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GNN pipeline template and initialization system. Use when creating new pipeline steps, bootstrapping project structure, or understanding the thin orchestrator pattern for GNN module development.
默认使用会先检查来源的 Prompt；你也可以切换为直接命令，或下载本地副本。
决定是否安装前，请先阅读 SKILL.md，以及 SkillsMP 当前展示的配套文件。
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt；运行前请先检查来源。
npx skills add https://github.com/ActiveInferenceInstitute/GeneralizedNotationNotation --skill gnn-template-init命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
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 comprehensive test suite execution and management. Use when running tests, writing new test cases, checking coverage, debugging test failures, or validating pipeline correctness across all 25 GNN modules.
GNN graph and matrix visualization generation. Use when creating network graph plots, matrix heatmaps, state space diagrams, or other visual representations of GNN models.
正在显示 SKILL.md
| name | gnn-template-init |
| description | GNN pipeline template and initialization system. Use when creating new pipeline steps, bootstrapping project structure, or understanding the thin orchestrator pattern for GNN module development. |
Initializes the pipeline environment and provides the canonical template for creating new pipeline steps. This is the entry point for the 25-step GNN pipeline.
# Run template initialization
python src/0_template.py --target-dir input/gnn_files --output-dir output --verbose
# Use as part of full pipeline
python src/main.py --only-steps 0 --verbose
from template import (
process_template_standardized,
process_single_file,
validate_file,
generate_correlation_id,
safe_template_execution,
demonstrate_utility_patterns,
get_version_info,
)
# Process template step (used by pipeline)
result = process_template_standardized(target_dir, output_dir, logger)
# Process a single file
result = process_single_file(file_path, output_dir, logger)
# Validate a file
is_valid = validate_file(file_path)
# Generate correlation ID for tracing
corr_id = generate_correlation_id()
process_template_standardized — main pipeline processing functionprocess_single_file — process individual filevalidate_file — file validationgenerate_correlation_id — unique ID for pipeline tracingsafe_template_execution — execution with error handlingget_version_info — module version metadata# N_module.py — Thin orchestrator (<150 lines)
from utils.pipeline_template import create_standardized_pipeline_script
run_script = create_standardized_pipeline_script(
"N_module.py", process_func, "Description"
)
src/module/processor.pyThis module registers tools with the GNN MCP server (see mcp.py):
template.get_infotemplate.process_directorytemplate.process_file