analyze-prod

Collect read-only evidence from Kubernetes clusters, databases, logs, and networking to diagnose root causes.

2|Updated Mar 19, 2026
One-click install
npx skills add https://github.com/avav25/ai-assets --skill analyze-prod
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: analyze-prod
Source: https://github.com/avav25/ai-assets/tree/main/.windsurf/skills/analyze-prod
Command: npx skills add https://github.com/avav25/ai-assets --skill analyze-prod

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Analyzes production environments by collecting evidence across clusters, databases, logs, and networking, then returns a root-cause oriented diagnosis with recommended next actions.

Core Features & Use Cases

  • Read-only diagnostic workflow across cloud platforms and on-prem environments
  • Collects cluster context, pod/deployment status, logs, resource pressure signals, and network/endpoints health
  • Use cases include post-incident reviews and ongoing health monitoring to identify root causes and mitigations

Quick Start

Initiate a read-only diagnostic sweep of the target environment to collect evidence and generate a root-cause oriented report.

Frequently Asked Questions about analyze-prod

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

FAQPage Schema
How do I diagnose root causes of production incidents in Kubernetes safely?

To diagnose production incidents safely, perform a read-only diagnostic sweep across your Kubernetes clusters, databases, and logs to collect evidence and generate a root-cause oriented report with recommended mitigations.

What is read-only production diagnostics and when is it needed?

Read-only production diagnostics is the process of collecting cluster context, pod status, logs, and network health without mutating the environment. It is needed during active incident investigations and post-incident reviews to safely identify root causes.

Can I use this approach for on-prem deployments or is it limited to cloud platforms?

You can use this diagnostic approach for both on-prem and cloud deployments. It safely collects telemetry and resource pressure signals across diverse environments to deliver environment-scoped analysis and mitigation guidance.

How do I conduct a post-incident review without risking my production environment?

Conduct a post-incident review safely by running a read-only data collection workflow that gathers evidence across your clusters and networking components, framing the root cause and recommending actions without applying unapproved mutations.

What's the best way to identify mitigations for ongoing production issues?

The best way to identify mitigations is to collect evidence on pod deployments, resource pressure, and endpoint health, then use that telemetry to frame a root-cause diagnosis that explicitly outlines recommended next actions.

Does this diagnostic method collect network and endpoint health signals?

Yes, this diagnostic method collects network and endpoint health signals alongside cluster context, pod status, and logs to ensure comprehensive environment-scoped analysis during your incident investigation.