From gamma-pack
Optimize Gamma usage costs and manage API spending. Use when reducing API costs, implementing usage quotas, or planning for scale with budget constraints. Trigger with phrases like "gamma cost", "gamma billing", "gamma budget", "gamma expensive", "gamma pricing".
How this skill is triggered — by the user, by Claude, or both
Slash command
/gamma-pack:gamma-cost-tuningThis skill is limited to the following tools:
The summary Claude sees in its skill listing — used to decide when to auto-load this skill
Optimize Gamma API usage to minimize costs while maintaining functionality.
Optimize Gamma API usage to minimize costs while maintaining functionality.
| Resource | Free | Pro | Team | Enterprise |
|---|---|---|---|---|
| Presentations/mo | 10 | 100 | 500 | Custom |
| AI generations | 5 | 50 | 200 | Unlimited |
| Exports/mo | 10 | 100 | 500 | Unlimited |
| API calls/min | 10 | 60 | 200 | Custom |
| Storage | 1GB | 10GB | 100GB | Custom |
// Track usage per operation
interface UsageTracker {
presentations: number;
generations: number;
exports: number;
apiCalls: number;
}
const dailyUsage: UsageTracker = {
presentations: 0,
generations: 0,
exports: 0,
apiCalls: 0,
};
function trackUsage(operation: keyof UsageTracker) {
dailyUsage[operation]++;
// Check if approaching limits
const limits = { presentations: 100, generations: 50, exports: 100, apiCalls: 60 };
const percentage = (dailyUsage[operation] / limits[operation]) * 100;
if (percentage >= 80) {
console.warn(`Warning: ${operation} usage at ${percentage}%`);
alertOps(`Gamma ${operation} usage high: ${percentage}%`);
}
}
// Wrap API calls
async function createPresentation(opts: object) {
trackUsage('apiCalls');
trackUsage('presentations');
if (opts.generateAI) trackUsage('generations');
return gamma.presentations.create(opts);
}
interface UserQuota {
userId: string;
presentationsRemaining: number;
generationsRemaining: number;
exportsRemaining: number;
resetsAt: Date;
}
async function checkQuota(userId: string, operation: string): Promise<boolean> {
const quota = await getQuota(userId);
const quotaField = `${operation}Remaining` as keyof UserQuota;
if (typeof quota[quotaField] === 'number' && quota[quotaField] <= 0) {
throw new QuotaExceededError(`${operation} quota exceeded`);
}
return true;
}
async function consumeQuota(userId: string, operation: string) {
await db.quotas.update({
where: { userId },
data: { [`${operation}Remaining`]: { decrement: 1 } },
});
}
// Usage in API route
app.post('/api/presentations', async (req, res) => {
await checkQuota(req.userId, 'presentations');
const result = await gamma.presentations.create(req.body);
await consumeQuota(req.userId, 'presentations');
res.json(result);
});
// Expensive: Full AI generation for each request
const expensive = await gamma.presentations.create({
prompt: 'Create 20 slides about AI',
generateAI: true,
slideCount: 20, // Uses lots of AI credits
});
// Cost-effective: Template + targeted AI
const costEffective = await gamma.presentations.create({
template: 'business-pitch', // Pre-made structure
title: 'Our AI Solution',
slides: [
{ title: 'Introduction', content: predefinedContent },
{ title: 'Problem', generateAI: true }, // AI only where needed
{ title: 'Solution', generateAI: true },
{ title: 'Team', content: teamData }, // No AI needed
{ title: 'Contact', content: contactInfo },
],
});
import Redis from 'ioredis';
const redis = new Redis(process.env.REDIS_URL);
const CACHE_TTL = 3600; // 1 hour
async function getCachedOrFetch<T>(
key: string,
fetchFn: () => Promise<T>
): Promise<T> {
// Check cache
const cached = await redis.get(key);
if (cached) {
return JSON.parse(cached);
}
// Fetch and cache
const data = await fetchFn();
await redis.setex(key, CACHE_TTL, JSON.stringify(data));
return data;
}
// Usage - reduces repeated API calls
const presentation = await getCachedOrFetch(
`presentation:${id}`,
() => gamma.presentations.get(id)
);
// Expensive: Individual operations
for (const item of items) {
await gamma.presentations.create(item); // N API calls
}
// Cost-effective: Batch operation
await gamma.presentations.createBatch(items); // 1 API call
// Or queue for off-peak processing
await queue.addBulk(items.map(item => ({
name: 'create-presentation',
data: item,
opts: { delay: calculateOffPeakDelay() },
})));
// Set up budget alerts
const budget = {
monthly: 100, // $100/month
current: 0,
alertThresholds: [50, 75, 90, 100],
};
async function recordCost(operation: string, cost: number) {
budget.current += cost;
for (const threshold of budget.alertThresholds) {
const percentage = (budget.current / budget.monthly) * 100;
if (percentage >= threshold) {
await sendBudgetAlert(threshold, budget.current);
}
}
if (budget.current >= budget.monthly) {
await disableNonCriticalFeatures();
}
}
| Strategy | Savings | Implementation |
|---|---|---|
| Caching | 30-50% | Redis/in-memory cache |
| Batching | 20-40% | Batch API calls |
| Templates | 40-60% | Reduce AI usage |
| Off-peak | 10-20% | Queue for low-cost periods |
| Quotas | Variable | Per-user limits |
Proceed to gamma-reference-architecture for architecture patterns.
npx claudepluginhub jamon8888/claude-code-plugins-plus --plugin gamma-packGuides collaborative design exploration before implementation: explores context, asks clarifying questions, proposes approaches, and writes a design doc for user approval.
Creates structured, bite-sized implementation plans from specs or requirements before writing code. Useful for breaking down multi-step tasks into testable steps with file structure and task boundaries.
Synthesizes the current conversation into a structured spec (PRD) and publishes it to the project issue tracker with a ready-for-agent label, without interviewing the user.
9plugins reuse this skill
First indexed Jul 10, 2026
Showing the 6 earliest of 9 plugins