FreeSkills
Commits, branches and sync with the but CLI
- 361361 downloads
- 198198 likes
- 103103 saves
Works with
- Claude Code
- Codex
- Cursor
- and 3 more
Build a DeepStream video analytics pipeline v1.0.0
Use this resource to build a DeepStream video analytics pipeline with TensorRT inference and messaging
New
- 355 downloads
- 132 likes
- 132 saves
Free
Install with the CLI
In a terminal, from the folder you want:
npx --yes palatekit@latest install video-analytics-pipeline-deepstreamWith 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 loginThe agent checks the references for the API, GStreamer plugins, nvinfer configuration and Kafka before writing code. It follows the memory rules and the SDK version requirements.
Mostly picked by
Updated November 2, 2026
Previews
Details
- Install guides
- Generates with
- Your agent's model
- Licence
- CC-BY-4.0
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What you get
- SKILL.md : architecture, rules and key paths
- references/nvinfer_config.md : inference configuration
- references/kafka_messaging.md : Kafka messaging
Good fit for
- You detect and track objects in video streams
- You send analytics results to Kafka
Not for
Tags
- deepstream
- video
- tensorrt
- gstreamer
- kafka
About
You say
“Build a DeepStream pipeline that detects and tracks vehicles, then publishes to Kafka.”
Skill published by nvidia under the CC-BY-4.0 license, delivered in its original version.
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How to use it
- Install the skill in your agent's skills folder
- Ask your agent to build a DeepStream video analytics pipeline with TensorRT inference and messaging
- Review and adjust the result
Content preview
Files
- BENCHMARK.md4.7 KB
- evals/evals.json12 KB
- LICENSE11.3 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.md13.2 KB
- skill.oms.sig8.3 KB
Origin and licence
Listed unmodified
- Author
- nvidia
- Source
- github.com/nvidia/skills/tree/ca116d60beafe1b4459f0ab790b7b450912c56b0/skills/deepstream-dev
- Licence
- CC-BY-4.0
Notice
« deepstream-dev » (nvidia, CC-BY-4.0) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.
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