When should I use this skill instead of standard debugging?

Use this skill when issues are intermittent, involve complex race conditions, or require deep infrastructure-level analysis like network captures and cluster logs.

How does the Evidence Bundle help with support?

It aggregates logs, metrics, and configurations into a single package, allowing support teams to see the full context of a failure without multiple rounds of manual data gathering.

Can this help identify why my Replit integration is slow?

Yes, it includes a Timing Analyzer that measures latency at every stage of the request, identifying if the bottleneck is in DNS, the TLS handshake, or the API itself.

Does this skill require specific access permissions?

Yes, many of the advanced tools like kubectl, curl, and tcpdump require appropriate cluster access and system-level permissions to collect data.

Replit Advanced Troubleshooting

Name: Replit Advanced Troubleshooting
Author: jeremylongshore

byjeremylongshore

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983

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Analytics & Monitoring

Diagnoses and resolves complex Replit integration issues using deep debugging techniques and automated evidence collection.

This skill provides an exhaustive toolkit for investigating 'impossible to debug' Replit issues that resist standard troubleshooting methods. It guides Claude through systematic layer-by-layer testing—from network connectivity and TLS handshakes to API response parsing—and automates the collection of comprehensive debug bundles including kubectl logs, prometheus metrics, and tcpdumps. Whether you are dealing with subtle race conditions, memory leaks, or preparing a professional escalation package for Replit support, this skill provides the structured methodology and scripts required for high-level technical analysis.

Key Features

01Memory leak and resource growth monitoring

02Automated evidence bundle generation (logs, metrics, and traces)

03Standardized support escalation template generation

04Layer-by-layer isolation testing (DNS, TLS, Auth, API)

05P95 timing analysis for identifying latency bottlenecks

06983 GitHub stars

Use Cases

01Preparing technical evidence for Replit enterprise support escalation

02Diagnosing high-latency or timeout issues in cloud-based Replit environments

03Investigating intermittent race conditions in Replit API calls

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jeremylongshore/claude-code-plugins-plus-skills replit-advanced-troubleshooting

For use in Claude.ai and ChatGPT

Download Skill

Key Features

01Memory leak and resource growth monitoring

02Automated evidence bundle generation (logs, metrics, and traces)

03Standardized support escalation template generation

04Layer-by-layer isolation testing (DNS, TLS, Auth, API)

05P95 timing analysis for identifying latency bottlenecks

06983 GitHub stars

Use Cases

01Preparing technical evidence for Replit enterprise support escalation

02Diagnosing high-latency or timeout issues in cloud-based Replit environments

03Investigating intermittent race conditions in Replit API calls

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jeremylongshore/claude-code-plugins-plus-skills replit-advanced-troubleshooting

For use in Claude.ai and ChatGPT

Download Skill