clade-performance-tuning
Optimize Anthropic API latency \u2014 streaming, prompt caching, model\ \ selection,\nUse when working with performance-tuning patterns.\nconnection reuse,\ \ and parallel requests.\nTrigger with \"anthropic slow\", \"claude latency\", \"\ speed up anthropic\",\n\"anthropic performance\", \"claude response time\".\n"
npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill clade-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.
# Anthropic Performance Tuning ## Overview Claude latency has two components: **time to first token (TTFT)** and **tokens per second (TPS)**. Different strategies target each. ## Latency Benchmarks (approximate) | Model | TTFT (p50) | TTFT (p95) | Output TPS | |-------|-----------|-----------|------------| | Claude Haiku 4.5 | 200ms | 600ms | ~150 | | Claude Sonnet 4 | 400ms | 1.2s | ~90 | | Claud
What does the clade-performance-tuning skill do?
Optimize Anthropic API latency \u2014 streaming, prompt caching, model\ \ selection,\nUse when working with performance-tuning patterns.\nconnection reuse,\ \ and parallel requests.\nTrigger with \"anthropic slow\", \"claude latency\", \"\ speed up anthropic\",\n\"anthropic performance\", \"claude response time\".\n"
How do I install it?
Run `npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill clade-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.
