activeinferenceinstitute
29 verified skills667 total stars
gnn-code-generation
GNN code generation for simulation frameworks. Use when generating PyMDP, RxInfer.jl, ActiveInference.jl, JAX, or DisCoPy simulation code from GNN model specifications.
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gnn-website-generation
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.
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gnn-audio-generation
GNN audio generation and sonification. Use when creating audio representations of GNN models, generating sonification of state spaces, or working with SAPF and Pedalboard audio backends.
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API
Capabilities for API
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gnn-simulation-execution
GNN simulation script execution with result capture. Use when running generated simulation scripts, managing execution environments, handling framework dependencies, or capturing simulation outputs and metrics.
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gnn-parsing
GNN file discovery, parsing, and multi-format serialization. Use when reading GNN model files, parsing StateSpaceBlock definitions, extracting connections, validating GNN syntax, or converting between GNN formats.
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gnn-gui-builder
GNN interactive GUI for constructing and editing GNN models. Use when building visual model editors, launching the GNN GUI application, or working with the multi-panel GUI system (gui_1, gui_2, gui_3, oxdraw).
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gnn-test-suite
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.
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gnn-llm-analysis
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.
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gnn-mcp-protocol
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.
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gnn-pipeline-orchestration
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.
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gnn-security-validation
GNN security validation and access control. Use when auditing security of generated code, validating input sanitization, checking dependency vulnerabilities, or enforcing security policies on pipeline outputs.
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gnn-shared-utilities
GNN shared utility functions and helper modules. Use when working with common pipeline utilities, logging helpers, file I/O wrappers, path management, or pipeline template infrastructure.
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gnn-visualization
GNN graph and matrix visualization generation. Use when creating network graph plots, matrix heatmaps, state space diagrams, or other visual representations of GNN models.
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gnn-advanced-viz
GNN advanced visualization and interactive plots. Use when creating D2 diagrams, dashboards, interactive network visualizations, timeline charts, heatmaps, or data extraction for custom visualizations.
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gnn-export
GNN multi-format export generation. Use when exporting GNN models to JSON, XML, GraphML, GEXF, Pickle, or other interchange formats for use in external tools and frameworks.
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gnn-ml-integration
GNN machine learning integration and model training. Use when training ML models on GNN data, checking ML framework availability, or integrating GNN pipeline outputs with machine learning workflows.
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gnn-model-registry
GNN model versioning and registry management. Use when registering parsed models, tracking model versions, querying model metadata (author, license, version), or managing the model catalog.
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gnn-research-tools
GNN research tools and experimental features. Use when running experimental analyses, prototyping new pipeline features, conducting research experiments on GNN models, or exploring novel Active Inference patterns.
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gnn-type-checking
GNN syntax validation and resource estimation. Use when checking GNN model types, validating matrix dimensions, verifying state space consistency, or estimating computational resources for model execution.
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gnn-validation
GNN advanced validation and consistency checking. Use when performing deep validation of GNN models, checking cross-model consistency, verifying structural integrity, or running validation reports.
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gnn-template-init
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.
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gnn-environment-setup
GNN environment setup and dependency management. Use when configuring the development environment, installing dependencies, managing virtual environments, or troubleshooting dependency issues for the GNN pipeline.
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gnn-system-integration
GNN system integration and cross-module coordination. Use when coordinating data flow between pipeline steps, resolving cross-module dependencies, or configuring inter-step communication.
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gnn-statistical-analysis
GNN advanced statistical analysis and result aggregation. Use when performing statistical analysis on simulation results, cross-simulation aggregation, computing information-theoretic metrics, or creating analytical visualizations of pipeline outputs.
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gnn-ontology
GNN Active Inference ontology processing and validation. Use when working with ActInfOntologyAnnotation sections, mapping GNN variables to ontology terms, validating semantic annotations, or exploring Active Inference concept hierarchies.
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SAPF
Capabilities for SAPF
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gnn-intelligent-analysis
GNN AI-powered pipeline analysis and executive reports. Use when generating AI-driven executive summaries, performing intelligent pipeline health assessments, or creating comprehensive AI-enhanced analysis of GNN processing results.
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gnn-report-generation
GNN comprehensive analysis report generation. Use when creating summary reports from pipeline outputs, generating markdown or HTML reports, or producing executive summaries of model processing results.
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