Curated agent skills for robotics — compare tools, clone hosted repos, and install with Skill Manager.
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8 skills found
Create and train custom reinforcement learning plugins for autonomous agents using 9 core algorithms including Decision Transformer and Actor-Critic for self-optimizing behavior.
Transforms complex information into structured study notes, summaries, and practice questions for effective learning and information retention.
Robot perception system design, configuration, and optimization for cameras, LiDAR, and sensor fusion pipelines. Includes camera calibration, 3D reconstruction, and production deployment best practices.
Scaffold and register new sensor, actuator, or service tools for familiar-ai, automating file creation and boilerplate integration in agent.py and config.py.
Dynamic meta-router for managing and orchestrating multi-domain AI coding agent skills across plugins and projects.
Python bindings (dartpy) for DART physics simulation: build wheels, generate type stubs, and manage robotics simulation workflows using nanobind and C++ integration.
Programmatic parametric CAD for AI agents. Create 3D models, mechanical parts, and complex geometries via MCP tools with support for boolean operations, patterns, and multi-format exports (STL, GLB, STEP).
Production-ready reinforcement learning using Stable Baselines3. Train agents, design custom environments, implement training callbacks, and optimize workflows with a scikit-learn-style API.