local-ai-app-integration
Cursor Skill
Integrates local AI capabilities into applications using Embeddable Lemonade. Use when the user wants to add local AI, offline AI, private AI, on-device AI, a local LLM, local chat, embeddings, image generation, speech-to-text, or text-to-speech to an app; replace or supplement O
AMD's verified Agent Skills in one plugin: route image/audio through local AI on Ryzen AI, serve LLMs on AMD Instinct GPUs with vLLM, and analyze GPU kernel and PyTorch trace performance.
Created by AMDView Source
Skills4
local-ai-useRoutes image generation, text-to-speech, and speech-to-text through a local Lemonade Server so the agent stops paying for cloud calls on those modalities. Use when the user wants to save tokens, save cost, or save money using local AI; default to local, offline, on-device, or pri
local-ai-app-integrationIntegrates local AI capabilities into applications using Embeddable Lemonade. Use when the user wants to add local AI, offline AI, private AI, on-device AI, a local LLM, local chat, embeddings, image generation, speech-to-text, or text-to-speech to an app; replace or supplement O
serving-llms-on-instinctServes AI models on AMD Instinct GPU hardware using vLLM. Use this skill whenever the user wants to run, serve, deploy, start, host, or launch a language model on an AMD GPU, AMD Instinct, MI300X, MI325X, MI350X, or MI355X. Also use when the user mentions vLLM on ROCm, vLLM on AM
tracelens-analysis-orchestratorOrchestrates modular PyTorch profiler trace analysis with TraceLens: generates perf reports, prepares category data, runs system-level and compute-kernel subagents in parallel, validates outputs, and writes a prioritized stakeholder report (analysis.md). Use when the user asks to
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