AI Agent Skills

Best-practice rulebook for a marketing site's pages, organized by page class — campaign landers, product pages, programmatic SEO trees, editorial. Use when writing or up…

A ROS node to perform a probabilistic 3-D/6-DOF localization system for mobile robots with 3-D LIDAR(s). It implements pointcloud based Monte Carlo localization that use…

Fast Incremental Euclidean Distance Fields for Online Motion Planning of Aerial Robots

A mission planner and visualizer for controlling outdoor ROS robots.

ROS package for dynamic obstacle avoidance for ground robots trained with deep RL

ROS 2 integration for Franka research robots

Generic calibration for robots

ros2_medkit - diagnostics gateway for ROS 2 robots. Faults, live data, operations, scripts, locking, triggers, and OTA updates via REST API. No SSH, no custom tooling.

Modular open-source brain for legged robots. Web UI for teleops, autonomous navigation, mapping & monitoring. 3D-printable hardware that runs on ROS2.

Easy to use and accurate hand eye calibration which has been working reliably for years (2016-present) with kinect, kinectv2, rgbd cameras, optical trackers, and several…

Bringing up a complete ROS2 system on a robot's onboard computer: systemd services, launch file composition, ordered startup, and production monitoring. Use this skill w…

Control AI robots. Community-driven UI middleware for controlling robots, recording datasets, training action models. Compatible with SO-100 and SO-101

Architecture patterns, design principles, and proven recipes for building robust robotics software. Use this skill when designing robot software architectures, choosing…

Foundational software design principles applied specifically to robotics module development. Use this skill when designing robot software modules, structuring codebases,…

Patterns and best practices for integrating ROS2 systems with web technologies including REST APIs, WebSocket bridges, and browser-based robot interfaces. Use this skill…

An open source toolkit for Distributed Deep Reinforcement Learning on real and simulated robots.