Anima Rate Limits

What it does

When your agent uses it

• Batching component generation
• Handling rate limit errors
• Optimizing API throughput for large design systems
• With: anima rate limit

Example prompts

• “anima rate limit”
• “anima throttling”
• “anima batch generation”
• “/anima-rate-limits”

Requirements

• Node.js
• A credential in ANIMA_TOKEN
• A credential in FIGMA_TOKEN
• Compatibility (from SKILL.md): Requires Node.js 20+, approved Anima API access, current Anima SDK documentation, and authorized Figma or website source access
• Pre-approved tools (allowed-tools): Read, Write, Edit, Bash(npm:*)

Workflow steps

2 steps, taken from the step headings in SKILL.md.

1. 1Configure Structured Figma Rate Handling
2. 2Bind Each Generation to a Maximum Wait

What it can do on your machine

Read from SKILL.md and the folder at commit cfae287. It shows what the files ask for, not the result of running them.

• Tool permissions

  Pre-approves these tools, so the agent can use them without asking each time:

  • Read
  • Write
  • Edit
  • Bash(npm:*)

  From allowed-tools in the SKILL.md frontmatter.

• Runs code

  No scripts in the folder and no shell commands in SKILL.md (its code samples are typescript).

  From the folder's file list and the shell code blocks in SKILL.md.

• Network

  Links to these hosts (documentation or services it may open):

  • docs.animaapp.com
  • npmjs.com

  From URLs in SKILL.md, links to its own repository left out.

• Credentials

  Names these keys or tokens, usually read from environment variables:

  • ANIMA_TOKEN
  • FIGMA_FILE_KEY
  • FIGMA_TOKEN

  From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

• Compatibility

  Requires Node.js 20+, approved Anima API access, current Anima SDK documentation, and authorized Figma or website source access

  From compatibility in the SKILL.md frontmatter.

Context cost

Anima Rate Limits loads about 1.6k tokens when it runs, and up to ~1.8k if it reads all its reference files. Until then it costs about 71 tokens; SKILL.md has 543 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it

~71

When it runs · the whole SKILL.md, loaded when a task matches

~1.6k

With references · SKILL.md plus every file in references/, read only if the agent opens them

~1.8k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from jeremylongshore/tons-of-skills-marketplace at commit cfae287, republished under its MIT licence (© jeremylongshore). 543 words, ~1,580 tokens.

name

anima-rate-limits

description

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. Trigger with: "anima rate limit", "anima throttling", "anima batch generation".

allowed-tools

Read, Write, Edit, Bash(npm:*)

compatibility

Requires Node.js 20+, approved Anima API access, current Anima SDK documentation, and authorized Figma or website source access

version

2.0.0

argument-hint

[figma-workload]

model

inherit

effort

high

license

MIT

author

Jeremy Longshore <jeremy@intentsolutions.io>

tags

saas, design, figma, anima, rate-limiting

// src/anima/client.ts
import { Anima, FigmaRestApi } from '@animaapp/anima-sdk';

const figmaRestApi = new FigmaRestApi({
  defaultOptions: {
    token: process.env.FIGMA_TOKEN!,
    onRateLimited: async ({ retryAfter, figmaPlanTier, figmaRateLimitType }) => {
      console.warn({ retryAfter, figmaPlanTier, figmaRateLimitType });
      return retryAfter > 0 && retryAfter <= 5; // Repository latency budget.
    },
  },
});

export const anima = new Anima({
  auth: { token: process.env.ANIMA_TOKEN! },
  figmaRestApi,
});

const result = await anima.generateCode({
  fileKey: process.env.FIGMA_FILE_KEY!,
  nodesId: ['1:2'],
  figmaRateLimitMaxWait: 5,
  settings: { framework: 'react', language: 'typescript', styling: 'tailwind' },
});
console.log({ fileCount: Object.keys(result.files).length, sessionId: result.sessionId });

const nodeIds = ['synthetic-card', 'synthetic-button'];
const receipt = {
  batchId: 'sandbox-2026-01-15-a',
  requested: nodeIds.length,
  succeeded: 0,
  failed: 0,
  contactsExported: 0,
};

for (const nodeId of nodeIds) {
  try {
    await anima.generateCode({ fileKey: process.env.FIGMA_FILE_KEY!, nodesId: [nodeId], figmaRateLimitMaxWait: 5, settings });
    receipt.succeeded++;
  } catch (error) {
    receipt.failed++;
    // Store only a redacted status and node fingerprint; never serialize `error` or source.
  }
}
console.log(JSON.stringify({ ...receipt, tokenPresent: Boolean(process.env.ANIMA_TOKEN) }));

© jeremylongshore, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file (references) in skills/.curated/anima-rate-limits of jeremylongshore/tons-of-skills-marketplace.

• SKILL.md
• references/official-docs.md

Open the folder on GitHubat commit cfae287