Individual skill
rtvi-cv-scaffold-vss-service
Scaffold a standalone RTVI CV microservice that plugs into VSS Search and Alerts profiles via Kafka mdx-raw. The shipped scaffold script is a YOLO26 reference implementation (ONNX, labels, custom parser required). Use when building a new perception microservice repo, validating the VSS integration contract, extending that scaffold for segmentation frame-mask payloads, or scaffolding with placeholders before customer YOLO26 assets exist. For swapping the detector in the stock vss-rt-cv container, use rtvi-cv-customize-model instead. Live DeepStream integration cannot run until the customer-supplied ONNX, labels file, and parser library exist.
skills/rtvi-cv-scaffold-vss-service/SKILL.md
Source commit fce3cca4170be75e82c64920654d56ee2811b005
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- Last checked
- Nov 9, 2026
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- 3,917
- Repository last updated
- Nov 9, 2026
- License
- Apache-2.0
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- agent-skills Repository topic
- agentic-ai Repository topic
- ai-agents Repository topic
- claude-code Repository topic
- codex Repository topic
- coding-agents Repository topic
- cuda Repository topic
- developer-tools Repository topic
- llm Repository topic
- omniverse Repository topic
- rtvi-cv Declared skill tag
- vss Declared skill tag
- deepstream Declared skill tag
- yolo26 Declared skill tag
- kafka Declared skill tag
- perception Declared skill tag
- custom-microservice Declared skill tag
- segmentation Declared skill tag
- frame-mask Declared skill tag
- legal Derived category
- devops Derived category
- devops-containers Derived category
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Read excerpt
# Construct RTVI VSS CV Service
Scaffolds a deployable custom perception microservice that:
1. runs a DeepStream pipeline with **YOLO26** primary inference + tracker,
2. converts detection metadata to the VSS protobuf schema and publishes it
to the **`mdx-raw`** Kafka topic, and
3. drops into the existing VSS compose stack via the
`bp_developer_search_2d` and `bp_developer_alerts_2d_cv` profile flags so
the downstream Search Workflow, Alert Verification, and Behavior
Analytics services consume it without further changes.
The scaffolded output is a runnable repo, not a design document.