菜单
Source-adjacent GNN implementation documentation. Use when working with static reference notes under `src/doc/` or checking that implementation-near documentation is intentionally non-runtime.
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。
基于 SOC 职业分类
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-src-doc-reference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。
正在显示 SKILL.md
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.
| name | gnn-src-doc-reference |
| description | Source-adjacent GNN implementation documentation. Use when working with static reference notes under `src/doc/` or checking that implementation-near documentation is intentionally non-runtime. |
doc_referenceFunction: Internal source-adjacent documentation and reference notes supporting src/ implementation and maintenance.
This module is a static documentation directory — it does not export runtime functionality. It holds hand-maintained markdown content that supports development, including:
| File | Purpose |
|---|---|
CHANGELOG.md | Documentation subtree change history |
QUICK_REFERENCE.md | Developer quick-reference for pipeline operations |
cognitive_phenomena/ | Cognitive modeling reference material |
doc/ content for implementation-near materialThis module registers tools with the GNN MCP server (see mcp.py):