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local-ai-app-integration

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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 existing app; replace or supplement OpenAI, Anthropic, Ollama, or other cloud AI APIs with a local backend; only use to convert user apps. Do not use when the user just wants the agent itself to generate images, transcribe, or speak locally in the current workspace, even to cut their own API bill.

skills/local-ai-app-integration/SKILL.md

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Nov 8, 2026
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MIT

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# Local AI App Integration (Embeddable Lemonade)

Add a local AI mode to an existing app that already talks to a cloud AI API
(OpenAI, Anthropic, or Ollama-compatible). The app launches `lemond`, the
Embeddable Lemonade binary, as a private subprocess and the existing client
talks to it on `http://localhost:PORT/api/v1`. The user gets local, private,
hardware-optimized inference (CPU, AMD iGPU/dGPU, XDNA2 NPU) with no separate
install.

**What you'll end up with:** one new launcher module (~30 lines), three mandatory changes to the existing HTTP client (`base_url`, `api_key`, and a 120-second HTTP timeout), one vendored binary under `vendor/lemonade/`.

## When this skill is the right tool

Use this skill when **all** of the following are true: