geo-infer-emergency
Emergency management and disaster response. Use when planning search and rescue, optimizing emergency resource deployment, modeling disaster scenarios, coordinating evacuation routes, or managing multi-agency response logistics.
Best use case
geo-infer-emergency is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Emergency management and disaster response. Use when planning search and rescue, optimizing emergency resource deployment, modeling disaster scenarios, coordinating evacuation routes, or managing multi-agency response logistics.
Teams using geo-infer-emergency 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-EMERGENCY/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How geo-infer-emergency Compares
| Feature / Agent | geo-infer-emergency | 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?
Emergency management and disaster response. Use when planning search and rescue, optimizing emergency resource deployment, modeling disaster scenarios, coordinating evacuation routes, or managing multi-agency response logistics.
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-EMERGENCY
## Instructions
### Core Capabilities
- **Search and rescue**: SAR area prioritization, probability mapping, detection models
- **Resource deployment**: Facility location, logistics optimization, capacity planning
- **Disaster modeling**: Impact assessment, scenario simulation, cascading failures
- **Evacuation**: Route planning, shelter capacity, population flow analysis
- **Coordination**: Multi-agency response, resource allocation, real-time tracking
### Key Imports
```python
from geo_infer_emergency.core.sar import SearchAndRescue
from geo_infer_emergency.core.resource_deployment import ResourceOptimizer
from geo_infer_emergency.core.disaster import DisasterModel
from geo_infer_emergency.core.evacuation import EvacuationPlanner
```
## Examples
```python
from geo_infer_emergency.core.sar import SearchAndRescue
sar = SearchAndRescue()
priority_map = sar.compute_priority(
last_known_position=(45.5, -122.6),
terrain_data=terrain_raster,
time_elapsed_hours=6
)
search_cells = sar.plan_search_pattern(priority_map, n_teams=4)
```
## Guidelines
- Resource deployment optimization in development (Alpha)
### Integrations
- Integrates with TRANSPORT for evacuation route optimization
- Integrates with COMMS for emergency notification broadcasting
- Test: `uv run python -m pytest GEO-INFER-EMERGENCY/tests/ -v`