Key
ecology-skills
Source
github.com/brycewang-stanford/auto-empirical-research-skills