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Reachy Mini Marketplace

  • Updated January 7, 2026
  • gary149/reachy-mini-skill

Reachy Mini Skill is a Claude Code skill marketplace that supplies Reachy Mini SDK knowledge so developers can author robot control and media code correctly.

About

Reachy Mini Skill is a Claude Code marketplace and skill that embeds Reachy Mini robot SDK documentation so agents generate accurate control code. It covers motion, media, look-at utilities, deployment topologies, and advanced conversational robot patterns. Use it when you are building or debugging Python apps that command Reachy Mini hardware or simulators inside Claude Code.

  • Complete Reachy Mini SDK knowledge in a Claude Code skill
  • Head, antenna, camera, audio, and motion playback coverage
  • USB, wireless, simulation, and on-Pi deployment modes
  • Application patterns for face tracking and LLM integration

Reachy Mini Marketplace by the numbers

  • Data as of Jul 7, 2026 (Skillselion catalog sync)
/plugin marketplace add gary149/reachy-mini-skill

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Show developers this marketplace is listed on Skillselion. Paste this into your README.

Listed on Skillselion
Last updatedJanuary 7, 2026
Repositorygary149/reachy-mini-skill

How do you keep Claude Code from hallucinating Reachy Mini APIs when writing robot control software?

Install Reachy Mini skills so Claude Code writes correct SDK code for robot motion, media, deployment modes, and LLM-connected apps.

Who is it for?

Developers building Python applications that drive Reachy Mini robots or simulators with Claude Code assistance.

Skip if: Teams with no robotics hardware and no plans to integrate Reachy Mini SDK calls.

What you get

Claude applies SDK-accurate patterns for motion, media, deployment, and optional LLM-connected robot behaviors.

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FAQ

How do I install it?

Add marketplace `gary149/reachy-mini-skill` and run `/plugin install reachy-mini@Reachy Mini Marketplace` per the README.

What capabilities does the skill document?

Head and antenna control, camera and audio, motion record/playback, look-at functions, and multiple deployment modes.

Does it support LLM integrations?

The README lists advanced patterns including LLM integration and OpenAI realtime for conversational apps.

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