reachy-mini-sdk

Orchestrate Reachy Mini robot programming with Python SDK and REST API.

8|4|Updated Jan 4, 2026
One-click install
npx skills add https://github.com/jjmartres/reachy-mini-sdk-skill --skill reachy-mini-sdk
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: reachy-mini-sdk
Source: https://github.com/jjmartres/reachy-mini-sdk-skill/tree/main/skill
Command: npx skills add https://github.com/jjmartres/reachy-mini-sdk-skill --skill reachy-mini-sdk

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Python-based workflows and REST controls for Reachy Mini robots are centralized, reducing integration friction and enabling repeatable robotic applications.

Core Features & Use Cases

  • Comprehensive Python SDK documentation for movement control, sensors, and AI integration.
  • REST API coverage with OpenAPI schema enabling multi-language clients and remote operation.
  • App management, motion recording, and real-time dashboards patterns for production-grade robotics.

Quick Start

Install the skill locally and begin exploring with the Quick Start guidance.

Frequently Asked Questions about reachy-mini-sdk

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I control Reachy Mini robots using a Python SDK and REST API?

To control Reachy Mini, use the Python SDK and REST API to orchestrate movement, sensors, and app management. This skill provides comprehensive documentation and OpenAPI schemas enabling multi-language clients and remote operation across local and remote deployments.

Can I generate multi-language API clients for Reachy Mini remote operation?

Yes, you can generate multi-language API clients for Reachy Mini remote operation. The skill provides REST API coverage with an OpenAPI schema, which enables client generation and supports remote operation across your deployment environment.

Does the Reachy Mini SDK support AI integration for vision and natural language pipelines?

Yes, the Reachy Mini SDK supports AI integration for vision and natural language understanding pipelines. The skill orchestrates end-to-end programming covering AI integration, requiring optional AI libraries to implement vision and NLU capabilities.

What Python version and dependencies are required for Reachy Mini motion control?

Reachy Mini motion control requires Python 3.12+, Reachy Mini SDK v1.2.6, and OpenAPI tooling. Optional AI libraries are necessary if you implement vision and natural language understanding pipelines alongside movement and sensor controls.

What is the best way to manage Reachy Mini applications and record robot motion?

The best way to manage Reachy Mini applications and record motion is using the Python SDK and REST API patterns. The skill provides app management, motion recording, and real-time dashboard patterns for production-grade robotics.