Handle Figma REST API rate limits with exponential backoff and request queuing.

MITAuto-check passedBackend & APIs

Install Figma Rate Limits

skills CLI
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill figma-rate-limits -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install jeremylongshore/tons-of-skills-marketplace figma-rate-limits --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/.curated/figma-rate-limits .claude/skills/figma-rate-limits && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
figma-rate-limits
GitHub stars
2.8k
Token cost
~1.8k tokens
SKILL.md length
271 words
Files
7 (incl. references)
Skills in repo
3,342
Repo updated
First seen
Licence
MIT

At a glance

Handle Figma REST API rate limits with exponential backoff and request queuing.

  • Works in 5 steps: Understand the Rate Limit Model → Implement Exponential Backoff → Request Queue with Concurrency Control → …
  • Encountering 429 errors
  • SKILL.md covers Overview, Prerequisites, Instructions and Output, plus 4 more sections
  • Calls curl and jq; reaches api.figma.com; needs FIGMA_FILE_KEY

What it does

Figma Rate Limits is an agent skill from jeremylongshore/tons-of-skills-marketplace. Handle Figma REST API rate limits with exponential backoff and request queuing. Use when encountering 429 errors, implementing retry logic, or optimizing API request throughput for Figma. Trigger with phrases like "figma rate limit", "figma throttling", "figma 429", "figma retry", "figma backoff".

Its SKILL.md is about 1.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including reference files (for example `references/batch-node-requests.md`, `references/errors.md` and `references/implement-exponential-backoff.md`). Compatibility notes: Designed for Claude Code

It sits in Backend & APIs, covering Rate limiting. It works with Figma. The repository describes itself as: Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com. The licence is MIT.

When your agent uses it

  • Encountering 429 errors
  • Implementing retry logic
  • Optimizing API request throughput for Figma
  • With phrases like figma rate limit

Example prompts

  • “figma rate limit”
  • “figma throttling”
  • “figma 429”
  • “/figma-rate-limits”

Requirements

  • A credential in FIGMA_FILE_KEY
  • Compatibility (from SKILL.md): Designed for Claude Code
  • Pre-approved tools (allowed-tools): Read, Write, Edit

Workflow steps

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

  1. Understand the Rate Limit Model
  2. Implement Exponential Backoff
  3. Request Queue with Concurrency Control
  4. Rate Limit Monitor
  5. Batch Node Requests

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

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • curl
    • jq

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

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • api.figma.com

    Also links to:

    • developers.figma.com
    • help.figma.com
    • github.com

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

  • Credentials

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

    • FIGMA_FILE_KEY

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

  • Compatibility

    Designed for Claude Code

    From compatibility in the SKILL.md frontmatter.

Context cost

Figma Rate Limits loads about 1.8k tokens when it runs, and up to ~3.5k if it reads all its reference files. Until then it costs about 79 tokens; SKILL.md has 271 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~79
When it runs · the whole SKILL.md, loaded when a task matches
~1.8k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~3.5k

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

Auto-check passed

The automated check found no risky patterns in SKILL.md.

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). 271 words, ~1,828 tokens.

Download SKILL.mdSave it as .claude/skills/figma-rate-limits/SKILL.md (or your agent's skills folder). This skill also uses 6 other files; get the full folder from GitHub.
name
figma-rate-limits
description
Handle Figma REST API rate limits with exponential backoff and request queuing. Use when encountering 429 errors, implementing retry logic, or optimizing API request throughput for Figma. Trigger with phrases like "figma rate limit", "figma throttling", "figma 429", "figma retry", "figma backoff".
allowed-tools
Read, Write, Edit
compatibility
Designed for Claude Code
version
1.6.0
license
MIT
author
Jeremy Longshore <jeremy@intentsolutions.io>
tags
saas, figma

Figma Rate Limits

Overview

Figma uses a leaky bucket algorithm for rate limiting. When the bucket is full, the API returns 429 with a Retry-After header. Limits vary by plan tier, seat type, and endpoint tier.

Prerequisites

  • Figma REST API integration working
  • Understanding of async/await patterns

Instructions

Step 1: Understand the Rate Limit Model

Endpoint tiers (limits are per-user, per-minute):

TierEndpointsTypical Limit
Tier 1GET /v1/files, GET /v1/imagesHigher quota
Tier 2GET /v1/files/:key/comments, GET /v1/files/:key/variables/localModerate quota
Tier 3GET /v1/teams/:id/components, GET /v1/teams/:id/stylesLower quota

429 response headers:

