diagnose

Diagnose production issues from Sentry URLs, Slack messages, or descriptions.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/cuemath/dotclaude --skill diagnose-cuemath
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: diagnose
Source: https://github.com/cuemath/dotclaude/tree/main/skills/diagnose
Command: npx skills add https://github.com/cuemath/dotclaude --skill diagnose-cuemath

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill rapidly diagnoses production issues by analyzing Sentry errors, Slack messages, or direct problem descriptions, pinpointing the root cause of infrastructure or application failures.

Core Features & Use Cases

  • Multi-Input Analysis: Accepts Sentry URLs, Slack message links, text descriptions, or screenshots to initiate diagnosis.
  • Root Cause Identification: Leverages a structured debugging framework (Plan, Preflight, Triage, Hypothesize, Verify) to systematically investigate issues.
  • Production Data Verification: Emphasizes using real-time production data (logs, metrics, DB queries) over code analysis alone.
  • Use Case: When users report a critical bug, provide the Sentry issue URL to get an immediate, data-backed diagnosis and actionable remediation steps.

Quick Start

Diagnose the production issue described in the Sentry URL https://sentry.io/organizations/cuemathcom/issues/1234567890/.

Frequently Asked Questions about diagnose

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

FAQPage Schema
How do I diagnose production issues from a Sentry URL?

To diagnose production issues from a Sentry URL, the system analyzes the link to systematically gather CloudWatch logs, Kubernetes metrics, and database records. It verifies the error claims with real-time production data before presenting a confidence-scored root cause diagnosis.

Can I find a root cause from a Slack message or text description?

You can find a root cause by providing a Slack message link or a direct text description of the failure. The tool applies a structured debugging framework to triage the report and verify hypotheses against live infrastructure data.

What is the best way to debug Kubernetes application failures using production data?

The best way to debug Kubernetes application failures is verifying claims with real-time production data rather than code analysis alone. This approach gathers metrics from Kubernetes and CloudWatch to formulate and test hypotheses, yielding a data-backed diagnosis.

Does root cause analysis work with CloudWatch logs and Sentry errors?

Root cause analysis works directly with CloudWatch logs and Sentry errors by systematically correlating them during the verification phase. It cross-references these production data sources to confirm the true infrastructure or application failure point.

How do I troubleshoot production issues when users report a critical bug?

To troubleshoot production issues from a critical bug report, input the Sentry issue URL or problem description to initiate diagnosis. The system systematically plans, triages, and verifies the issue against live database and log data to provide actionable remediation steps.