What kind of Exa issues does this skill help solve?

It targets hard-to-diagnose issues like intermittent 5xx errors, latency spikes, empty content retrieval, and search quality degradation that standard logs might miss.

Can it test different Exa search modes?

Yes, it includes a latency profiling tool that compares 'instant', 'fast', 'auto', and 'neural' search types across multiple iterations to identify performance bottlenecks.

How does it help with Exa support escalation?

It generates a standardized markdown escalation template containing diagnostic results, latency profiles, and the specific RequestIDs needed for the Exa team to investigate.

Does it handle crawling and content retrieval issues?

Yes, it includes specialized debugging functions to test different Livecrawl configurations (preferred vs always) for URLs that may be blocking standard search crawlers.

Exa Advanced Troubleshooting

Name: Exa Advanced Troubleshooting
Author: jeremylongshore

byjeremylongshore

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2,028

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분석 및 모니터링

Diagnose and resolve complex Exa API issues including latency spikes, content retrieval failures, and authentication errors.

This skill provides a specialized suite of diagnostic tools for developers working with the Exa AI search engine. It moves beyond basic error handling by performing layer-by-layer network and authentication checks, profiling search latency across different search types, and debugging content retrieval failures using various Livecrawl configurations. It streamlines the troubleshooting process for hard-to-diagnose bugs and automates the creation of detailed evidence bundles for Exa support escalations, ensuring that developers can quickly identify if an issue is network-related, auth-driven, or an edge case in the neural search engine.

주요 기능

01RequestID tracking and deep error response analysis

02Automated search latency profiling (p50/p95) for all Exa search modes

032,028 GitHub stars

04Support escalation template generator with diagnostic evidence

05Livecrawl configuration testing for problematic content retrieval

06Layer-by-layer diagnostic suite covering DNS, network, and auth

사용 사례

01Preparing comprehensive technical evidence bundles for official Exa support tickets

02Investigating sudden latency spikes or performance drops in production search implementations

03Debugging why specific URLs return empty text or incomplete highlights during retrieval

주요 기능

01RequestID tracking and deep error response analysis

02Automated search latency profiling (p50/p95) for all Exa search modes

032,028 GitHub stars

04Support escalation template generator with diagnostic evidence

05Livecrawl configuration testing for problematic content retrieval

06Layer-by-layer diagnostic suite covering DNS, network, and auth

사용 사례

01Preparing comprehensive technical evidence bundles for official Exa support tickets

02Investigating sudden latency spikes or performance drops in production search implementations

03Debugging why specific URLs return empty text or incomplete highlights during retrieval