Individual skill
figma-performance-tuning
Optimize Figma REST API performance with caching, partial fetches, and connection reuse. Use when experiencing slow API responses, reducing bandwidth for large files, or optimizing request throughput for Figma integrations. Trigger with phrases like "figma performance", "figma slow", "figma caching", "figma optimize", "figma large file".
plugins/saas-packs/figma-pack/skills/figma-performance-tuning/SKILL.md
Source commit 0500b275e963c027f6b410e8c49c0446945c574e
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- Last checked
- Nov 12, 2026
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- 2,916
- Repository last updated
- Nov 12, 2026
- License
- MIT
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- ai Repository topic
- automation Repository topic
- claude-code Repository topic
- devops Repository topic
- mcp Repository topic
- ai-agents Repository topic
- anthropic Repository topic
- claude-code-plugins Repository topic
- developer-tools Repository topic
- llm Repository topic
- saas Declared skill tag
- figma Declared skill tag
- design Derived category
- design-interface Derived category
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SKILL.mdcore · 6,740 bytesSKILL.mdcore · 6,740 bytesSKILL.mdcore · 6,740 bytesreferences/batch-node-fetches.mddoc · 1,081 bytesreferences/connection-reuse.mddoc · 806 bytesreferences/errors.mddoc · 694 bytesreferences/reduce-payload-size.mddoc · 1,148 bytesreferences/response-caching.mddoc · 1,603 bytesreferences/webhook-driven-cache-invalidation.mddoc · 800 bytes
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# Figma Performance Tuning
## Overview
Optimize Figma REST API performance. Large Figma files can return multi-megabyte JSON responses. Key strategies: fetch only what you need, cache aggressively, and batch requests.
## Prerequisites
- Working Figma API integration
- Understanding of your access patterns (which endpoints, how often)
## Instructions
### Step 1: Reduce Payload Size
