DeepStream Development

DeepStream Development is an AI Engineering skill for Claude Code, published by NVIDIA in skills.

3K stars345 forkson NVIDIA/skillsAdded 2026/08/17+3% in starsRepository updated 2026/08/17

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Install in seconds

Install DeepStream Development

Copy DeepStream Development into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/NVIDIA/skills/tree/main/skills/deepstream-dev ~/.claude/skills/deepstream-dev

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/NVIDIA/skills.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: skills/deepstream-dev/SKILL.md in NVIDIA/skills
Installs to: ~/.claude/skills/deepstream-dev
Collection: One of 25 skills cataloged from this repository
Category: AI Engineering — 2451 skills

What DeepStream Development does

DeepStream Development builds NVIDIA DeepStream SDK pipelines using the Python pyservicemaker API for video analytics, including object detection, tracking, and TensorRT inference. Use when creating GStreamer-based video processing, integrating inference models, or adding Kafka/message broker support.

DeepStream Development is cataloged under AI Engineering on DirSkills. DeepStream Development comes from a repository tagged agent-skills, agentic-ai, ai-agents, claude-code and codex.

Documentation

README

Excerpt

DeepStream Development Skill

When this skill is active, ALWAYS read the relevant reference documents before generating code. Do NOT rely on memory - the reference documents contain critical details about exact property names, correct API usage, and common pitfalls.

SDK and Architecture Quick Reference

DeepStream SDK Version Requirements

GStreamer: 1.24.2
NVIDIA Driver: 590+
CUDA: 13.1
TensorRT: 10.14.1.48
Platforms: Ubuntu 24.04 (x86_64 and ARM64/Jetson)

Typical Pipeline Flow

Source → Stream Muxer → Inference → [Tracker] → OSD → Renderer

Components in [brackets] are optional -- only add them when the user explicitly requests them.

This is the opening of the README. Read the full README on GitHub.

Frequently asked about DeepStream Development

What else does NVIDIA publish alongside DeepStream Development?
DeepStream Development is one of 25 skills that DirSkills catalogs from NVIDIA/skills, the repository it ships in. Its siblings there include AIQ Deploy, AIQ Research and AMC RTSP Calibration. Each one is a separate skill with its own page in this directory, installs the same way DeepStream Development does, and is maintained by NVIDIA in that same repository. The rest of the collection is listed on the NVIDIA/skills page.
How does DeepStream Development compare to other AI Engineering skills?
DeepStream Development ranks #676 by stars among the 2451 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of DeepStream Development against them. Open each page to compare what they document and how they install.