HeaderTypeMeaning
Retry-AfterInteger (seconds)Wait this long before retrying
X-Figma-Plan-TierStringYour Figma plan level
X-Figma-Rate-Limit-TypeString"low" or "high" rate limit
X-Figma-Upgrade-LinkStringURL to upgrade for higher limits
Step 2: Implement Exponential Backoff
typescript
async function figmaFetchWithRetry(
  path: string,
  token: string,
  maxRetries = 5
): Promise<any> {
  for (let attempt = 0; attempt <= maxRetries; attempt++) {
    const res = await fetch(`https://api.figma.com${path}`, {
      headers: { 'X-Figma-Token': token },
    });

    if (res.status === 429) {
      const retryAfter = parseInt(res.headers.get('Retry-After') || '60');
      const limitType = res.headers.get('X-Figma-Rate-Limit-Type') || 'unknown';

      if (attempt === maxRetries) {
        throw new Error(`Rate limited after ${maxRetries} retries (${limitType})`);
      }

      // Use the Retry-After header -- Figma tells you exactly how long to wait
      const jitter = Math.random() * 1000;
      const delay = retryAfter * 1000 + jitter;
      console.warn(`429 (${limitType}). Waiting ${(delay/1000).toFixed(1)}s (attempt ${attempt + 1})`);
      await new Promise(r => setTimeout(r, delay));
      continue;
    }

    if (res.status >= 500 && attempt < maxRetries) {
      // Server errors: exponential backoff without Retry-After
      const delay = Math.min(1000 * Math.pow(2, attempt), 30000);
      await new Promise(r => setTimeout(r, delay));
      continue;
    }

    if (!res.ok) {
      throw new Error(`Figma API error: ${res.status} ${await res.text()}`);
    }

    return res.json();
  }
}
Step 3: Request Queue with Concurrency Control
typescript
import PQueue from 'p-queue';

// Limit concurrent requests to avoid bursting the bucket
const figmaQueue = new PQueue({
  concurrency: 3,       // max 3 parallel requests
  interval: 1000,       // per second
  intervalCap: 5,       // max 5 requests per second
});

async function queuedFigmaRequest<T>(
  path: string,
  token: string
): Promise<T> {
  return figmaQueue.add(() => figmaFetchWithRetry(path, token));
}

// Usage -- all requests are automatically queued and throttled
const [file, comments, images] = await Promise.all([
  queuedFigmaRequest(`/v1/files/${fileKey}`, token),
  queuedFigmaRequest(`/v1/files/${fileKey}/comments`, token),
  queuedFigmaRequest(`/v1/images/${fileKey}?ids=0:1&format=svg`, token),
]);
Step 4: Rate Limit Monitor
typescript
class FigmaRateLimitMonitor {
  private requestLog: number[] = [];
  private windowMs = 60_000; // 1 minute window

  recordRequest() {
    this.requestLog.push(Date.now());
    // Trim old entries
    const cutoff = Date.now() - this.windowMs;
    this.requestLog = this.requestLog.filter(t => t > cutoff);
  }

  getRequestsInWindow(): number {
    const cutoff = Date.now() - this.windowMs;
    return this.requestLog.filter(t => t > cutoff).length;
  }

  shouldThrottle(safetyMargin = 0.8): boolean {
    // If we've used 80% of a conservative estimate, slow down
    const estimatedLimit = 30; // Conservative estimate
    return this.getRequestsInWindow() > estimatedLimit * safetyMargin;
  }
}

const monitor = new FigmaRateLimitMonitor();

// Wrap every request
async function monitoredFigmaFetch(path: string, token: string) {
  if (monitor.shouldThrottle()) {
    console.warn('Approaching rate limit, adding delay');
    await new Promise(r => setTimeout(r, 2000));
  }
  monitor.recordRequest();
  return figmaFetchWithRetry(path, token);
}
Step 5: Batch Node Requests
typescript
// Instead of N individual /v1/files/:key/nodes requests,
// batch node IDs into fewer requests
async function batchFetchNodes(
  fileKey: string,
  nodeIds: string[],
  batchSize = 50,
  token: string
) {
  const results: Record<string, any> = {};

  for (let i = 0; i < nodeIds.length; i += batchSize) {
    const batch = nodeIds.slice(i, i + batchSize);
    const ids = encodeURIComponent(batch.join(','));
    const data = await queuedFigmaRequest(
      `/v1/files/${fileKey}/nodes?ids=${ids}`,
      token
    );
    Object.assign(results, data.nodes);
  }

  return results;
}

Output

  • Automatic retry with Retry-After header compliance
  • Request queue preventing burst overload
  • Rate limit monitoring with proactive throttling
  • Batch operations reducing total request count

Error Handling

ScenarioDetectionResponse
Single 429Retry-After headerWait exactly that duration
Repeated 429sMultiple retries exhaustedLog, alert, back off longer
low rate limit typeX-Figma-Rate-Limit-Type: lowConsider upgrading Figma plan
Batch too large400 Bad RequestReduce batch size to 50 IDs

