gnn-intelligent-analysis

Analyze GNN pipeline executions to surface failures, bottlenecks, and insights.

30|3|Updated Apr 2, 2023

Search Tags:#llm #flag-detection #health-score #gnn #pipeline-analysis #ai-insights

Ready to run

npx skills add https://github.com/ActiveInferenceInstitute/GeneralizedNotationNotation --skill gnn-intelligent-analysis

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: gnn-intelligent-analysis
Source: https://github.com/ActiveInferenceInstitute/GeneralizedNotationNotation/tree/main/src/intelligent_analysis
Command: npx skills add https://github.com/ActiveInferenceInstitute/GeneralizedNotationNotation --skill gnn-intelligent-analysis

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Analyze GNN pipeline executions to surface failures, performance bottlenecks, and AI-generated insights.

Core Features & Use Cases

AI-powered health scoring and failure analysis for end-to-end GNN pipelines.
Per-step yellow/red flag detection with actionable insights and recovery guidance.
Generative executive reports (markdown/json/html) with optimization recommendations.
Rule-based fallback when LLMs are unavailable, ensuring robust operation in isolation.

Quick Start

Run a complete GNN pipeline analysis to generate an executive report.

Frequently Asked Questions about gnn-intelligent-analysis

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I analyze GNN pipeline executions to surface failures and bottlenecks?▼

To analyze GNN pipeline executions, you can run an end-to-end analysis that processes multiple steps to surface failures, performance bottlenecks, and AI-generated insights. The analysis produces per-step flags, health scores, and comprehensive executive reports.

How does AI-powered health scoring work for pipeline analysis?▼

AI-powered health scoring evaluates end-to-end GNN pipeline executions to generate per-step yellow and red flags. It provides actionable insights and recovery guidance, culminating in generative executive reports with optimization recommendations.

Can I generate pipeline health reports in markdown, json, and html formats?▼

Yes, you can generate executive reports in markdown, json, and html formats. These reports contain AI-generated insights, health scores, and optimization recommendations derived from your GNN pipeline execution analysis.

What happens to pipeline flag detection when LLMs are unavailable?▼

When LLMs are unavailable, pipeline flag detection and health analysis operate using a safe rule-based fallback. This ensures robust operation in isolation, allowing the system to continue surfacing failures and performance bottlenecks without interruption.

Does GNN pipeline analysis provide actionable recovery guidance for failed steps?▼

Yes, GNN pipeline analysis provides per-step yellow and red flag detection paired with actionable insights and recovery guidance. It evaluates end-to-end runs to help you address performance bottlenecks and optimize subsequent executions.