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AndyAnh174
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debugging-toolkit-smart-debug

Diagnoses software issues via AI-guided workflows across web services and microservices.

Updated Feb 26, 2026
Search Tags:#automation#debugging#ai#observability#triage#root-cause
One-click install
npx skills add https://github.com/AndyAnh174/wellness --skill debugging-toolkit-smart-debug
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: debugging-toolkit-smart-debug
Source: https://github.com/AndyAnh174/wellness/tree/main/.agent/skills/debugging-toolkit-smart-debug
Command: npx skills add https://github.com/AndyAnh174/wellness --skill debugging-toolkit-smart-debug

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Automates expert-guided debugging workflows to accelerate root-cause analysis, triage, and resolution of software issues.

Core Features & Use Cases

  • AI-powered triage and hypothesis generation to prioritize debugging efforts.
  • Structured observability data collection across logs, traces, metrics, and sessions.
  • Guided instrumentation, safe changes, and validated fix verification.

Quick Start

Provide a concise issue description and any relevant logs to trigger the debugging workflow.

Frequently Asked Questions about debugging-toolkit-smart-debug

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

FAQPage Schema
How do I use AI to find the root cause of software issues in production?▼

AI-guided debugging automates root-cause analysis by applying structured workflows to triage issues, collect observability data, and generate ranked hypotheses for production environments. It guides data collection across logs, traces, and metrics to accelerate resolution.

What is the process for AI-guided debugging across microservices?▼

AI-guided debugging for microservices involves structured issue analysis, evidence gathering from observability data, hypothesis ranking, instrumentation recommendations, and reproducible validation plans. This systematic approach ensures thorough triage across distributed web services.

Can I apply automated triage and debugging to staging and development environments?▼

Yes, automated triage and debugging workflows apply to production, staging, and development environments. The AI-guided process adapts to different environments to guide hypothesis generation, data collection, and fix validation across web services.

How do I start an AI-guided debugging workflow when an issue occurs?▼

To start AI-guided debugging, provide a concise issue description and any relevant logs. This triggers the debugging workflow, which then guides you through structured observability data collection, hypothesis generation, and instrumentation recommendations.

What is the best way to verify a software fix after root-cause analysis?▼

The best way to verify a software fix is through a reproducible validation plan generated during the AI-guided debugging workflow. This ensures that recommended safe changes and instrumentations are validated against the original issue evidence.

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