Agent skill · Frontend

anima-rate-limits

Implement rate limiting for Anima API code generation requests. Use when batching component generation, handling rate limit errors, or optimizing API throughput for large design systems. '

jeremylongshoregithub.com/jeremylongshoreGitHub ↗
claude-codecan modify filesMIT
Install
npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill anima-rate-limits --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 3 KB
Bundled scripts: none
Version: 1.4.0
Declared author: Jeremy Longshore <jeremy@intentsolutions.io>
Allowed tools: ReadWriteEditBash(npm:*)
Requires: Designed for Claude Code
Path: skills/.curated/anima-rate-limits/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 2,596
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Anima Rate Limits ## Overview Anima API has per-minute rate limits on code generation. Each `generateCode` call processes one Figma node through AI — it's compute-intensive and rate-limited accordingly. ## Rate Limit Tiers | Tier | Generations/min | Concurrent | Notes | |------|----------------|------------|-------| | Partner (standard) | 10 | 2 | Most common | | Enterprise | 30 | 5 | Custom agr

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About this skill
What does the anima-rate-limits skill do?

Implement rate limiting for Anima API code generation requests. Use when batching component generation, handling rate limit errors, or optimizing API throughput for large design systems. '

How do I install it?

Run `npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill anima-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.

Keep going