canva-sdk-patterns
Apply production-ready Canva Connect API client patterns for TypeScript and Python. Use when building a reusable API client, implementing token refresh, or establishing team coding standards for Canva integrations. Trigger with phrases like "canva client patterns", "canva best practices", "canva code patterns", "canva API wrapper", "canva TypeScript client".
What this skill does
# Canva SDK Patterns
## Overview
Production-ready patterns for wrapping the Canva Connect REST API. There is no official SDK — all integrations use `fetch` against `api.canva.com/rest/v1/*` with OAuth Bearer tokens. These patterns add automatic token refresh, retry logic, type safety, and multi-tenant support.
## Prerequisites
- Completed `canva-install-auth` setup
- Understanding of OAuth 2.0 token lifecycle
- TypeScript 5+ project (or Python 3.10+)
## Pattern 1: Type-Safe Client with Auto Token Refresh
```typescript
// src/canva/client.ts
interface CanvaTokens {
accessToken: string;
refreshToken: string;
expiresAt: number; // Unix ms
}
interface CanvaClientConfig {
clientId: string;
clientSecret: string;
tokens: CanvaTokens;
onTokenRefresh?: (tokens: CanvaTokens) => Promise<void>; // Persist new tokens
}
export class CanvaClient {
private static BASE = 'https://api.canva.com/rest/v1';
private tokens: CanvaTokens;
constructor(private config: CanvaClientConfig) {
this.tokens = config.tokens;
}
async request<T = any>(path: string, init: RequestInit = {}): Promise<T> {
// Auto-refresh if token expires within 5 minutes
if (Date.now() > this.tokens.expiresAt - 300_000) {
await this.refreshToken();
}
const res = await fetch(`${CanvaClient.BASE}${path}`, {
...init,
headers: {
'Authorization': `Bearer ${this.tokens.accessToken}`,
'Content-Type': 'application/json',
...init.headers,
},
});
if (res.status === 401) {
await this.refreshToken();
return this.request(path, init); // Retry once after refresh
}
if (!res.ok) {
const body = await res.text();
throw new CanvaAPIError(res.status, body, path);
}
return res.status === 204 ? (null as T) : res.json();
}
private async refreshToken(): Promise<void> {
const basicAuth = Buffer.from(
`${this.config.clientId}:${this.config.clientSecret}`
).toString('base64');
const res = await fetch(`${CanvaClient.BASE}/oauth/token`, {
method: 'POST',
headers: {
'Authorization': `Basic ${basicAuth}`,
'Content-Type': 'application/x-www-form-urlencoded',
},
body: new URLSearchParams({
grant_type: 'refresh_token',
refresh_token: this.tokens.refreshToken,
}),
});
if (!res.ok) throw new Error('Token refresh failed — user must re-authorize');
const data = await res.json();
this.tokens = {
accessToken: data.access_token,
refreshToken: data.refresh_token, // Single-use — always store the new one
expiresAt: Date.now() + data.expires_in * 1000,
};
await this.config.onTokenRefresh?.(this.tokens);
}
// Convenience methods matching the REST API
async getMe() { return this.request('/users/me'); }
async getProfile() { return this.request('/users/me/profile'); }
async createDesign(body: object) { return this.request('/designs', { method: 'POST', body: JSON.stringify(body) }); }
async getDesign(id: string) { return this.request(`/designs/${id}`); }
async listDesigns(params?: URLSearchParams) { return this.request(`/designs?${params || ''}`); }
async createExport(body: object) { return this.request('/exports', { method: 'POST', body: JSON.stringify(body) }); }
async getExport(id: string) { return this.request(`/exports/${id}`); }
async createAutofill(body: object) { return this.request('/autofills', { method: 'POST', body: JSON.stringify(body) }); }
async getAutofill(id: string) { return this.request(`/autofills/${id}`); }
}
```
## Pattern 2: Custom Error Class
```typescript
// src/canva/errors.ts
export class CanvaAPIError extends Error {
public readonly retryable: boolean;
constructor(
public readonly status: number,
public readonly body: string,
public readonly path: string
) {
super(`Canva API ${status} on ${path}: ${body}`);
this.name = 'CanvaAPIError';
this.retryable = status === 429 || status >= 500;
}
get isRateLimited(): boolean { return this.status === 429; }
get isAuthError(): boolean { return this.status === 401 || this.status === 403; }
