canva-rate-limits
Handle Canva Connect API rate limits with backoff, queuing, and monitoring. Use when hitting 429 errors, implementing retry logic, or optimizing API request throughput for Canva integrations. Trigger with phrases like "canva rate limit", "canva throttling", "canva 429", "canva retry", "canva backoff".
Best use case
canva-rate-limits is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Handle Canva Connect API rate limits with backoff, queuing, and monitoring. Use when hitting 429 errors, implementing retry logic, or optimizing API request throughput for Canva integrations. Trigger with phrases like "canva rate limit", "canva throttling", "canva 429", "canva retry", "canva backoff".
Teams using canva-rate-limits should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/canva-rate-limits/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How canva-rate-limits Compares
| Feature / Agent | canva-rate-limits | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Handle Canva Connect API rate limits with backoff, queuing, and monitoring. Use when hitting 429 errors, implementing retry logic, or optimizing API request throughput for Canva integrations. Trigger with phrases like "canva rate limit", "canva throttling", "canva 429", "canva retry", "canva backoff".
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# Canva Rate Limits
## Overview
The Canva Connect API enforces per-user, per-endpoint rate limits. Each endpoint has different thresholds. A 429 response means you must wait before retrying.
## Canva Connect API Rate Limits
| Endpoint | Method | Limit |
|----------|--------|-------|
| `/v1/users/me` | GET | 10 req/min |
| `/v1/users/me/profile` | GET | 10 req/min |
| `/v1/designs` | GET | 100 req/min |
| `/v1/designs` | POST | 20 req/min |
| `/v1/designs/{id}` | GET | 100 req/min |
| `/v1/exports` | POST | 75 req/5min, 500/24hr per user |
| `/v1/exports` (integration) | POST | 750 req/5min, 5000/24hr |
| `/v1/exports` (per document) | POST | 75 req/5min |
| `/v1/asset-uploads` | POST | 30 req/min |
| `/v1/autofills` | POST | 60 req/min |
| `/v1/folders` | POST | 20 req/min |
| `/v1/brand-templates` | GET | 100 req/min |
All limits are **per user** of your integration unless noted otherwise.
## Exponential Backoff with Jitter
```typescript
async function canvaRequestWithBackoff<T>(
fn: () => Promise<T>,
config = { maxRetries: 5, baseDelayMs: 1000, maxDelayMs: 60000 }
): Promise<T> {
for (let attempt = 0; attempt <= config.maxRetries; attempt++) {
try {
return await fn();
} catch (error: any) {
if (attempt === config.maxRetries) throw error;
// Only retry on 429 or 5xx
const status = error.status || error.response?.status;
if (status !== 429 && (status < 500 || status >= 600)) throw error;
// Honor Retry-After header if present
const retryAfter = error.headers?.get?.('Retry-After');
const delay = retryAfter
? parseInt(retryAfter) * 1000
: Math.min(
config.baseDelayMs * Math.pow(2, attempt) + Math.random() * 1000,
config.maxDelayMs
);
console.warn(`Rate limited (attempt ${attempt + 1}/${config.maxRetries}). Waiting ${(delay / 1000).toFixed(1)}s`);
await new Promise(r => setTimeout(r, delay));
}
}
throw new Error('Unreachable');
}
```
## Queue-Based Rate Limiting
```typescript
import PQueue from 'p-queue';
// Match per-user endpoint limits
const canvaQueues = {
designs: new PQueue({ concurrency: 1, interval: 3000, intervalCap: 1 }), // ~20/min
exports: new PQueue({ concurrency: 1, interval: 4000, intervalCap: 1 }), // ~15/min (conservative)
assets: new PQueue({ concurrency: 1, interval: 2000, intervalCap: 1 }), // ~30/min
reads: new PQueue({ concurrency: 3, interval: 1000, intervalCap: 3 }), // ~100/min (shared reads)
};
// Usage — automatically queued to stay under limits
const design = await canvaQueues.designs.add(() =>
client.createDesign({ design_type: { type: 'custom', width: 1080, height: 1080 }, title: 'Queued' })
);
// Batch export with rate control
const designIds = ['DAV1', 'DAV2', 'DAV3', 'DAV4', 'DAV5'];
const exports = await Promise.all(
designIds.map(id =>
canvaQueues.exports.add(() =>
client.createExport({ design_id: id, format: { type: 'pdf' } })
)
)
);
```
## Rate Limit Monitor
```typescript
class CanvaRateLimitTracker {
private windows: Map<string, { count: number; resetAt: number }> = new Map();
track(endpoint: string, response: Response): void {
const remaining = response.headers.get('X-RateLimit-Remaining');
const reset = response.headers.get('X-RateLimit-Reset');
if (remaining !== null) {
this.windows.set(endpoint, {
count: parseInt(remaining),
resetAt: reset ? parseInt(reset) * 1000 : Date.now() + 60000,
});
}
}
shouldThrottle(endpoint: string): boolean {
const window = this.windows.get(endpoint);
if (!window) return false;
return window.count < 3 && Date.now() < window.resetAt;
}
getWaitMs(endpoint: string): number {
const window = this.windows.get(endpoint);
if (!window) return 0;
return Math.max(0, window.resetAt - Date.now());
}
report(): Record<string, { remaining: number; resetsIn: string }> {
const report: Record<string, any> = {};
for (const [ep, w] of this.windows) {
report[ep] = {
remaining: w.count,
resetsIn: `${Math.max(0, (w.resetAt - Date.now()) / 1000).toFixed(0)}s`,
};
}
return report;
}
}
```
## Proactive Throttling
```typescript
// Wrap the client to throttle before hitting limits
async function throttledCanvaRequest<T>(
tracker: CanvaRateLimitTracker,
endpoint: string,
fn: () => Promise<T>
): Promise<T> {
if (tracker.shouldThrottle(endpoint)) {
const waitMs = tracker.getWaitMs(endpoint);
console.log(`Proactively waiting ${waitMs}ms for ${endpoint}`);
await new Promise(r => setTimeout(r, waitMs));
}
return fn();
}
```
## Error Handling
| Scenario | Detection | Action |
|----------|-----------|--------|
| Single 429 | HTTP status | Wait `Retry-After` seconds, retry |
| Sustained 429s | Multiple retries fail | Reduce request rate, increase backoff |
| Export quota hit | 500/24hr per user | Queue exports, spread across hours |
| Integration quota | 5000/24hr exports | Distribute across users |
## Resources
- [API Requests & Responses](https://www.canva.dev/docs/connect/api-requests-responses/)
- [p-queue](https://github.com/sindresorhus/p-queue)
## Next Steps
For security configuration, see `canva-security-basics`.Related Skills
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