What tools does this skill require?

This skill utilizes Read, Grep, kubectl for logs, curl for metrics, and tcpdump for network captures to build a full diagnostic picture.

When should I use this Perplexity troubleshooting skill?

Use this skill when standard debugging fails, or when investigating complex issues like race conditions, intermittent failures, or preparing evidence for support escalation.

Can it detect memory leaks?

Yes, it includes specialized logic to monitor heap usage over time specifically for Perplexity client integration to alert on sustained growth patterns.

How does it help with Perplexity support tickets?

It generates a standardized escalation template and automates the creation of a .tar.gz debug bundle containing all logs, traces, and metrics required by support teams.

What layers of connectivity are tested?

The skill performs systematic testing across network connectivity, DNS resolution, TLS handshake, authentication, API response, and response parsing.

Perplexity Advanced Troubleshooting

Name: Perplexity Advanced Troubleshooting
Author: jeremylongshore

byjeremylongshore

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1,063

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Analytics & Monitoring

Implements advanced debugging and systematic isolation techniques for complex Perplexity API integrations and service issues.

This skill provides a professional-grade framework for diagnosing the most difficult Perplexity-related technical challenges. It automates the collection of comprehensive evidence bundles including Kubernetes logs, network captures, and distributed traces. By guiding Claude through layer-by-layer testing—from DNS resolution to TLS handshakes and response parsing—this skill helps developers identify race conditions, memory leaks, and intermittent failures that standard troubleshooting misses. It also includes standardized templates for escalating issues to Perplexity support with high-quality technical evidence.

Key Features

01High-precision timing analysis for latency bottleneck detection

02Automated evidence bundle generation (logs, metrics, pcap)

03Systematic layer-by-layer network and API diagnostic testing

04Standardized Perplexity support escalation template generation

05Heuristics for identifying memory leaks and race conditions

061,063 GitHub stars

Use Cases

01Preparing comprehensive technical evidence for Perplexity support escalation

02Detecting subtle race conditions or memory leaks in API client implementations

03Diagnosing intermittent 'mystery errors' in high-traffic production environments

What are Skills?·How to Install

Install with 🐟 Skill.Fish

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

For use in Claude.ai and ChatGPT

Download Skill

Key Features

01High-precision timing analysis for latency bottleneck detection

02Automated evidence bundle generation (logs, metrics, pcap)

03Systematic layer-by-layer network and API diagnostic testing

04Standardized Perplexity support escalation template generation

05Heuristics for identifying memory leaks and race conditions

061,063 GitHub stars

Use Cases

01Preparing comprehensive technical evidence for Perplexity support escalation

02Detecting subtle race conditions or memory leaks in API client implementations

03Diagnosing intermittent 'mystery errors' in high-traffic production environments

What are Skills?·How to Install

Install with 🐟 Skill.Fish

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

For use in Claude.ai and ChatGPT

Download Skill