gamma-rate-limits
Understand 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".
Best use case
gamma-rate-limits is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Understand 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".
Teams using gamma-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/gamma-rate-limits/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How gamma-rate-limits Compares
| Feature / Agent | gamma-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?
Understand 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".
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
# Gamma Rate Limits
## Overview
Understand Gamma API rate limits and implement effective strategies for high-volume usage.
## Prerequisites
- Active Gamma API integration
- Understanding of HTTP headers
- Basic queuing concepts
## Rate Limit Tiers
| Plan | Requests/min | Presentations/day | Exports/hour |
|------|-------------|-------------------|--------------|
| Free | 10 | 5 | 10 |
| Pro | 60 | 50 | 100 |
| Team | 200 | 200 | 500 |
| Enterprise | Custom | Custom | Custom |
## Instructions
### Step 1: Check Rate Limit Headers
```typescript
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)); # 1000: 1 second in ms
```
### Step 2: Implement Exponential Backoff
```typescript
async function withBackoff<T>(
fn: () => Promise<T>,
options = { maxRetries: 5, baseDelay: 1000 } # 1000: 1 second in ms
): Promise<T> {
for (let attempt = 0; attempt < options.maxRetries; attempt++) {
try {
return await fn();
} catch (err) {
if (err.status !== 429 || attempt === options.maxRetries - 1) { # HTTP 429 Too Many Requests
throw err;
}
const delay = err.retryAfter
? err.retryAfter * 1000 # 1 second in ms
: 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' })
);
```
### Step 3: Request Queue
```typescript
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; # 60000: 1 minute in ms
}
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({ ... })),
]);
```
### Step 4: Monitor Usage
```typescript
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), # 1000: 1 second in ms
resetIn: Math.ceil((status.reset * 1000 - Date.now()) / 1000), # 1 second in ms
};
}
// Usage
const status = await getRateLimitStatus();
console.log(`Used ${status.percentUsed}% of rate limit`);
console.log(`Resets in ${status.resetIn} seconds`);
```
## Output
- Rate limit aware API calls
- Automatic retry with backoff
- Request queuing system
- Usage monitoring dashboard
## Error Handling
| 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 |
## Resources
- [Gamma Rate Limits](https://gamma.app/docs/rate-limits)
- [Rate Limit Best Practices](https://gamma.app/docs/best-practices)
## Next Steps
Proceed to `gamma-security-basics` for security best practices.Related Skills
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