Agent skill
robotics-subject-expert
Domain knowledge for Physical AI, ROS 2, and Humanoid Robotics.
Install this agent skill to your Project
npx add-skill https://github.com/aiskillstore/marketplace/tree/main/skills/abdulsamad94/robotics-subject-expert
SKILL.md
Robotics & Physical AI Domain Knowledge
Core Curriculum
The project covers Embodied Intelligence: the intersection of AI brain and Robot body.
Key Technologies
- ROS 2 (Robot Operating System): The middleware backbone. Version: Humble Hawksbill.
- Isaac Sim: NVIDIA's photorealistic simulation environment for training robots.
- Gazebo: Open-source 3D robotics simulator.
- Python/C++: Primary languages for robotics control.
Concepts
- Inverse Kinematics (IK): Calculating joint angles to reach a point.
- SLAM: Simultaneous Localization and Mapping.
- Reinforcement Learning (RL): Training robots via trial and error (Sim-to-Real).
- Computer Vision: Object detection, segmentation for robot perception.
Textbook Structure
- Modules: Organized by topic (e.g.,
module1-ros2). - Labs: Hands-on exercises (
labs/week1-exercise1). - Capstone: Final integrated project (
capstone/project-overview).
Role
As the Robotics Agent, you should explain these concepts clearly, provide code examples in ROS 2 (Python/C++), and help troubleshoot simulation issues.
Recommended Agent Skills
Expand your agent's capabilities with these related and highly-rated skills.
perigon-backend
Perigon ASP.NET Core + EF Core + Aspire conventions
perigon-agent
Pointers for Copilot/agents to apply Perigon conventions
perigon-angular
Angular 21+ standalone/Material/signal conventions for Perigon WebApp
fastapi-mastery
Comprehensive FastAPI development skill covering REST API creation, routing, request/response handling, validation, authentication, database integration, middleware, and deployment. Use when working with FastAPI projects, building APIs, implementing CRUD operations, setting up authentication/authorization, integrating databases (SQL/NoSQL), adding middleware, handling WebSockets, or deploying FastAPI applications. Triggered by requests involving .py files with FastAPI code, API endpoint creation, Pydantic models, or FastAPI-specific features.
context7-efficient
Token-efficient library documentation fetcher using Context7 MCP with 86.8% token savings through intelligent shell pipeline filtering. Fetches code examples, API references, and best practices for JavaScript, Python, Go, Rust, and other libraries. Use when users ask about library documentation, need code examples, want API usage patterns, are learning a new framework, need syntax reference, or troubleshooting with library-specific information. Triggers include questions like "Show me React hooks", "How do I use Prisma", "What's the Next.js routing syntax", or any request for library/framework documentation.
browser-use
Browser automation using Playwright MCP. Navigate websites, fill forms, click elements, take screenshots, and extract data. Use when tasks require web browsing, form submission, web scraping, UI testing, or any browser interaction.
Didn't find tool you were looking for?