Agent Skills for NVIDIA products — install into Claude Code, Codex, and other coding agents to run Physical AI, robotics, simulation, CUDA, and RAG workflows end to end.
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+87
STARS · LAST 30 DAYS
3
PER DAY
#281
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +21 | +87 | +270 |
| Per day | 3 | 3 | 3 |
| Forks gained | +2 | +8 | +21 |
skills gained 87 stars in the last 30 days, about 3 a day, and now has 3.5K. It is about 1 year old and has averaged roughly 3.5K stars a year. It ranks #281 among Python repositories and #1,836 across all languages on GitHubRepo.
Trending Record
2
DAYS ON TRENDING
#2661
BEST RANK
Sep 30, 2026
FIRST APPEARANCE
Active
STATUS TODAY
skills has maintained a continuous presence across global trending indexes, peaking at #2661. Below is the 30-day activity profile:
💡 Overview
skills is an open-source project written in Python: Agent Skills for NVIDIA products — install into Claude Code, Codex, and other coding agents to run Physical AI, robotics, simulation, CUDA, and RAG workflows end to end.
Engineered for speed, consistency, and developer ease, it solves common hurdles in agent-skills, agentic-ai, ai-agents. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.
⚡ Key Features
Optimized execution pipeline written in Python for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
📥 Installation
$ pip install skills⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
skills coordinates its core functionality through a modular Python pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.
🎯 Production Use Cases
Autonomous AI Agents
Orchestrate intelligent workflows and tool-calling routines with skills.
Model Inference & Prompting
Integrate fast, local or cloud-hosted generative AI models directly into production code.
Context Memory & RAG
Augment language models with dynamic vector retrieval and structured project memory.
Developer Productivity
Automate repetitive engineering tasks, code generation, and test creation using AI agents.
🚀 Getting Started
Install skills using your package manager: `pip install skills`
Initialize your project workspace or configuration file for skills.
Import skills into your codebase or invoke it directly from your terminal.
Execute your test suite or run `skills --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
NVIDIA/skills is currently ranked #1,836 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
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|---|---|---|---|---|
| #1,831 | HeapsIO/heaps | Haxe | ★ 3.5K | Compare ↗ |
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| #1,835 | common-voice/common-voice | TypeScript | ★ 3.5K | Compare ↗ |
| #1,836 | NVIDIA/skills This Project | Python | ★ 3.5K | |
| #1,837 | PennyLaneAI/pennylane | Python | ★ 3.5K | Compare ↗ |
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Frequently Asked Questions
What does skills do? +
Agent Skills for NVIDIA products — install into Claude Code, Codex, and other coding agents to run Physical AI, robotics, simulation, CUDA, and RAG workflows end to end.
What language is skills written in? +
The primary language is Python. Topics include: agent-skills, agentic-ai, ai-agents, claude-code, codex.
Is skills actively maintained? +
Yes, the last recorded push was on Sep 30, 2026 with 18 open issues being tracked.
How many stars does skills have? +
skills has 3,481 stars and 422 forks on GitHub.
How does skills rank among GitHub repositories? +
With 3,481 stars, NVIDIA/skills is ranked #1,836 globally across all repositories tracked on GitHubRepo and #281 among Python projects.
What license is skills distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.
