메뉴
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.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
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-code-generation |
| description | 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. |
Generates executable simulation code from parsed GNN models targeting multiple Active Inference frameworks. Performs pre-render validation of POMDP structures and matrix normalization.
# Render code for all frameworks
python src/11_render.py --target-dir input/gnn_files --output-dir output --verbose
# As part of pipeline
python src/main.py --only-steps 11 --verbose
| Framework | Language | Subdirectory | Output |
|---|---|---|---|
| PyMDP | Python | render/pymdp/ | .py scripts |
| RxInfer.jl | Julia | render/rxinfer/ | .jl scripts |
| ActiveInference.jl | Julia | render/activeinference_jl/ | .jl scripts |
| JAX | Python | render/jax/ | .py scripts |
| DisCoPy | Python | render/discopy/ | .py scripts |
| PyTorch | Python | render/pytorch/ | .py scripts |
| NumPyro | Python | render/numpyro/ | .py scripts |
| Stan | Stan | render/stan/ | .stan models |
| bnlearn | Python | generator-backed | .py scripts |
from render import (
process_render, render_gnn_spec, get_supported_frameworks,
validate_render, PyMDPRenderer, JAXRenderer
)
# Render for all frameworks (used by pipeline)
process_render(target_dir, output_dir, verbose=True)
# Render a single GNN spec
result = render_gnn_spec(parsed_spec, framework="pymdp")
# Canonical POMDP rendering
success, message, files = render_gnn_spec(parsed_model, "rxinfer", "output/11_render_output")
# Query supported frameworks
frameworks = get_supported_frameworks() # ['pymdp', 'rxinfer', ..., 'stan', 'bnlearn']
# Validate render output
validate_render(result, framework="pymdp")
process_render / render_gnn_spec — core rendering functionsPyMDPRenderer / JAXRenderer — renderer classesget_supported_frameworks / validate_render — utilitiesThe render processor follows a structured pipeline for each GNN file:
# Core rendering (no extra deps needed)
uv sync
# For Julia frameworks (RxInfer.jl, ActiveInference.jl)
# Requires Julia installed and packages available in the active Julia environment
julia --startup-file=no -e 'using RxInfer, ActiveInference, JSON, Distributions, StatsBase'
# For DisCoPy
uv sync --extra graphs
output/11_render_output/pymdp/, rxinfer/, activeinference_jl/, jax/, discopy/, pytorch/, numpyro/, stan/, bnlearn/| Issue | Solution |
|---|---|
| Empty render output | Check GNN file has valid StateSpaceBlock section |
| Matrix normalization warnings | Verify matrix dimensions match connections |
| Julia framework errors | Ensure Julia is installed and packages available |
This module registers tools with the GNN MCP server (see mcp.py):
get_render_module_infolist_render_frameworksprocess_renderrender_gnn_to_format