메뉴
GNN static HTML website generation from pipeline artifacts. Use when generating browsable documentation websites, creating HTML galleries of model visualizations, or publishing pipeline results as a static site.
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-website-generation |
| description | GNN static HTML website generation from pipeline artifacts. Use when generating browsable documentation websites, creating HTML galleries of model visualizations, or publishing pipeline results as a static site. |
Generates a static HTML website from pipeline artifacts including model visualizations, export data, analysis reports, and documentation. Creates a browsable, self-contained web experience.
# Generate website
python src/20_website.py --target-dir input/gnn_files --output-dir output --verbose
# As part of pipeline
python src/main.py --only-steps 20 --verbose
from website import (
WebsiteGenerator, WebsiteRenderer,
generate_website, process_website,
generate_html_report, get_module_info,
embed_image, embed_markdown_file, embed_text_file,
get_supported_file_types, validate_website_config
)
# Process website step (used by pipeline)
process_website(target_dir, output_dir, verbose=True)
# Use the WebsiteGenerator class
gen = WebsiteGenerator()
generate_website(artifacts_dir, output_dir)
# Generate individual HTML report
generate_html_report(data, output_path)
# Embed content
embed_image(image_path, html_output)
embed_markdown_file(md_path, html_output)
# Query supported file types
types = get_supported_file_types()
WebsiteGenerator / WebsiteRenderer — website generation classesgenerate_website / process_website — main generation functionsgenerate_html_report — HTML report generationembed_image, embed_markdown_file, embed_text_file, embed_json_file, embed_html_filevalidate_website_config — configuration validationoutput/20_website_output/This module registers tools with the GNN MCP server (see mcp.py):
build_website_from_pipeline_outputget_website_module_infoget_website_statuslist_generated_website_pagesprocess_website