From canva-pack
Load tests Canva Connect API with k6, plans capacity around rate limits, and auto-scales integrations using Kubernetes.
How this skill is triggered — by the user, by Claude, or both
Slash command
/canva-pack:canva-load-scaleThis skill is limited to the following tools:
The summary Claude sees in its skill listing — used to decide when to auto-load this skill
Load test and scale Canva Connect API integrations. Since Canva enforces per-user rate limits, scaling means distributing load across users, not increasing per-user throughput.
Load test and scale Canva Connect API integrations. Since Canva enforces per-user rate limits, scaling means distributing load across users, not increasing per-user throughput.
| Operation | Per-User Limit | Implication |
|---|---|---|
| Create design | 20/min | Max 1,200 designs/hr per user |
| List designs | 100/min | Generous for reads |
| Create export | 75/5min (500/24hr) | Max 500 exports/day per user |
| Integration export | 750/5min (5,000/24hr) | Shared across all users |
| Upload asset | 30/min | Max 1,800/hr per user |
| Autofill | 60/min | Max 3,600/hr per user |
Key insight: The integration-wide export limit of 5,000/day across ALL users is the most constraining for high-volume scenarios.
// canva-load-test.js
import http from 'k6/http';
import { check, sleep } from 'k6';
import { Rate, Trend } from 'k6/metrics';
const errorRate = new Rate('canva_error_rate');
const exportDuration = new Trend('canva_export_duration');
export const options = {
scenarios: {
design_operations: {
executor: 'ramping-vus',
startVUs: 1,
stages: [
{ duration: '1m', target: 5 }, // Ramp up slowly
{ duration: '3m', target: 5 }, // Steady state
{ duration: '1m', target: 10 }, // Test rate limits
{ duration: '3m', target: 10 }, // Sustained load
{ duration: '1m', target: 0 }, // Ramp down
],
},
},
thresholds: {
http_req_duration: ['p(95)<2000'], // P95 < 2s
canva_error_rate: ['rate<0.05'], // < 5% errors
canva_export_duration: ['p(95)<30000'], // Exports < 30s
},
};
const BASE = 'https://api.canva.com/rest/v1';
const TOKEN = __ENV.CANVA_ACCESS_TOKEN;
const headers = {
'Authorization': `Bearer ${TOKEN}`,
'Content-Type': 'application/json',
};
export default function () {
// 1. List designs (high rate limit — safe to call frequently)
const listRes = http.get(`${BASE}/designs?limit=5`, { headers });
check(listRes, { 'list 200': (r) => r.status === 200 });
errorRate.add(listRes.status !== 200);
if (listRes.status === 429) {
const retryAfter = parseInt(listRes.headers['Retry-After'] || '60');
sleep(retryAfter);
return;
}
// 2. Create a design (20/min limit)
const createRes = http.post(`${BASE}/designs`, JSON.stringify({
design_type: { type: 'custom', width: 100, height: 100 },
title: `k6 test ${Date.now()}`,
}), { headers });
check(createRes, { 'create 200': (r) => r.status === 200 });
errorRate.add(createRes.status !== 200);
if (createRes.status === 200) {
const designId = createRes.json('design.id');
// 3. Export (75/5min limit — most constrained)
const exportStart = Date.now();
const exportRes = http.post(`${BASE}/exports`, JSON.stringify({
design_id: designId,
format: { type: 'png' },
}), { headers });
if (exportRes.status === 200) {
const jobId = exportRes.json('job.id');
// Poll for completion
let status = 'in_progress';
while (status === 'in_progress') {
sleep(2);
const pollRes = http.get(`${BASE}/exports/${jobId}`, { headers });
status = pollRes.json('job.status');
}
exportDuration.add(Date.now() - exportStart);
}
}
sleep(3); // Stay under rate limits
}
k6 run --env CANVA_ACCESS_TOKEN="${CANVA_ACCESS_TOKEN}" canva-load-test.js
# With Grafana/InfluxDB output
k6 run --out influxdb=http://localhost:8086/k6 canva-load-test.js
Users requesting designs
│
▼
┌─────────────┐
│ Load │
│ Balancer │
└──────┬──────┘
│
▼
┌─────────────┐ ┌─────────────┐
│ App Pod 1 │ │ App Pod N │
│ (per-user │ ... │ (per-user │
│ tokens) │ │ tokens) │
└──────┬──────┘ └──────┬──────┘
│ │
▼ ▼
┌─────────────────────────────────┐
│ Rate Limiter Queue │
│ (respects per-user + global │
│ Canva rate limits) │
└──────────────┬──────────────────┘
│
▼
api.canva.com
/rest/v1/*
function estimateCanvaCapacity(users: number): {
designsPerDay: number;
exportsPerDay: number;
constrainingFactor: string;
} {
const perUserExportDaily = 500;
const integrationExportDaily = 5000;
const totalUserExports = users * perUserExportDaily;
const effectiveExports = Math.min(totalUserExports, integrationExportDaily);
return {
designsPerDay: users * 1200 * 8, // 20/min * 60 * 8 work hours
exportsPerDay: effectiveExports,
constrainingFactor: effectiveExports === integrationExportDaily
? `Integration-wide limit: ${integrationExportDaily}/day (hit at ${Math.ceil(integrationExportDaily / perUserExportDaily)} users)`
: `Per-user limit: ${perUserExportDaily}/day per user`,
};
}
// Example
const cap = estimateCanvaCapacity(20);
console.log(`Exports/day: ${cap.exportsPerDay}`);
console.log(`Constraint: ${cap.constrainingFactor}`);
// Exports/day: 5000 (integration limit)
// Constraint: Integration-wide limit: 5000/day (hit at 10 users)
apiVersion: autoscaling/v2
kind: HorizontalPodAutoscaler
metadata:
name: canva-integration-hpa
spec:
scaleTargetRef:
apiVersion: apps/v1
kind: Deployment
name: canva-integration
minReplicas: 2
maxReplicas: 10
metrics:
- type: Resource
resource:
name: cpu
target:
type: Utilization
averageUtilization: 70
- type: Pods
pods:
metric:
name: canva_export_queue_depth
target:
type: AverageValue
averageValue: 50
| Issue | Cause | Solution |
|---|---|---|
| k6 all 429s | Rate limit hit | Increase sleep between iterations |
| Integration quota hit | > 5000 exports/day | Contact Canva for limit increase |
| Export timeouts | Complex designs | Increase poll timeout |
| Inconsistent results | Cold start | Add warm-up phase |
For reliability patterns, see canva-reliability-patterns.
npx claudepluginhub jeremylongshore/claude-code-plugins-plus-skills --plugin canva-packManages Canva Connect API rate limits using exponential backoff with jitter and PQueue queuing for endpoints like designs, exports, assets. Prevents 429 errors in integrations.
Load tests Figma API integrations with k6 scripts to benchmark throughput, probe rate limits, and plan capacity for high-volume use.
Implements k6 load testing and Kubernetes HPA auto-scaling for Adobe APIs including Firefly, PDF Services, and Photoshop. Handles async delays and rate limits.