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.
Best use case
geo-infer-bio is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Biodiversity analysis and ecological modeling. Use when analyzing species distributions, habitat connectivity, biodiversity indices, ecological networks, conservation planning, or ecosystem health assessment.
Teams using geo-infer-bio should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/GEO-INFER-BIO/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How geo-infer-bio Compares
| Feature / Agent | geo-infer-bio | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Biodiversity analysis and ecological modeling. Use when analyzing species distributions, habitat connectivity, biodiversity indices, ecological networks, conservation planning, or ecosystem health assessment.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# 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
```python
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
```python
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`