tessl install github:jeremylongshore/claude-code-plugins-plus-skills --skill gamma-rate-limitsUnderstand and manage Gamma API rate limits effectively. Use when hitting rate limits, optimizing API usage, or implementing request queuing systems. Trigger with phrases like "gamma rate limit", "gamma quota", "gamma 429", "gamma throttle", "gamma request limits".
Review Score
81%
Validation Score
12/16
Implementation Score
73%
Activation Score
90%
Understand Gamma API rate limits and implement effective strategies for high-volume usage.
| Plan | Requests/min | Presentations/day | Exports/hour |
|---|---|---|---|
| Free | 10 | 5 | 10 |
| Pro | 60 | 50 | 100 |
| Team | 200 | 200 | 500 |
| Enterprise | Custom | Custom | Custom |
const response = await gamma.presentations.list();
// Rate limit headers
const headers = response.headers;
console.log('Limit:', headers['x-ratelimit-limit']);
console.log('Remaining:', headers['x-ratelimit-remaining']);
console.log('Reset:', new Date(headers['x-ratelimit-reset'] * 1000));async function withBackoff<T>(
fn: () => Promise<T>,
options = { maxRetries: 5, baseDelay: 1000 }
): Promise<T> {
for (let attempt = 0; attempt < options.maxRetries; attempt++) {
try {
return await fn();
} catch (err) {
if (err.status !== 429 || attempt === options.maxRetries - 1) {
throw err;
}
const delay = err.retryAfter
? err.retryAfter * 1000
: options.baseDelay * Math.pow(2, attempt);
console.log(`Rate limited. Retrying in ${delay}ms...`);
await new Promise(r => setTimeout(r, delay));
}
}
throw new Error('Max retries exceeded');
}
// Usage
const result = await withBackoff(() =>
gamma.presentations.create({ title: 'My Deck', prompt: 'AI overview' })
);class RateLimitedQueue {
private queue: Array<() => Promise<any>> = [];
private processing = false;
private requestsPerMinute: number;
private interval: number;
constructor(requestsPerMinute = 60) {
this.requestsPerMinute = requestsPerMinute;
this.interval = 60000 / requestsPerMinute;
}
async add<T>(fn: () => Promise<T>): Promise<T> {
return new Promise((resolve, reject) => {
this.queue.push(async () => {
try {
resolve(await fn());
} catch (err) {
reject(err);
}
});
this.process();
});
}
private async process() {
if (this.processing) return;
this.processing = true;
while (this.queue.length > 0) {
const fn = this.queue.shift()!;
await fn();
await new Promise(r => setTimeout(r, this.interval));
}
this.processing = false;
}
}
// Usage
const queue = new RateLimitedQueue(30); // 30 req/min
const results = await Promise.all([
queue.add(() => gamma.presentations.create({ ... })),
queue.add(() => gamma.presentations.create({ ... })),
queue.add(() => gamma.presentations.create({ ... })),
]);async function getRateLimitStatus() {
const status = await gamma.rateLimit.status();
return {
limit: status.limit,
remaining: status.remaining,
percentUsed: ((status.limit - status.remaining) / status.limit * 100).toFixed(1),
resetAt: new Date(status.reset * 1000),
resetIn: Math.ceil((status.reset * 1000 - Date.now()) / 1000),
};
}
// Usage
const status = await getRateLimitStatus();
console.log(`Used ${status.percentUsed}% of rate limit`);
console.log(`Resets in ${status.resetIn} seconds`);| Scenario | Strategy | Implementation |
|---|---|---|
| Occasional 429 | Exponential backoff | withBackoff() wrapper |
| Consistent 429 | Request queue | RateLimitedQueue class |
| Near limit | Preemptive throttle | Check remaining before call |
| Burst traffic | Token bucket | Implement token bucket algorithm |
Proceed to gamma-security-basics for security best practices.