geo-infer-cog

Cognitive modeling for geospatial agents including attention, memory, and trust. Use when implementing spatial attention mechanisms, working memory for geographic contexts, or trust dynamics in multi-agent geospatial systems.

10 stars

byActiveInferenceInstitute

View on GitHub Installation ↓

Best use case

geo-infer-cog is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Teams using geo-infer-cog 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

$curl -o ~/.claude/skills/GEO-INFER-COG/SKILL.md --create-dirs "https://raw.githubusercontent.com/ActiveInferenceInstitute/GEO-INFER/main/GEO-INFER-COG/SKILL.md"

Manual Installation

Download SKILL.md from GitHub
Place it in .claude/skills/GEO-INFER-COG/SKILL.md inside your project
Restart your AI agent — it will auto-discover the skill

How geo-infer-cog Compares

Feature / Agent	geo-infer-cog	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?

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-COG

## Instructions

### Core Capabilities

- **Spatial attention**: Selective attention to geographic regions
- **Working memory**: Context-dependent spatial memory buffers
- **Trust dynamics**: Agent trust modeling in collaborative environments
- **Cognitive load**: Resource allocation for spatial reasoning
- **Mental models**: Internal representations of spatial environments

### Key Imports

```python
from geo_infer_cog.core.attention import SpatialAttention
from geo_infer_cog.core.memory import WorkingMemory
from geo_infer_cog.core.trust import TrustModel
```

## Examples

```python
from geo_infer_cog.core.attention import SpatialAttention

attention = SpatialAttention(resolution=7)
salience_map = attention.compute(observations, priors)
focus_region = attention.select_focus(salience_map)
```

## Guidelines

- Currently Alpha status — attention and memory models in development

### Integrations

- Integrates with ACT for Active Inference-based cognitive architectures
- Test: `uv run python -m pytest GEO-INFER-COG/tests/ -v`

Related Skills

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