Run any Skill in Manus with one click

gnn-system-integration

Stars29

Forks3

UpdatedJune 10, 2026 at 17:37

GNN system integration and cross-module coordination. Use when coordinating data flow between pipeline steps, resolving cross-module dependencies, or configuring inter-step communication.

Installation

Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.

Run Skill in Manus

Source

ActiveInferenceInstitute

ActiveInferenceInstitute/GeneralizedNotationNotation

View GitHub Repository View Creator Repositories

Download

Run Skill in Manus

Related occupationsSOC

Based on SOC occupation classification

Computer Systems AnalystsComputer and Mathematical Occupations·SOC 15-1211

File Explorer

16 files

SKILL.md

readonly

name	gnn-system-integration
description	GNN system integration and cross-module coordination. Use when coordinating data flow between pipeline steps, resolving cross-module dependencies, or configuring inter-step communication.

GNN System Integration (Step 17)

Purpose

Coordinates data flow and communication between pipeline modules. Manages cross-module dependencies, resolves data handoffs, and ensures consistent state across the 25-step pipeline.

Key Commands

# Run integration step
python src/17_integration.py --target-dir input/gnn_files --output-dir output --verbose

# As part of pipeline
python src/main.py --only-steps 17 --verbose

API

from integration import process_integration

# Process integration step (used by pipeline)
result = process_integration(target_dir, output_dir, verbose=True)

Key Exports

process_integration — main pipeline processing function

Integration Points

Source Step	Target Step	Data Flow
Step 3 (GNN)	Steps 5–8, 10–11, 13	Parsed models
Step 11 (Render)	Step 12 (Execute)	Generated scripts
Step 12 (Execute)	Step 16 (Analysis)	Execution results
Step 16 (Analysis)	Step 23 (Report)	Analysis summaries

Output

Integration reports in output/17_integration_output/
Cross-module dependency resolution logs

MCP Tools

This module registers tools with the GNN MCP server (see mcp.py):

check_integration_dependencies
get_integration_status
list_supported_integrations
process_integration

References

AGENTS.md — Module documentation
README.md — Usage guide
SPEC.md — Module specification

Documentation

README: Module Overview
AGENTS: Agentic Workflows
SPEC: Architectural Specification
SKILL: Capability API

More from this repository

same repository

gnn-pipeline

ActiveInferenceInstitute/GeneralizedNotationNotation

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.

2026-07-1329

gnn-cli

ActiveInferenceInstitute/GeneralizedNotationNotation

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.

2026-07-0629

gnn-llm-analysis

ActiveInferenceInstitute/GeneralizedNotationNotation

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.

2026-07-0629

gnn-lsp-server

ActiveInferenceInstitute/GeneralizedNotationNotation

GNN Language Server Protocol integration. Use when starting editor diagnostics, checking hover behavior, or validating LSP support for GNN files.

2026-07-0629

gnn-mcp-protocol

ActiveInferenceInstitute/GeneralizedNotationNotation

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.

2026-07-0629

gnn-pipeline-orchestration

ActiveInferenceInstitute/GeneralizedNotationNotation

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.

2026-07-0629

name	gnn-system-integration
description	GNN system integration and cross-module coordination. Use when coordinating data flow between pipeline steps, resolving cross-module dependencies, or configuring inter-step communication.

GNN System Integration (Step 17)

Purpose

Coordinates data flow and communication between pipeline modules. Manages cross-module dependencies, resolves data handoffs, and ensures consistent state across the 25-step pipeline.

Key Commands

# Run integration step
python src/17_integration.py --target-dir input/gnn_files --output-dir output --verbose

# As part of pipeline
python src/main.py --only-steps 17 --verbose

API

from integration import process_integration

# Process integration step (used by pipeline)
result = process_integration(target_dir, output_dir, verbose=True)

Key Exports

process_integration — main pipeline processing function

Integration Points

Source Step	Target Step	Data Flow
Step 3 (GNN)	Steps 5–8, 10–11, 13	Parsed models
Step 11 (Render)	Step 12 (Execute)	Generated scripts
Step 12 (Execute)	Step 16 (Analysis)	Execution results
Step 16 (Analysis)	Step 23 (Report)	Analysis summaries

Output

Integration reports in output/17_integration_output/
Cross-module dependency resolution logs

MCP Tools

This module registers tools with the GNN MCP server (see mcp.py):

check_integration_dependencies
get_integration_status
list_supported_integrations
process_integration

References

AGENTS.md — Module documentation
README.md — Usage guide
SPEC.md — Module specification

Documentation

README: Module Overview
AGENTS: Agentic Workflows
SPEC: Architectural Specification
SKILL: Capability API