exa-load-scale
Implement Exa load testing, capacity planning, and scaling strategies. Use when running performance tests, planning capacity for Exa integrations, or designing high-throughput search architectures. Trigger with phrases like "exa load test", "exa scale", "exa capacity", "exa k6", "exa benchmark", "exa throughput". '
npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill exa-load-scale --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Exa Load & Scale ## Overview Load testing and capacity planning for Exa integrations. Key constraint: Exa's default rate limit is 10 QPS. Scaling strategies focus on caching, request queuing, parallel processing within rate limits, and search type selection for latency budgets. ## Prerequisites - k6 load testing tool installed - Test environment Exa API key (separate from production) - Redis for
What does the exa-load-scale skill do?
Implement Exa load testing, capacity planning, and scaling strategies. Use when running performance tests, planning capacity for Exa integrations, or designing high-throughput search architectures. Trigger with phrases like "exa load test", "exa scale", "exa capacity", "exa k6", "exa benchmark", "exa throughput". '
How do I install it?
Run `npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill exa-load-scale --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From jeremylongshore/claude-code-plugins-plus-skills, a repository with 2,596 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.