Wp Performance Review
elvismdev/claude-wordpress-skills
WordPress performance code review and optimization analysis.
A skill your agent uses to deploy the vss-behavior-analytics service standalone (entrypoint, config-source, optional calibration).
$ npx skills add NVIDIA/skills --skill vss-setup-behavior-analytics -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install NVIDIA/skills vss-setup-behavior-analytics --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/NVIDIA/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/vss-setup-behavior-analytics .claude/skills/vss-setup-behavior-analytics && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "vss-setup-behavior-analytics" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/vss-setup-behavior-analytics into .claude/skills/vss-setup-behavior-analytics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vss-setup-behavior-analytics", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/NVIDIA/skills/tree/main/skills/vss-setup-behavior-analyticsType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add NVIDIA/skills --skill vss-setup-behavior-analytics -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install NVIDIA/skills vss-setup-behavior-analytics --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NVIDIA/skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/vss-setup-behavior-analytics .agents/skills/vss-setup-behavior-analytics && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "vss-setup-behavior-analytics" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/vss-setup-behavior-analytics into .agents/skills/vss-setup-behavior-analytics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vss-setup-behavior-analytics", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add NVIDIA/skills --skill vss-setup-behavior-analytics -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install NVIDIA/skills vss-setup-behavior-analytics --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NVIDIA/skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/vss-setup-behavior-analytics .cursor/skills/vss-setup-behavior-analytics && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "vss-setup-behavior-analytics" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/vss-setup-behavior-analytics into .cursor/skills/vss-setup-behavior-analytics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vss-setup-behavior-analytics", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/NVIDIA/skills.git --path skills/vss-setup-behavior-analytics--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add NVIDIA/skills --skill vss-setup-behavior-analytics -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install NVIDIA/skills vss-setup-behavior-analytics --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NVIDIA/skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/vss-setup-behavior-analytics .gemini/skills/vss-setup-behavior-analytics && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "vss-setup-behavior-analytics" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/vss-setup-behavior-analytics into .gemini/skills/vss-setup-behavior-analytics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vss-setup-behavior-analytics", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install NVIDIA/skills vss-setup-behavior-analyticsInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add NVIDIA/skills --skill vss-setup-behavior-analytics -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/NVIDIA/skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/vss-setup-behavior-analytics .github/skills/vss-setup-behavior-analytics && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "vss-setup-behavior-analytics" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/vss-setup-behavior-analytics into .github/skills/vss-setup-behavior-analytics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vss-setup-behavior-analytics", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add NVIDIA/skills --skill vss-setup-behavior-analytics -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install NVIDIA/skills vss-setup-behavior-analytics --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NVIDIA/skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/vss-setup-behavior-analytics .opencode/skills/vss-setup-behavior-analytics && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "vss-setup-behavior-analytics" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/vss-setup-behavior-analytics into .opencode/skills/vss-setup-behavior-analytics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vss-setup-behavior-analytics", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
vss-setup-behavior-analyticsA skill your agent uses to deploy the vss-behavior-analytics service standalone (entrypoint, config-source, optional calibration).
Vss Setup Behavior Analytics is an agent skill from NVIDIA/skills, published by the product's own GitHub organization. Use to deploy the vss-behavior-analytics service standalone (entrypoint, config-source, optional calibration). Not for the full warehouse deploy.
Its SKILL.md is about 2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 12 other files, including reference files (for example `BENCHMARK.md`, `evals/evals.json` and `evals/standalone_deploy.json`).
It sits in Business, Finance & HR, covering Performance reviews. The repository describes itself as: Agent Skills for NVIDIA products — install into Claude Code, Codex, and other coding agents to run Physical AI, robotics, simulation, CUDA, and RAG workflows end to end. The licence is Apache-2.0.
5 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 0e0d506. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
dockerFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use docker, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
NGC_CLI_API_KEYFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Vss Setup Behavior Analytics loads about 2k tokens when it runs, and up to ~16k if it reads all its reference files. Until then it costs about 44 tokens; SKILL.md has 844 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from NVIDIA/skills at commit 0e0d506, republished under its Apache-2.0 licence (© NVIDIA). 844 words, ~1,960 tokens.
