diagnose

Diagnose AI workflows across prompt quality, context efficiency, tool health, architecture fitness, and safety.

Updated Jul 7, 2026
One-click install
npx skills add https://github.com/voidrot/agents --skill diagnose-voidrot
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: diagnose
Source: https://github.com/voidrot/agents/tree/main/skills/meta/diagnose
Command: npx skills add https://github.com/voidrot/agents --skill diagnose-voidrot

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps identify and diagnose potential issues in AI workflows, focusing on quality, efficiency, and safety, enabling users to proactively improve their workflows.

Core Features & Use Cases

  • Comprehensive Diagnostics: Evaluates AI workflows across 5 key dimensions: prompt quality, context efficiency, tool health, architecture fitness, and safety.
  • Scalable Reports: Generates scored reports with prioritized remediation actions, suitable for different workflow sizes and complexities.
  • In-Depth Guidance: Provides detailed checklists, examples, and templates to aid in identifying and addressing specific issues.
  • Use Case: When you're preparing a new AI workflow for production, or conducting an audit of an existing workflow to ensure its reliability and efficiency.

Quick Start

Use the diagnose skill to evaluate the prompt quality of your current AI workflow.

Frequently Asked Questions about diagnose

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

FAQPage Schema
How do I run a comprehensive diagnostic scan on my AI workflow?

To run an AI workflow diagnostic scan, evaluate prompt quality, context efficiency, tool health, architecture fitness, and safety to generate a detailed report with prioritized remediation suggestions for your production workflows.

What does an AI workflow safety audit check for?

An AI workflow safety audit checks for potential safety risks and architecture fitness issues across your workflows, providing scored reports and detailed checklists to help you proactively identify and address reliability vulnerabilities.

How do I evaluate prompt quality and context efficiency in my AI workflows?

You evaluate prompt quality and context efficiency by performing a diagnostic scan that analyzes these specific dimensions, providing actionable examples and templates to identify inefficiencies and improve your overall AI workflow performance.

When should I conduct an AI workflow audit?

You should conduct an AI workflow audit when preparing a new workflow for production or when conducting ongoing audits of existing workflows to ensure their continued reliability, efficiency, and safety across different scales and complexities.

Can I use this diagnostic process for ongoing production workflow audits?

Yes, this diagnostic process is suitable for both production-ready workflows and ongoing audit processes, generating scalable scored reports with prioritized remediation actions that adapt to different workflow sizes and complexities.

What is the best way to identify context efficiency issues in AI workflows?

The best way to identify context efficiency issues is to perform a comprehensive diagnostic scan that specifically evaluates this dimension, generating a scored report with in-depth guidance and prioritized remediation actions to resolve inefficiencies.