ActiveInferenceInstitute

geo-infer-bio

Biodiversity analysis and ecological modeling. Use when analyzing species distributions, habitat connectivity, biodiversity indices, ecological networks, conservation planning, or ecosystem health assessment.

ActiveInferenceInstitute 15 2 Updated 6mo ago

Resources

11
GitHub

Install

npx skillscat add activeinferenceinstitute/geo-infer/geo-infer-bio

Install via the SkillsCat registry.

About this skill

Here's a thinking process: 1. **Analyze the Request:** - **Task:** Write a 2-3 sentence plain-text summary in English - **Subject:** An AI agent skill for biodiversity analysis and ecological modeling (GEO-INFER-BIO) - **Key points to cover:** What it does, what problem it solves, when to use it - **Constraints:** - Objective, factual tone - No marketing language, no superlatives, no calls to action - Natural prose, no bullet points, no headings, no markdown - Do not wrap in quotes - At most 60 words - **Output:** ONLY the summary text 2.

SKILL.md

GEO-INFER-BIO

Instructions

Core Capabilities

  • Species distribution: Habitat suitability modeling, range mapping
  • Biodiversity indices: Shannon, Simpson, species richness, evenness
  • Habitat connectivity: Corridor analysis, fragmentation metrics
  • Ecological networks: Food webs, mutualistic networks, trophic cascades
  • Conservation planning: Priority area identification, gap analysis

Key Imports

from geo_infer_bio.core.biodiversity import BiodiversityAnalyzer
from geo_infer_bio.core.habitat import HabitatModel
from geo_infer_bio.core.connectivity import ConnectivityAnalyzer
from geo_infer_bio.core.ecosystem import EcosystemHealthAssessor

Examples

from geo_infer_bio.core.biodiversity import BiodiversityAnalyzer

analyzer = BiodiversityAnalyzer()
indices = analyzer.compute_indices(species_data)
print(f"Shannon: {indices.shannon}, Simpson: {indices.simpson}")

# Hotspot detection
hotspots = analyzer.detect_hotspots(species_grid, threshold=0.95)

Guidelines

Integrations

  • Integrates with SPACE for H3-based habitat tessellation
  • Integrates with CLIMATE for climate-driven species range shifts
  • Integrates with FOREST for canopy-biodiversity correlations
  • Test: uv run python -m pytest GEO-INFER-BIO/tests/ -v

Categories