Individual skill
figma-observability
Set up monitoring, metrics, and alerting for Figma API integrations. Use when implementing observability for Figma operations, tracking API health, or configuring alerts for rate limits and errors. Trigger with phrases like "figma monitoring", "figma metrics", "figma observability", "figma alerts", "figma dashboard".
skills/.curated/figma-observability/SKILL.md
Source commit 0500b275e963c027f6b410e8c49c0446945c574e
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- Not checked yet
- Last checked
- Nov 12, 2026
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- Repository stars (not skill ratings)
- 2,917
- 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 · 7,826 bytesSKILL.mdcore · 7,826 bytesSKILL.mdcore · 7,826 bytesreferences/alert-rules.mddoc · 1,416 bytesreferences/errors.mddoc · 680 bytesreferences/health-check-with-details.mddoc · 1,229 bytesreferences/instrumented-figma-client.mddoc · 2,392 bytesreferences/prometheus-metrics.mddoc · 1,341 bytes
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# Figma Observability
## Overview
Monitor Figma REST API health with custom metrics, structured logging, and alerts. Track request latency, error rates, rate limit headroom, and cache hit rates.
## Prerequisites
- Prometheus or compatible metrics backend (or use OpenTelemetry)
- Structured logging (pino, winston)
- Alerting system (PagerDuty, Slack, OpsGenie)
## Instructions
### Step 1: Instrumented Figma Client