assemblyai-performance-tuning
Optimize AssemblyAI API performance with caching, parallel processing, and model selection. Use when experiencing slow transcriptions, implementing caching strategies, or optimizing throughput for batch transcription workloads. Trigger with phrases like "assemblyai performance", "optimize assemblyai", "assemblyai latency", "assemblyai caching", "assemblyai slow", "assemblyai batch". '
npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill assemblyai-performance-tuning --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.
# AssemblyAI Performance Tuning ## Overview Optimize AssemblyAI transcription performance through model selection, parallel processing, caching, and webhook-based architectures. ## Prerequisites - `assemblyai` package installed - Understanding of async patterns - Redis or in-memory cache available (optional) ## Latency Benchmarks (Actual) ### Async Transcription | Audio Duration | Approx. Processi
What does the assemblyai-performance-tuning skill do?
Optimize AssemblyAI API performance with caching, parallel processing, and model selection. Use when experiencing slow transcriptions, implementing caching strategies, or optimizing throughput for batch transcription workloads. Trigger with phrases like "assemblyai performance", "optimize assemblyai", "assemblyai latency", "assemblyai caching", "assemblyai slow", "assemblyai batch". '
How do I install it?
Run `npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill assemblyai-performance-tuning --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.