Set up and use RunAnywhere from the terminal — install rcli, sign in, pick a coding harness, run a model, check spend. Use when the user wants to get started with RunAnywhere, run a harness like opencode against a hosted or on-device model, or asks what their…
RunanywhereAI/RCLI
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Skills in this repository
Showing 6 of 6 collected skills.
Verify a built rcli binary against a pinned C++ desktop kit on macOS and Windows. Use when CI smoke/e2e is red, backends are missing, DLLs fail to load, or the Apple MLX host fails to link.
Run engine-agnostic rcli modality e2e on Apple Neural Engine (NeuRT) and Snapdragon Hexagon NPU (QHexRT) devices. Use when adding overlay backends, proving LLM/STT/TTS/VLM/embed/diffusion on device, or when a PC only has one modality's bundles on disk.
Where RCLI logic belongs — command layering, proto as SOT, kit vs CLI ownership, Apple MLX host vs rcli-cxx. Use when adding a command, moving inference logic, or deciding whether a bug is SDK or CLI.
Bump cmake/sdk-pin.cmake to a new published SDK C++ desktop kit (version + SHA-256 + IDL lock). Use after an SDK GitHub Release is published (not draft), when fetch-kit.sh 404s, or when SCHEMA_LOCK mismatches.
Cut an RCLI product release (independent of SDK version) — version bump, release:patch label, merge, auto-tag, bottles. Use when shipping rcli after a published SDK kit, or when Homebrew / notarization / private overlays must not leak into public bottles.
Install with an AI assistant
Copy this prompt into the AI assistant you're using.
Follow https://skillsmp.com/skill-install/prompt.md to install Agent Skills from https://github.com/RunanywhereAI/RCLI.