gnn-intelligent-analysis

name: gnn-intelligent-analysis description: 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.

GNN Intelligent Analysis (Step 24)

Purpose

Provides AI-powered analysis of the entire pipeline execution, generating executive summaries, health assessments, intelligent recommendations, and comprehensive AI-enhanced reports.

Key Commands

# Run intelligent analysis
python src/24_intelligent_analysis.py --target-dir input/gnn_files --output-dir output --verbose

# As part of pipeline (final step)
python src/main.py --only-steps 24 --verbose

API

from intelligent_analysis import (
    process_intelligent_analysis, IntelligentAnalyzer,
    analyze_pipeline_summary, analyze_individual_steps,
    generate_executive_report, identify_bottlenecks,
    generate_recommendations, calculate_pipeline_health_score,
    classify_failure_severity, detect_performance_patterns,
    generate_optimization_suggestions
)

# Process intelligent analysis step (used by pipeline)
process_intelligent_analysis(target_dir, output_dir, verbose=True)

# Use the IntelligentAnalyzer class
analyzer = IntelligentAnalyzer()

# Analyze pipeline summary
summary = analyze_pipeline_summary(pipeline_data)

# Generate executive report
report = generate_executive_report(analysis_results)

# Health scoring
score = calculate_pipeline_health_score(pipeline_data)

# Identify bottlenecks and generate recommendations
bottlenecks = identify_bottlenecks(step_data)
recs = generate_recommendations(analysis_results)

# Performance pattern detection
patterns = detect_performance_patterns(metrics)
suggestions = generate_optimization_suggestions(patterns)

Key Exports

• process_intelligent_analysis — main pipeline processing function
• IntelligentAnalyzer / AnalysisContext / StepAnalysis — analysis classes
• analyze_pipeline_summary, analyze_individual_steps — analysis functions
• generate_executive_report — executive summary generation
• calculate_pipeline_health_score, classify_failure_severity
• detect_performance_patterns, generate_optimization_suggestions
• identify_bottlenecks, generate_recommendations

Pipeline Position

This is the final step (Step 24). It has access to all outputs from Steps 0–23 and provides the capstone analysis.

Output

• AI analysis reports in output/24_intelligent_analysis_output/
• Executive summary documents
• Pipeline health scorecards

MCP Tools

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

• get_analysis_capabilities
• get_intelligent_analysis_module_info
• process_intelligent_analysis

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