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gamma-cost-tuning

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npx claudepluginhub jeremylongshore/claude-code-plugins-plus-skills --plugin gamma-pack

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Description

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".

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references/implementation.md
Skill Content

Gamma Cost Tuning

Contents

Overview

Optimize Gamma API usage to minimize costs through usage monitoring, quotas, caching, and smart AI generation patterns.

Prerequisites

  • Active Gamma subscription
  • Access to usage dashboard
  • Understanding of pricing tiers

Instructions

Step 1: Implement Usage Monitoring

Track daily usage by operation type (presentations, generations, exports, API calls). Alert at 80% of plan limits.

Step 2: Configure Per-User Quotas

Set quotas per user with auto-reset. Check quotas before API calls and decrement on success.

Step 3: Optimize AI Generation

Use templates with targeted AI generation only for slides that need it, rather than full AI generation for every slide.

Step 4: Add Response Caching

Use Redis with 1-hour TTL to eliminate redundant API calls for repeated data.

Step 5: Batch Operations

Replace individual API calls with batch operations. Queue non-urgent work for off-peak processing.

Step 6: Set Budget Alerts

Configure threshold alerts at 50%, 75%, 90%, and 100% of monthly budget. Auto-disable non-critical features at budget cap.

See detailed implementation for advanced patterns.

Output

  • Usage monitoring with alerts
  • Per-user quota system
  • Optimized AI generation patterns
  • Caching layer for API calls
  • Budget management with auto-cutoff

Error Handling

IssueCauseSolution
Quota exceededHeavy usageIncrease quota or throttle
Budget overrunNo alerts setConfigure threshold alerts
Cache stale dataLong TTLReduce TTL or add invalidation

Examples

Gamma Pricing Reference

ResourceFreeProTeamEnterprise
Presentations/mo10100500Custom
AI generations550200Unlimited
Exports/mo10100500Unlimited

Cost Reduction Strategies

StrategySavingsImplementation
Caching30-50%Redis/in-memory cache
Batching20-40%Batch API calls
Templates40-60%Reduce AI usage
Off-peak10-20%Queue for low-cost periods

Resources

Stats
Stars1676
Forks210
Last CommitMar 11, 2026

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