メニュー
GNN system integration and cross-module coordination. Use when coordinating data flow between pipeline steps, resolving cross-module dependencies, or configuring inter-step communication.
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-system-integration |
| description | GNN system integration and cross-module coordination. Use when coordinating data flow between pipeline steps, resolving cross-module dependencies, or configuring inter-step communication. |
Coordinates data flow and communication between pipeline modules. Manages cross-module dependencies, resolves data handoffs, and ensures consistent state across the 25-step pipeline.
# Run integration step
python src/17_integration.py --target-dir input/gnn_files --output-dir output --verbose
# As part of pipeline
python src/main.py --only-steps 17 --verbose
from integration import process_integration
# Process integration step (used by pipeline)
result = process_integration(target_dir, output_dir, verbose=True)
process_integration — main pipeline processing function| Source Step | Target Step | Data Flow |
|---|---|---|
| Step 3 (GNN) | Steps 5–8, 10–11, 13 | Parsed models |
| Step 11 (Render) | Step 12 (Execute) | Generated scripts |
| Step 12 (Execute) | Step 16 (Analysis) | Execution results |
| Step 16 (Analysis) | Step 23 (Report) | Analysis summaries |
output/17_integration_output/This module registers tools with the GNN MCP server (see mcp.py):
check_integration_dependenciesget_integration_statuslist_supported_integrationsprocess_integration