Agent skill · DevOps & Cloud

vss-setup-behavior-analytics

Use to deploy the vss-behavior-analytics service standalone (entrypoint, config-source, optional calibration). Not for the full warehouse deploy.

NVIDIA-AI-Blueprintsgithub.com/NVIDIA-AI-BlueprintsGitHub ↗
claude-codeNOASSERTION
Install
npx skills add NVIDIA-AI-Blueprints/video-search-and-summarization --skill vss-setup-behavior-analytics --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 11
SKILL.md size: 8 KB
Bundled scripts: none
Version: 3.2.0
Declared author: NVIDIA Video Search and Summarization team
Path: skills/vss-setup-behavior-analytics/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 1,773 · +19 this week
Language: C++
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

## Purpose Deploy the behavior-analytics service standalone with the user's chosen entrypoint, config, and calibration. ## Instructions Follow the routing tables and step-by-step workflows below. Each section that ends in *workflow*, *quick start*, or *flow* is intended to be executed top-to-bottom. Detailed reference material lives in `references/`. ## Examples Worked end-to-end examples are kept under `evals/` (each `*.json` manifest contains a runnable scenario). Run a Tier-3 evaluation to replay them: ```bash nv-base validate skills/vss-setup-behavior-analytics --agent-eval ``` A minimal standalone bring-up looks like: ```bash cd $REPO/deploy/docker export VSS_APPS_DIR=$(pwd) docker compose -f services/analytics/behavior-analytics/compose.yml up -d vss-behavior-analytics-base ``` Follow `references/deploy-behavior-analytics-service.md` for the full workflow (entrypoint pick, config source, dynamic updates). ## Limitations - Requires the matching VSS profile / microservice to be deployed and reachable from the caller. - NGC-hosted models and NIMs may be subject to rate-limits, GPU memory requirements, and license restrictions. - Concurrency, GPU memory, and storage limits depend

What's inside
Steps it walks through
  1. Purpose
  2. Instructions
  3. Examples
  4. Limitations
  5. Troubleshooting
  6. When to use
  7. Prerequisites
  8. Workflow
  9. Dynamic updates (runtime, no restart)
  10. Dynamic config
  11. Dynamic calibration
  12. Routing rules
Ships with 10 files
  • BENCHMARK.md
  • evals/evals.json
  • evals/standalone_deploy.json
  • references/configuration.md
  • references/deploy-behavior-analytics-service.md
  • references/dynamic-calibration.md
  • references/dynamic-config.md
  • references/ngc-api-key-registry-login.md
  • skill-card.md
  • skill.oms.sig
Commands it runs
nv-base validate skills/vss-setup-behavior-analytics --agent-eval
cd $REPO/deploy/docker
export VSS_APPS_DIR=$(pwd)
docker compose -f services/analytics/behavior-analytics/compose.yml up -d vss-behavior-analytics-base
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About this skill
What does the vss-setup-behavior-analytics skill do?

Use to deploy the vss-behavior-analytics service standalone (entrypoint, config-source, optional calibration). Not for the full warehouse deploy.

How do I install it?

Run `npx skills add NVIDIA-AI-Blueprints/video-search-and-summarization --skill vss-setup-behavior-analytics --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From NVIDIA-AI-Blueprints/video-search-and-summarization, a repository with 1,773 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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