documenso-rate-limits
Implement Documenso rate limiting, backoff, and request throttling patterns. Use when handling rate limit errors, implementing retry logic, or optimizing API request throughput for Documenso. Trigger with phrases like "documenso rate limit", "documenso throttling", "documenso 429", "documenso retry", "documenso backoff". '
npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill documenso-rate-limits --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 Rate Limits ## Overview Documenso uses a fair-use rate limiting model. There are no published per-minute request quotas -- instead, limits are based on your plan's document allowance and general API fair use. The paid plans (Individual and Team) include unlimited signing and API volume. The free plan has a document limit. If you hit a 429, implement exponential backoff and request queu
What does the documenso-rate-limits skill do?
Implement Documenso rate limiting, backoff, and request throttling patterns. Use when handling rate limit errors, implementing retry logic, or optimizing API request throughput for Documenso. Trigger with phrases like "documenso rate limit", "documenso throttling", "documenso 429", "documenso retry", "documenso backoff". '
How do I install it?
Run `npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill documenso-rate-limits --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.