get isNotFound(): boolean { return this.status === 404; }
}
```
## Pattern 3: Retry with Exponential Backoff
```typescript
// src/canva/retry.ts
export async function withRetry<T>(
fn: () => Promise<T>,
opts = { maxRetries: 3, baseDelayMs: 1000 }
): Promise<T> {
for (let attempt = 0; attempt <= opts.maxRetries; attempt++) {
try {
return await fn();
} catch (err) {
if (attempt === opts.maxRetries) throw err;
if (err instanceof CanvaAPIError && !err.retryable) throw err;
const delay = opts.baseDelayMs * Math.pow(2, attempt) + Math.random() * 500;
await new Promise(r => setTimeout(r, delay));
}
}
throw new Error('Unreachable');
}
```
## Pattern 4: Multi-Tenant Factory
```typescript
// src/canva/factory.ts
const clients = new Map<string, CanvaClient>();
export function getCanvaClientForUser(userId: string, db: TokenStore): CanvaClient {
if (!clients.has(userId)) {
const tokens = db.getTokens(userId);
clients.set(userId, new CanvaClient({
clientId: process.env.CANVA_CLIENT_ID!,
clientSecret: process.env.CANVA_CLIENT_SECRET!,
tokens,
onTokenRefresh: async (newTokens) => {
await db.saveTokens(userId, newTokens);
},
}));
}
return clients.get(userId)!;
}
```
## Pattern 5: Python REST Client
```python
# canva/client.py
import httpx
import base64
import time
class CanvaClient:
BASE = "https://api.canva.com/rest/v1"
def __init__(self, client_id: str, client_secret: str, tokens: dict):
self.client_id = client_id
self.client_secret = client_secret
self.tokens = tokens
self._http = httpx.AsyncClient(base_url=self.BASE, timeout=30)
async def request(self, method: str, path: str, **kwargs) -> dict:
if time.time() > self.tokens["expires_at"] - 300:
await self._refresh()
resp = await self._http.request(
method, path,
headers={"Authorization": f"Bearer {self.tokens['access_token']}"},
**kwargs,
)
if resp.status_code == 401:
await self._refresh()
return await self.request(method, path, **kwargs)
resp.raise_for_status()
return resp.json() if resp.content else {}
async def _refresh(self):
creds = base64.b64encode(
f"{self.client_id}:{self.client_secret}".encode()
).decode()
resp = await self._http.post(
"/oauth/token",
headers={"Authorization": f"Basic {creds}"},
data={"grant_type": "refresh_token", "refresh_token": self.tokens["refresh_token"]},
)
resp.raise_for_status()
data = resp.json()
self.tokens = {
"access_token": data["access_token"],
"refresh_token": data["refresh_token"],
"expires_at": time.time() + data["expires_in"],
}
```
## Response Validation with Zod
```typescript
import { z } from 'zod';
const CanvaDesignSchema = z.object({
design: z.object({
id: z.string(),
title: z.string(),
owner: z.object({ user_id: z.string(), team_id: z.string() }),
urls: z.object({ edit_url: z.string(), view_url: z.string() }),
created_at: z.number(),
updated_at: z.number(),
page_count: z.number(),
}),
});
const validated = CanvaDesignSchema.parse(await client.getDesign(id));
```
## Error Handling
| Pattern | Use Case | Benefit |
|---------|----------|---------|
| Auto-refresh | All API calls | Transparent token lifecycle |
| Error class | Error handling | Typed, retryable flags |
| Retry wrapper | Transient failures | Exponential backoff + jitter |
| Multi-tenant | SaaS apps | Per-user token isolation |
## Resources
- Canva API Reference
- [Authentication](https://www.canva.dev/docs/connect/authentication/)
- [OpenAPRelated in Backend & APIs
jfrog
IncludedInteract with the JFrog Platform via the JFrog CLI and REST/GraphQL APIs. Use this skill when the user wants to manage Artifactory repositories, upload or download artifacts, manage builds, configure permissions, manage users and groups, work with access tokens, configure JFrog CLI servers, search artifacts, manage properties, set up replication, manage JFrog Projects, run security audits or scans, look up CVE details, query exposures scan results from JFrog Advanced Security, manage release bundles and lifecycle operations, aggregate or export platform data, or perform any JFrog Platform administration task. Also use when the user mentions jf, jfrog, artifactory, xray, distribution, evidence, apptrust, onemodel, graphql, workers, mission control, curation, advanced security, exposures, or any JFrog product name.
