geo-infer-edu
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.
Best use case
geo-infer-edu is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
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.
Teams using geo-infer-edu 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-EDU/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How geo-infer-edu Compares
| Feature / Agent | geo-infer-edu | 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?
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.
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-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`