documenso-performance-tuning
Optimize Documenso integration performance with caching, batching, and efficient patterns. Use when improving response times, reducing API calls, or optimizing bulk document operations. Trigger with phrases like "documenso performance", "optimize documenso", "documenso caching", "documenso batch operations". '
npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill documenso-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.
# Documenso Performance Tuning ## Overview Optimize Documenso integrations for speed and efficiency. Key strategies: reduce API round-trips with templates, cache document metadata, batch operations with concurrency control, and use async processing for bulk signing workflows. ## Prerequisites - Working Documenso integration - Redis or in-memory cache (recommended) - Completed `documenso-sdk-patter
What does the documenso-performance-tuning skill do?
Optimize Documenso integration performance with caching, batching, and efficient patterns. Use when improving response times, reducing API calls, or optimizing bulk document operations. Trigger with phrases like "documenso performance", "optimize documenso", "documenso caching", "documenso batch operations". '
How do I install it?
Run `npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill documenso-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.
