Individual skill
exa-performance-tuning
Tune Exa search type, content mode, freshness, result count, and concurrency against measured latency and retrieval quality. Use when operating or reviewing this Exa boundary. Trigger with "Exa performance tuning", "review Exa performance tuning", or "fix Exa performance tuning".
skills/.curated/exa-performance-tuning/SKILL.md
Source commit 0500b275e963c027f6b410e8c49c0446945c574e
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- Last checked
- Nov 12, 2026
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- 2,917
- Repository last updated
- Nov 12, 2026
- License
- MIT
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- ai Repository topic
- automation Repository topic
- claude-code Repository topic
- devops Repository topic
- mcp Repository topic
- ai-agents Repository topic
- anthropic Repository topic
- claude-code-plugins Repository topic
- developer-tools Repository topic
- llm Repository topic
- saas Declared skill tag
- exa Declared skill tag
- engineering Derived category
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SKILL.mdcore · 4,821 bytesreferences/official-docs.mddoc · 1,835 bytes
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# Exa Latency and Retrieval Performance Tuning
## Overview
Tune Exa search type, content mode, freshness, result count, and concurrency against measured latency and retrieval quality. Treat credentials, queries, retrieved content, generated output, spend, and destructive state as separately governed boundaries.
## Prerequisites
- The target repository, environment, Exa team, product surface, and accountable owner.
- The workload's data classification, latency and freshness promise, cost ceiling, and retention policy.
- Current first-party documentation plus credentials only for a narrowly approved live check.
## Current Contract
Search types trade latency and synthesis depth; content extraction, outputSchema, forced livecrawl, summaries, and subpages add work. Highlights are usually more token-efficient than full text. Published latency values are guidance, not a service-specific SLO.