clari-performance-tuning
Optimize Clari API performance with caching, batch exports, and data pipeline efficiency. Use when exports take too long, optimizing data warehouse load times, or reducing API calls in multi-forecast environments. Trigger with phrases like "clari performance", "clari slow export", "optimize clari pipeline", "clari caching". '
npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill clari-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.
# Clari Performance Tuning ## Overview Optimize Clari export pipelines: reduce export times, cache forecast data, and parallelize multi-period exports. ## Instructions ### Parallel Multi-Period Export ```python from concurrent.futures import ThreadPoolExecutor, as_completed def parallel_export( client, forecast_name: str, periods: list[str], max_workers: int = 3, ) -> dict[str, list[dict]]: result
What does the clari-performance-tuning skill do?
Optimize Clari API performance with caching, batch exports, and data pipeline efficiency. Use when exports take too long, optimizing data warehouse load times, or reducing API calls in multi-forecast environments. Trigger with phrases like "clari performance", "clari slow export", "optimize clari pipeline", "clari caching". '
How do I install it?
Run `npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill clari-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.