Examples

Reproduce a 429 and read the headers that drive every pattern in this skill (Step 1):

bash
for i in $(seq 1 60); do
  curl -s -o /dev/null -D - -H "X-Figma-Token: ${FIGMA_PAT}" \
    "https://api.figma.com/v1/files/${FIGMA_FILE_KEY}?depth=1" | /usr/bin/grep -iE '^(HTTP|retry-after)'
done | sort | uniq -c
text
  54 HTTP/2 200
   6 HTTP/2 429
   6 retry-after: 30

Collapse N per-node calls into one batched request (Step 5) — the single biggest budget win:

bash
curl -s -H "X-Figma-Token: ${FIGMA_PAT}" \
  "https://api.figma.com/v1/files/${FIGMA_FILE_KEY}/nodes?ids=1:2,1:5,1:9,2:14" | jq '.nodes | keys'

Backoff implementation and the queue: references/implement-exponential-backoff.md, references/request-queue-with-concurrency-control.md.

Resources

Next Steps

For security configuration, see figma-security-basics.

© 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 6 other files (references) in skills/.curated/figma-rate-limits of jeremylongshore/tons-of-skills-marketplace.

  • SKILL.md
  • references/batch-node-requests.md
  • references/errors.md
  • references/implement-exponential-backoff.md
  • references/rate-limit-monitor.md
  • references/request-queue-with-concurrency-control.md
  • references/understand-the-rate-limit-model.md

Open the folder on GitHubat commit cfae287

Compare with similar skills

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Figma Rate Limits this skilljeremylongshore/tons-of-skills-marketplace2.8k—~1.8kAutomated safety check: PassMIT
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Upstash Ratelimit TSupstash/ratelimit-js2k—~313Automated safety check: PassMIT
Io Figmagridaco/grida2.7k—~2.2kAutomated safety check: NotesApache-2.0
Repo2skillzhangyanxs/repo2skill246—~3.6kAutomated safety check: PassNone
Better Auth Security Best PracticesEpicenterHQ/epicenter4.8k—~896Automated safety check: PassCustom licence

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Works with

Categories

Questions about Figma Rate Limits

What does Figma Rate Limits do?

Handle Figma REST API rate limits with exponential backoff and request queuing. Figma Rate Limits is an agent skill from jeremylongshore/tons-of-skills-marketplace. Handle Figma REST API rate limits with exponential backoff and request queuing.

When should I use Figma Rate Limits?

Figma Rate Limits fits situations like: encountering 429 errors; implementing retry logic; optimizing API request throughput for Figma; with phrases like figma rate limit.

How do I install Figma Rate Limits in Claude Code?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill figma-rate-limits -a claude-code`. Or copy the skill folder (skills/.curated/figma-rate-limits in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/figma-rate-limits in your project. Claude Code loads it when a task matches its description.

How do I install Figma Rate Limits in Codex?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill figma-rate-limits -a codex`. Or copy the skill folder (skills/.curated/figma-rate-limits in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/figma-rate-limits in your project. Codex loads it when a task matches its description.

Can I use Figma Rate Limits in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill figma-rate-limits -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/figma-rate-limits, .gemini/skills/figma-rate-limits, .github/skills/figma-rate-limits and .opencode/skills/figma-rate-limits in your project.

What does Figma Rate Limits need to run?

Going by SKILL.md and its folder, Figma Rate Limits needs the command-line tools its instructions call (curl and jq) and credentials named FIGMA_FILE_KEY. Our summary lists: A credential in FIGMA_FILE_KEY. Its frontmatter pre-approves these tools: Read, Write, Edit. Compatibility (from SKILL.md): Designed for Claude Code.

Does Figma Rate Limits access the network?

SKILL.md names 4 domains. In commands or code: api.figma.com; the agent is likely to contact it when it follows the instructions. As links in the text: developers.figma.com, help.figma.com and github.com. This is read from the text; nothing was executed.

Is Figma Rate Limits safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Figma Rate Limits use?

Figma Rate Limits is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Figma Rate Limits use?

About 1.8k tokens (SKILL.md is roughly 7.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.7k tokens, read only when the agent opens those files.

What are the alternatives to Figma Rate Limits?

Skills that share tags, products or a category with Figma Rate Limits: Add Hosted Key (simstudioai/sim, 30k stars), Upstash Ratelimit TS (upstash/ratelimit-js, 2k stars), Io Figma (gridaco/grida, 2.7k stars) and Repo2skill (zhangyanxs/repo2skill, 246 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Figma Rate Limits?

jeremylongshore (a GitHub user) maintains it in jeremylongshore/tons-of-skills-marketplace, which has 2,827 GitHub stars. The repository holds 3,342 skills in this directory. The repository was last updated on October 10, 2026.

Source: jeremylongshore/tons-of-skills-marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.