# Edge Deployment

> Deploy ML models to edge devices with resource constraints

- Skill: `lgrappag/edge-deployment` (Agent Skill)
- Install (CLI): `npx skillmds@latest add lgrappag/edge-deployment`
- Raw SKILL.md: https://api.skillmd.com/api/skills/lgrappag/edge-deployment/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: DevOps & Infra
- Author: LgrappaG (https://skillmd.com/u/lgrappag)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/lgrappag/edge-deployment

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# Edge Deployment

Deploy ML models to edge devices with resource constraints

## Risk Level
**HIGH**

## Core Rules
- Optimize for constraints
- test on target devices
- validate performance

## Response Pattern

### When Using This Skill
1. Optimize models
2. configure deployment
3. test on devices
4. Ensure performance meets requirements

## Usage Contexts
- Edge computing
- mobile deployment

## What NOT to Do
- Resource exhaustion
- deployment failures
- poor performance

## Key Requirements
- Understand the use cases before application
- Follow the documented response pattern
- Validate results in the target environment
- Monitor for performance impact

## Further Learning
Review related skills and documentation for deeper understanding of related systems and best practices.