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NVIDIA DeepStream pipeline development v1.0.0

Use this resource to write a video analytics pipeline with NVIDIA DeepStream

New

  • 444 downloads
  • 126 likes
  • 152 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install deepstream-pipeline-development

With no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.

First time: connect the CLI with

npx --yes palatekit@latest login

The agent reads the relevant DeepStream references before writing code, then proposes a Python pipeline with its configuration and memory rules. You get code aligned with SDK versions and property names.

Mostly picked by

Updated November 2, 2026

Card for the “NVIDIA DeepStream pipeline development” skill

Details

Works in
Install guides
Generates with
Your agent's model
Licence
CC-BY-4.0

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What you get

  • SKILL.md: architecture, pipeline flow and memory rules
  • references/: nvinfer configuration, GStreamer plugins, Kafka and Docker containers

Good fit for

  • You run video streams through a TensorRT model
  • You send inference results to Kafka

Not for

    Tags

    • deepstream
    • video
    • tensorrt
    • inference

    About

    You say

    “Build a Python DeepStream pipeline that detects vehicles on two RTSP streams.”

    Card for the “NVIDIA DeepStream pipeline development” skill

    Skill published by practicalswan under the CC-BY-4.0 license, delivered in its original version.

    Show more

    How to use it

    1. Install the skill in your agent's skills folder
    2. Ask your agent to write a video analytics pipeline with NVIDIA DeepStream
    3. Review and adjust the result

    Content preview

    Files

    • BENCHMARK.md4.7 KB
    • CHANGELOG.md5.1 KB
    • evals/evals.json12 KB
    • LICENSE1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • references/best_practices.md34.3 KB
    • references/buffer_apis.md55.2 KB
    • references/docker_containers.md9.3 KB
    • references/gstreamer_plugins.md32.2 KB
    • references/kafka_messaging.md60.5 KB
    • references/media_extractor_advanced.md27.9 KB
    • references/metamux_config.md12.2 KB
    • references/nvds_msgapi_adapter.md28.4 KB
    • references/nvinfer_config.md22.9 KB
    • references/rest_api_dynamic.md11.8 KB
    • references/service_maker_api.md63.1 KB
    • references/streaming_sources.md16.5 KB
    • references/tracker_config.md50.7 KB
    • references/troubleshooting.md26.4 KB
    • references/use_cases_pipelines.md36.5 KB
    • references/utilities_config.md46.5 KB
    • skill-card.md5.1 KB
    • SKILL.md15.8 KB
    • skill.oms.sig8.3 KB

    Origin and licence

    Listed unmodified

    Author
    practicalswan
    Source
    github.com/practicalswan/agent-skills/tree/6cf63517700aa9ba0b80e711a93837e3bea13d0a/deepstream-dev
    Licence
    CC-BY-4.0

    Notice

    « deepstream-dev » (practicalswan, CC-BY-4.0) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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