Setup & Installation
Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:
What This Skill Does
Analyzes biodiversity corridors by processing H3 geospatial indices to calculate connectivity scores, landscape resistance, and ecological scenario classifications. It evaluates local habitat quality alongside regional land cover data to classify parcels as corridors, stepping stones, or regeneration zones. Designed for conservation planning and ecological valuation.
Combines local habitat quality and regional landscape structure in a single API call, removing the need to manually integrate separate ecological datasets.
When to use it
- Classifying land parcels for corridor or stepping stone potential
- Prioritizing hexagonal plots for conservation land purchase
- Assessing ecological connectivity between fragmented habitats
- Evaluating landscape resistance around a proposed rewilding site
- Generating scenario labels for ecological premium valuation reports
Example Workflow
Here's how your AI assistant might use this skill in practice.
User asks: Analyze these H3 hexagons near London for biodiversity corridor potential
- 1Generate valid resolution 9 H3 indices for the target land parcels
- 2Send POST request to /api/analyze with centerLat, centerLng, and projectHexes array
- 3Parse the results array to extract scenario labels and priority scores for each hex
- 4Parse the context array to understand surrounding land cover and resistance values
- 5Return a summary of which parcels qualify as Vital Corridor, Stepping Stone, or other scenarios
Each hex is classified with a scenario label, priority score, and resistance value, plus surrounding context hexes showing broader landscape conditions