geo-infer-intra

Central documentation hub and cross-module integration guides for GEO-INFER. Use when navigating documentation, finding cross-module integration patterns, understanding data flow architecture, or locating tutorials and API references.

Best use case

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

Central documentation hub and cross-module integration guides for GEO-INFER. Use when navigating documentation, finding cross-module integration patterns, understanding data flow architecture, or locating tutorials and API references.

Teams using geo-infer-intra 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-INTRA/SKILL.md --create-dirs "https://raw.githubusercontent.com/ActiveInferenceInstitute/GEO-INFER/main/GEO-INFER-INTRA/SKILL.md"

Manual Installation

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

How geo-infer-intra Compares

Feature / Agentgeo-infer-intraStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Central documentation hub and cross-module integration guides for GEO-INFER. Use when navigating documentation, finding cross-module integration patterns, understanding data flow architecture, or locating tutorials and API references.

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-INTRA

## Instructions

### Core Capabilities

- **Documentation hub**: Central `docs/` directory with comprehensive guides
- **Integration guides**: Cross-module data flow patterns and examples
- **Architecture docs**: System design diagrams, module dependency graph
- **API reference**: Consolidated API documentation for all 44 modules
- **Tutorials**: Step-by-step workflows spanning multiple modules

### Key Directories

```text
GEO-INFER-INTRA/docs/
├── guides/          # How-to guides for common workflows
├── tutorials/       # Step-by-step multi-module tutorials
├── integration/     # Cross-module integration patterns
├── architecture/    # System design and data flow diagrams
└── api/             # Consolidated API reference
```

### Cross-Module Integration Pattern

```python
# Example: SPACE → MATH → BAYES pipeline
from geo_infer_space.backends.h3 import H3Backend
from geo_infer_math.core.spatial_statistics import MoranI
from geo_infer_bayes.core.bayesian_inference import BayesianModel

# 1. Index → 2. Analyze → 3. Model
cells = H3Backend().tessellate(region, resolution=7)
autocorrelation = MoranI(values, weights).compute()
posterior = BayesianModel().fit(data)
```

## Examples

```python
# Multi-module data flow: DATA → SPACE → MATH → BAYES
from geo_infer_data.formats.geojson import GeoJSONLoader
from geo_infer_space.backends.h3 import H3Backend
from geo_infer_math.core.spatial_statistics import MoranI
from geo_infer_bayes.core.bayesian_inference import BayesianModel

# 1. Load → 2. Index → 3. Analyze → 4. Model
features = GeoJSONLoader().load("observations.geojson")
cells = H3Backend().tessellate(features.bounds, resolution=7)
autocorrelation = MoranI(values, weights).compute()
posterior = BayesianModel().fit(data)
```

```python
# Onboarding: discover module capabilities
import importlib
for module_name in ["math", "space", "bayes", "act", "risk"]:
    mod = importlib.import_module(f"geo_infer_{module_name}")
    print(f"geo_infer_{module_name}: {mod.__doc__ or 'No docstring'}")
```

## Guidelines

- Start here when onboarding to GEO-INFER
- Each module's README.md and AGENTS.md provide module-level detail
- Each module's SKILL.md provides quick-reference for Claude Code
- Test: `uv run python -m pytest GEO-INFER-INTRA/tests/ -v`

### Integrations

- **EXAMPLES** → Working code examples referenced from docs
- **All modules** → Central hub linking all module documentation
- **TEST** → Documentation-driven testing patterns

Related Skills

We are still matching the closest adjacent skills for this page. In the meantime, continue through the full directory.