メニュー
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.
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 code generation for simulation frameworks. Use when generating PyMDP, RxInfer.jl, ActiveInference.jl, JAX, DisCoPy, PyTorch, NumPyro, Stan, or bnlearn code from GNN model specifications.
| name | gnn-pipeline-orchestration |
| description | 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. |
Manages pipeline configuration, step ordering, execution state, and orchestration logic for the 25-step GNN pipeline. Controls which steps run, their order, and how data flows between them.
# Full pipeline
python src/main.py --target-dir input/gnn_files --verbose
# Run specific steps only
python src/main.py --only-steps "3,5,11,12" --verbose
# Skip specific steps
python src/main.py --skip-steps "15,16" --verbose
# Dry run (show what would execute)
python src/main.py --dry-run --verbose
from pipeline import (
PipelineConfig, StepConfig, STEP_METADATA,
get_pipeline_config, set_pipeline_config,
run_pipeline, get_pipeline_status, validate_pipeline_config,
create_pipeline_config, execute_pipeline_step, execute_pipeline_steps,
get_output_dir_for_script, run_enhanced_health_check,
EnhancedHealthChecker, StepExecutionResult
)
# Create and run pipeline
config = create_pipeline_config(target_dir="input/", output_dir="output/")
result = run_pipeline(config)
# Execute specific steps
result = execute_pipeline_step(step_number=3, config=config)
results = execute_pipeline_steps([3, 5, 11, 12], config=config)
# Get pipeline status
status = get_pipeline_status()
# Validate configuration
is_valid = validate_pipeline_config(config)
# Health checking
checker = EnhancedHealthChecker()
health = run_enhanced_health_check()
PipelineConfig / StepConfig — configuration dataclassesSTEP_METADATA — metadata for all 25 stepsrun_pipeline — execute the full pipelineexecute_pipeline_step / execute_pipeline_steps — step-level executioncreate_pipeline_config / validate_pipeline_config — configurationEnhancedHealthChecker / run_enhanced_health_check — health monitoringStepExecutionResult — step result dataclass| Option | Description |
|---|---|
--target-dir | Input directory containing GNN files |
--output-dir | Output directory for all results |
--only-steps | Comma-separated list of steps to run |
--skip-steps | Comma-separated list of steps to skip |
--verbose | Enable detailed logging |
--strict | Fail on warnings (default: continue) |
output/pipeline_execution_summary.json — Comprehensive execution reportoutput/N_step_output/)This module registers tools with the GNN MCP server (see mcp.py):
get_pipeline_config_infoget_pipeline_statusget_pipeline_stepsvalidate_pipeline_dependencies