cupynumeric-migration-readiness
IncludedPre-migration readiness assessor for porting NumPy to cuPyNumeric. Use BEFORE substantial porting work begins when the user asks whether code will scale on GPU, whether they should migrate to cuPyNumeric, which NumPy patterns transfer cleanly, what must be refactored before porting, or mentions pre-port assessment, scaling analysis, or refactor planning. Inspect the user's source code, look up NumPy usage, cross-reference the cuPyNumeric API support manifest, and distinguish distributed-scaling-friendly patterns from blockers such as unsupported APIs, scalar synchronization, host round-trips, Python/object-heavy control flow, shape/data-dependent branching, and in-place mutation hazards. Produce a verdict of READY, LIGHT REFACTOR, SIGNIFICANT REFACTOR, or NOT RECOMMENDED, with concrete refactor pointers.
alibabacloud-data-agent-skill
IncludedInvoke Alibaba Cloud Apsara Data Agent for Analytics via CLI to perform natural language-driven data analysis on enterprise databases. Data Agent for Analytics is an intelligent data analysis agent developed by Alibaba Cloud Database team for enterprise users. It automatically completes requirement analysis, data understanding, analysis insights, and report generation based on natural language descriptions. This tool supports: discovering data resources (instances/databases/tables) managed in DMS, initiating query or deep analysis sessions, real-time progress tracking, and retrieving analysis conclusions and generated reports. Use this Skill when users need to query databases, analyze data trends, generate data reports, ask questions in natural language, or mention "Data Agent", "data analysis", "database query", "SQL analysis", "data insights".
token-optimizer
IncludedReduce OpenClaw token usage and API costs through smart model routing, heartbeat optimization, budget tracking, and native 2026.2.15 features (session pruning, bootstrap size limits, cache TTL alignment). Use when token costs are high, API rate limits are being hit, or hosting multiple agents at scale. The 4 executable scripts (context_optimizer, model_router, heartbeat_optimizer, token_tracker) are local-only — no network requests, no subprocess calls, no system modifications. Reference files (PROVIDERS.md, config-patches.json) document optional multi-provider strategies that require external API keys and network access if you choose to use them. See SECURITY.md for full breakdown.
resend-cli
IncludedUse this skill when the task is specifically about operating Resend from an AI agent, terminal session, or CI job via the official resend CLI: installing/authenticating the CLI, sending/listing/updating/cancelling emails, batch sends, domains and DNS, webhooks and local listeners, inbound receiving, contacts, topics, segments, broadcasts, templates, API keys, profiles, or debugging Resend CLI/API failures. Trigger on mentions of Resend CLI, `resend`, `resend doctor`, `resend emails send`, `resend domains`, `resend webhooks listen`, `resend emails receiving`, or agent-friendly terminal automation.
alibabacloud-odps-maxframe-coding
IncludedUse this skill for MaxFrame SDK development and documentation navigation on Alibaba Cloud MaxCompute (ODPS). Helps answer MaxFrame API, concept, official example, and supported pandas API questions; create data processing programs; read/write MaxCompute tables; debug jobs (remote or local); and build custom DPE runtime images. Trigger when users mention MaxFrame, MaxCompute with MaxFrame, ODPS table processing, DPE runtime, MaxFrame docs/examples, DataFrame/Tensor operations, or GPU runtime setup. Works for both English and Chinese queries about Alibaba Cloud data processing with MaxFrame.