Robotics Automation skills for AI agents
10 practitioner-grade robotics automation skills, each a focused Markdown document your agent loads into context on demand. Search them from Claude Desktop, Cursor or any MCP client, or pull one with the CLI.
All 10 skills
- Computer Vision Robotics
Skill for implementing computer vision pipelines on robotic platforms, covering OpenCV processing, object detection and tracking, visual SLAM, depth sensing, and real-time perception for autonomous decision-making.
60 lines - Drone Programming
Skill for developing software for autonomous drones using ArduPilot, PX4, and MAVLink, covering flight controller configuration, autonomous mission planning, companion computer integration, and safety system design.
61 lines - Embedded Systems
Skill for developing embedded firmware for robotic systems on ARM microcontrollers, covering RTOS task management, peripheral communication protocols, power management, real-time constraints, and hardware-software co-design.
62 lines - Industrial Automation
Skill for designing and programming industrial automation systems including PLC programming, SCADA system integration, ladder logic development, HMI design, and industrial communication protocols for manufacturing and process control.
61 lines - IoT Devices
Skill for developing IoT device firmware and systems using MQTT, ESP32, sensor networks, and edge computing, covering connectivity, data pipelines, OTA updates, security, and fleet management for connected robotic and automation systems.
61 lines - Motor Control
Skill for designing and implementing motor control systems including stepper and servo motor driving, PID tuning, encoder feedback, current limiting, and motion profile generation for robotic actuators.
61 lines - Path Planning
Skill for implementing path planning and motion planning algorithms for robots, covering graph search methods, sampling-based planners, trajectory optimization, obstacle avoidance, and real-time re-planning in dynamic environments.
61 lines - Robot Arm Kinematics
Skill for implementing forward and inverse kinematics for robotic manipulators, covering DH parameterization, workspace analysis, trajectory generation, singularity handling, and integration with motion planning frameworks.
61 lines - ROS Robotics
Skill for developing robotic systems using ROS2, covering node architecture, topic-based communication, service calls, action servers, and lifecycle management for production-grade robot software stacks.
64 lines - Sensor Integration
Skill for integrating and fusing data from robotic sensor suites including IMUs, LIDAR, ultrasonic rangefinders, cameras, and GPS, with emphasis on calibration, time synchronization, noise characterization, and multi-sensor fusion.
60 lines