What tools does this skill require access to?

This skill utilizes standard command-line tools including kubectl for cluster logs, curl for API and metrics interaction, and tcpdump for low-level network captures.

What is included in the evidence bundle?

The bundle aggregates 1 hour of pod/system logs, JSON metrics dumps, 30-second network PCAP files, Jaeger traces, and redacted configuration states.

How does it help with intermittent race conditions?

The skill includes specialized ConcurrencyChecker and TimingAnalyzer modules designed to detect overlapping execution and measure P95 latency across different service layers.

Can I use this for the FireCrawl Cloud API?

Yes, while some features like kubectl require a self-hosted instance, the layer-by-layer isolation and minimal reproduction steps are highly effective for diagnosing Cloud API issues.

FireCrawl Advanced Troubleshooting

Name: FireCrawl Advanced Troubleshooting
Author: jeremylongshore

byjeremylongshore

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983

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Web Scraping & Data Collection

Resolves complex FireCrawl errors using systematic evidence collection and deep-layer diagnostic techniques.

This skill provides a specialized framework for diagnosing elusive FireCrawl issues that resist standard troubleshooting. It automates the collection of comprehensive debug bundles—including Kubernetes logs, Prometheus metrics, network captures, and distributed traces—while offering a systematic layer-by-layer isolation approach. Whether you are dealing with intermittent race conditions, memory leaks, or preparing a detailed evidence package for support escalation, this skill ensures a rigorous, reproducible, and data-driven debugging process for your web scraping infrastructure.

Key Features

01Standardized support escalation templates with minimal reproduction logic

02Real-time memory leak and resource growth monitoring

03Systematic layer-by-layer diagnostic testing for TLS and DNS

04Automated evidence bundle collection (logs, metrics, network captures)

05Concurrency checkers for detecting race conditions

06983 GitHub stars

Use Cases

01Diagnosing network-level latency and TLS handshake failures in scraping clusters

02Investigating intermittent 'impossible' bugs in FireCrawl integrations

03Preparing comprehensive technical reports for FireCrawl support escalation

What are Skills?·How to Install

Install with 🐟 Skill.Fish

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

For use in Claude.ai and ChatGPT

Download Skill

Key Features

01Standardized support escalation templates with minimal reproduction logic

02Real-time memory leak and resource growth monitoring

03Systematic layer-by-layer diagnostic testing for TLS and DNS

04Automated evidence bundle collection (logs, metrics, network captures)

05Concurrency checkers for detecting race conditions

06983 GitHub stars

Use Cases

01Diagnosing network-level latency and TLS handshake failures in scraping clusters

02Investigating intermittent 'impossible' bugs in FireCrawl integrations

03Preparing comprehensive technical reports for FireCrawl support escalation

What are Skills?·How to Install

Install with 🐟 Skill.Fish

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

For use in Claude.ai and ChatGPT

Download Skill