linear-performance-tuning
Optimize Linear API queries, caching, and batching for performance. Use when improving response times, reducing API calls, or implementing caching strategies for Linear data. "linear slow queries", "speed up linear", "linear N+1". '
npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill linear-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.
# Linear Performance Tuning ## Overview Optimize Linear API usage for minimal latency and efficient resource consumption. The three main levers are: (1) query flattening to avoid N+1 and reduce complexity, (2) caching static data with webhook-driven invalidation, and (3) batching mutations into single GraphQL requests. **Key numbers:** - Query complexity budget: 250,000 pts/hour, max 10,000 per qu
What does the linear-performance-tuning skill do?
Optimize Linear API queries, caching, and batching for performance. Use when improving response times, reducing API calls, or implementing caching strategies for Linear data. "linear slow queries", "speed up linear", "linear N+1". '
How do I install it?
Run `npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill linear-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.