robotics-code-generator
Generates documented Python scripts for Physical AI tasks on various robotics platforms.
Install
mkdir -p .claude/skills/robotics-code-generator && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/420" && unzip -o skill.zip -d .claude/skills/robotics-code-generator && rm skill.zipInstalls to .claude/skills/robotics-code-generator
Activation
This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.
Generates clean, runnable ROS 2, Gazebo, Isaac Sim, and VLA code for humanoid roboticsKey capabilities
- →Generate Python code for ROS 2
- →Generate Python code for Gazebo simulations
- →Generate Python code for NVIDIA Isaac Sim/Lab
- →Generate Python code for Vision-Language-Action models
- →Produce fully commented and runnable code
How it works
The skill generates Python code for humanoid robotics tasks across specified platforms, ensuring the output includes imports, error handling, and comments.
Inputs & outputs
When to use robotics-code-generator
- →Writing ROS 2 nodes
- →Generating Isaac Sim simulations
- →Coding humanoid movement patterns
About this skill
You are a senior humanoid robotics engineer. Generate production-ready, fully commented Python code for any Physical AI task using ROS 2 Iron, Gazebo, NVIDIA Isaac Sim/Lab, or Vision-Language-Action models. Always include imports, error handling, and clear comments. Output only a markdown code block.
How it compares
This skill focuses on generating production-ready, commented Python code for specific robotics platforms, providing a tailored solution compared to general code generation.
Compared to similar skills
robotics-code-generator side by side with the closest alternatives in the catalog.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| robotics-code-generator (this skill) | 14 | 7mo | No flags | Advanced |
| modal | 5 | 7mo | Review | Intermediate |
| hugging-face-cli | 3 | 6mo | Review | Intermediate |
| computer-use-agents | 10 | 6mo | Review | Advanced |
Try saying
Example prompts that trigger this skill in your AI assistant.
You might also like
modal
davila7
Run Python code in the cloud with serverless containers, GPUs, and autoscaling. Use when deploying ML models, running batch processing jobs, scheduling compute-intensive tasks, or serving APIs that require GPU acceleration or dynamic scaling.
hugging-face-cli
patchy631
Execute Hugging Face Hub operations using the `hf` CLI. Use when the user needs to download models/datasets/spaces, upload files to Hub repositories, create repos, manage local cache, or run compute jobs on HF infrastructure. Covers authentication, file transfers, repository creation, cache operations, and cloud compute.
computer-use-agents
davila7
Build AI agents that interact with computers like humans do - viewing screens, moving cursors, clicking buttons, and typing text. Covers Anthropic's Computer Use, OpenAI's Operator/CUA, and open-source alternatives. Critical focus on sandboxing, security, and handling the unique challenges of vision-based control. Use when: computer use, desktop automation agent, screen control AI, vision-based agent, GUI automation.
machine-learning-ops-ml-pipeline
sickn33
Design and implement a complete ML pipeline for: $ARGUMENTS
ray-train
davila7
Distributed training orchestration across clusters. Scales PyTorch/TensorFlow/HuggingFace from laptop to 1000s of nodes. Built-in hyperparameter tuning with Ray Tune, fault tolerance, elastic scaling. Use when training massive models across multiple machines or running distributed hyperparameter sweeps.
hugging-face-tool-builder
patchy631
Use this skill when the user wants to build tool/scripts or achieve a task where using data from the Hugging Face API would help. This is especially useful when chaining or combining API calls or the task will be repeated/automated. This Skill creates a reusable script to fetch, enrich or process data.