perplexity-load-scale
Load test Perplexity Sonar API integrations and plan capacity. Use when running performance tests, planning for traffic growth, or benchmarking Perplexity latency under load. Trigger with phrases like "perplexity load test", "perplexity scale", "perplexity performance test", "perplexity capacity", "perplexity benchmark". '
npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill perplexity-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.
# Perplexity Load & Scale ## Overview Load testing and capacity planning for Perplexity Sonar API. Key constraint: Perplexity rate limits at 50 RPM (default tier), and every request performs a live web search with variable latency. Load testing must respect these limits to avoid burning through credits. ## Capacity Constraints | Constraint | Default Limit | Impact | |-----------|--------------|---
What does the perplexity-load-scale skill do?
Load test Perplexity Sonar API integrations and plan capacity. Use when running performance tests, planning for traffic growth, or benchmarking Perplexity latency under load. Trigger with phrases like "perplexity load test", "perplexity scale", "perplexity performance test", "perplexity capacity", "perplexity benchmark". '
How do I install it?
Run `npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill perplexity-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.