activeinferenceinstitute/gnn-research-tools
src/research/SKILL.md
GNN research tools and experimental features. Use when running experimental analyses, prototyping new pipeline features, conducting research experiments on GNN models, or exploring novel Active Inference patterns.
$ install --global
skillsauthnpx skillsauth add activeinferenceinstitute/generalizednotationnotation gnn-research-toolsInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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SKILL.md
- name:
- gnn-research-tools
- description:
- GNN research tools and experimental features. Use when running experimental analyses, prototyping new pipeline features, conducting research experiments on GNN models, or exploring novel Active Inference patterns.
GNN Research Tools (Step 19)
Purpose
Provides experimental and research-oriented tools for exploring novel Active Inference patterns, prototyping new pipeline capabilities, and conducting research experiments on GNN model collections.
Key Commands
# Run research tools
python src/19_research.py --target-dir input/gnn_files --output-dir output --verbose
# As part of pipeline
python src/main.py --only-steps 19 --verbose
API
from research import process_research
# Process research step (used by pipeline)
result = process_research(target_dir, output_dir, verbose=True)
Key Exports
process_research— main pipeline processing function
Capabilities
- Experimental analysis: Novel analysis methods in development
- Prototyping: Rapid prototyping of new pipeline features
- Pattern exploration: Discover patterns across model collections
- Benchmarking: Performance benchmarks for pipeline operations
Output
- Research outputs in
output/19_research_output/ - Experimental analysis results
MCP Tools
This module registers tools with the GNN MCP server (see mcp.py):
process_researchlist_research_topicsread_research_results
References
- AGENTS.md — Module documentation
- README.md — Usage guide
- SPEC.md — Module specification
Documentation
- README: Module Overview
- AGENTS: Agentic Workflows
- SPEC: Architectural Specification
- SKILL: Capability API
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