メニュー
GNN model versioning and registry management. Use when registering parsed models, tracking model versions, querying model metadata (author, license, version), or managing the model catalog.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
Generalized Notation Notation (GNN) processing pipeline for Active Inference generative models. Use when working with GNN files, running the 25-step pipeline, parsing model specifications, generating simulations, or producing visualizations and reports from GNN model definitions.
GNN command-line interface dispatch and health checks. Use when invoking the `gnn` CLI, validating subcommand availability, or checking command-line access to pipeline modules.
GNN LLM-enhanced analysis and model interpretation. Use when generating natural language descriptions of GNN models, getting AI-assisted model explanations, or performing LLM-powered analysis of Active Inference specifications.
GNN Language Server Protocol integration. Use when starting editor diagnostics, checking hover behavior, or validating LSP support for GNN files.
GNN Model Context Protocol processing and tool registration. Use when registering GNN operations as MCP tools, building MCP server configurations, or integrating GNN capabilities with LLM tool-use workflows.
GNN pipeline orchestration and configuration management. Use when configuring pipeline execution, setting step inclusion/exclusion, managing pipeline state, or customizing the 25-step execution flow.
| name | gnn-model-registry |
| description | GNN model versioning and registry management. Use when registering parsed models, tracking model versions, querying model metadata (author, license, version), or managing the model catalog. |
Manages a registry of parsed GNN models with versioning, metadata extraction, and catalog management. Tracks model lineage including author, license, and version information.
# Run model registry step
python src/4_model_registry.py --target-dir input/gnn_files --output-dir output --verbose
# As part of pipeline
python src/main.py --only-steps 4 --verbose
from model_registry import ModelRegistry, process_model_registry
# Use the registry class
registry = ModelRegistry()
# Process model registry step (used by pipeline)
result = process_model_registry(target_dir, output_dir, verbose=True)
ModelRegistry — class managing model catalog, versioning, and metadataprocess_model_registry — main processing function for pipeline integrationThe registry automatically extracts:
output/4_model_registry_output/This module registers tools with the GNN MCP server (see mcp.py):
model_registry.get_modelmodel_registry.list_modelsmodel_registry.register_modelmodel_registry.search_models