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troubleshooting

Diagnose and resolve AI/ML workload issues like test failures and build errors.

33|9|Updated Mar 2, 2026
Search Tags:#troubleshooting#test failures#AI/ML#build errors#performance issues
One-click install
npx skills add https://github.com/NVIDIA/elements --skill troubleshooting-nvidia
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: troubleshooting
Source: https://github.com/NVIDIA/elements/tree/main/.agents/skills/troubleshooting
Command: npx skills add https://github.com/NVIDIA/elements --skill troubleshooting-nvidia

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill streamlines the process of diagnosing and resolving common issues in AI/ML workloads, such as test failures, build errors, performance regressions, and development environment problems.

Core Features & Use Cases

  • Problem Diagnosis: Identifies the root cause of issues like test failures, build errors, and performance regressions.
  • Environment Troubleshooting: Helps resolve problems with the development environment, including Node.js, pnpm, Git LFS, and port conflicts.
  • CI/CD Pipeline Support: Diagnoses and resolves issues in the CI/CD pipeline, including build failures and Lighthouse performance scores.
  • Use Case: When you encounter a build error that prevents your AI/ML project from compiling, this Skill can help you identify the issue and provide a solution.

Quick Start

Use the troubleshooting skill to diagnose and resolve the build error you're experiencing with your AI/ML project.

Frequently Asked Questions about troubleshooting

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

FAQPage Schema
How do I diagnose and resolve build errors in AI/ML workloads?▼

To diagnose build errors in AI/ML workloads, this Skill analyzes error messages and symptoms to identify the root cause of compilation failures, providing targeted solutions to unblock your development environment.

Why are my test failures and flaky tests happening in my AI/ML project?▼

Test failures and flaky tests in AI/ML projects happen due to various root causes that this Skill diagnoses by analyzing symptoms like timeouts, identifying the underlying issue, and offering steps to resolve the test regressions.

Does this troubleshooting process work with pnpm and Git LFS environment issues?▼

Yes, the troubleshooting process works with pnpm and Git LFS environment issues, requiring these specific tools alongside Lighthouse to accurately diagnose and resolve Node.js development environment conflicts and failures.

How do I fix CI/CD pipeline build failures and low Lighthouse performance scores?▼

To fix CI/CD pipeline build failures and low Lighthouse performance scores, this Skill diagnoses the pipeline issues by analyzing the build regressions and performance metrics to identify and resolve the underlying bottlenecks.

What is the best way to troubleshoot performance regressions in AI/ML development?▼

The best way to troubleshoot performance regressions in AI/ML development is to use this Skill to analyze symptoms like slow builds and timeouts, accurately diagnosing the root cause of the regression to implement an effective resolution.

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