Educational technology for geospatial learning. Use when creating spatial analysis curricula, interactive GIS exercises, learning progression models, competency assessment for geographic concepts, or step-by-step spatial tutorials.
Scanned 9/1/2026
Install to Claude Code
npx -y skills add ActiveInferenceInstitute/GEO-INFER --skill GEO-INFER-EDU --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: geo-infer-edu
description: Educational technology for geospatial learning. Use when creating spatial analysis curricula, interactive GIS exercises, learning progression models, competency assessment for geographic concepts, or step-by-step spatial tutorials.
prerequisites:
required:
- geo-infer-space
- geo-infer-data
recommended: []
difficulty: beginner
estimated_time: 30min
examples_dir: ../GEO-INFER-EXAMPLES/examples/
---
# GEO-INFER-EDU
## Instructions
### Core Capabilities
- **Curriculum design**: Learning progression modeling for GIS competencies
- **Exercises**: Interactive spatial analysis exercises (template-based with student code)
- **Assessment**: Competency evaluation and skill gap analysis
- **Tutorials**: Step-by-step guided spatial analysis workflows with checkpoints
### Key Imports
```python
from geo_infer_edu.core.curriculum import CurriculumDesigner
from geo_infer_edu.core.exercises import ExerciseGenerator
from geo_infer_edu.core.assessment import CompetencyAssessor
from geo_infer_edu.core.tutorials import TutorialBuilder
```
## Examples
```python
from geo_infer_edu.core.exercises import ExerciseGenerator
generator = ExerciseGenerator(difficulty="intermediate")
exercise = generator.create(
topic="spatial_autocorrelation",
dataset="crime_data",
expected_tool="MoranI"
)
# Students fill in the `pass` block in the generated template
```
## Guidelines
- `exercises.py` contains a `pass` inside a template string for student exercises — this is not production code, it is intentional
### Integrations
- Integrates with MATH for spatial statistics exercises
- Integrates with SPACE for H3 indexing tutorials
- Test: `uv run python -m pytest GEO-INFER-EDU/tests/ -v`
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