.claude/skills/vss-setup-behavior-analytics/SKILL.md (or your agent's skills folder). This skill also uses 10 other files; get the full folder from GitHub.Deploy the behavior-analytics service standalone with the user's chosen entrypoint, config, and calibration.
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/.
Worked end-to-end examples are kept under evals/ (each *.json manifest
contains a runnable scenario). Run a Tier-3 evaluation to replay them:
nv-base validate skills/vss-setup-behavior-analytics --agent-evalA minimal standalone bring-up looks like:
cd $REPO/deploy/docker
export VSS_APPS_DIR=$(pwd)
docker compose -f services/analytics/behavior-analytics/compose.yml up -d vss-behavior-analytics-baseFollow references/deploy-behavior-analytics-service.md for the full
workflow (entrypoint pick, config source, dynamic updates).
/docs or /health; redeploy via vss-deploy-profile or the matching vss-deploy-* skill.NGC_CLI_API_KEY. Solution: docker login nvcr.io and re-export the key before retrying.docker compose down.Deploy just the vss-behavior-analytics container (the spatial-AI analytics pipeline from the upstream behavior-analytics repo), not as part of the full warehouse blueprint stack.
The full operational walkthrough — entrypoint table, config-source options, calibration types, dynamic-update wire contract, troubleshooting — is references/deploy-behavior-analytics-service.md. This SKILL.md only handles routing and prerequisites.
$VSS_APPS_DIR pointing at <repo>/deploy/docker/. Required by the service compose's volume binds.$NGC_CLI_API_KEY set so docker can pull the image. See references/ngc-api-key-registry-login.md.docker --version and docker compose version.restart: always cycles the container. Status will show Restarting (N) in docker ps until a broker is reachable. With a broker, dynamic config / dynamic calibration over mdx-notification become available.If any required prerequisite fails, surface the gap before going further.
Hand the user references/deploy-behavior-analytics-service.md and walk them through its steps in order:
The compose-file edits, YAML diffs, deploy + verify commands, and troubleshooting table all live in that reference — don't duplicate them here.
Once the container is up and a broker is reachable, two runtime-update flows are available — neither requires redeploying:
Publish an upsert (per-key patch) or upsert-all (full snapshot) message to the mdx-notification topic with Kafka key behavior-analytics-config and headers:
event.type: upsert | upsert-all | request-config | ackreference-id: video-analytics-api-<uuid> (web-api originated), behavior-analytics-<uuid> (bootstrap reply), or the source-type literal (kafka / redis / mqtt) for direct-publisher upserts.Body: {"status": ..., "config": <patch>, "error": ...}.
The listener validates each message at the envelope layer (rejects unknown keys, missing config, malformed status/error) and at the per-payload layer (rejects forbidden sections, bad item shapes). Successful upserts are persisted to disk, applied to every worker, and ACK'd back over the topic.
Full wire contract + ack semantics: references/dynamic-config.md.
Publish to the same topic with Kafka key calibration and headers:
event.type: upsert-all (full snapshot) | upsert (per-sensor merge) | delete (per-sensor removal)timestamp: ISO-8601 UTC (YYYY-MM-DDTHH:MM:SS.fffZ).Body: JSON sensor list (and ROIs / tripwires / homographies for upsert-all).
The listener validates against the vendored AJV schema before persisting. Schema violations log a calibration schema violation warning and are dropped — the previously-good calibration stays loaded.
Full wire contract + per-action validation policy: references/dynamic-calibration.md.
Both flows live entirely on the broker — the producer can be video-analytics-api, your own script, or any Kafka client that mirrors the wire shape. They're the recommended way to change configuration after the container is running, so the operator doesn't have to redeploy.
vss-deploy-profile with profile warehouse (or alerts). Don't run this skill in parallel.references/configuration.md, references/dynamic-config.md, or references/dynamic-calibration.md before editing the JSON.bump:1
© NVIDIA, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 10 other files (references) in skills/vss-setup-behavior-analytics of NVIDIA/skills.
Open the folder on GitHubat commit 0e0d506
Vss Setup Behavior Analytics next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Vss Setup Behavior Analytics this skillNVIDIA/skills | 3.5k | — | ~2k | Automated safety check: Pass | Apache-2.0 | |
| Wp Performance Reviewelvismdev/claude-wordpress-skills | 234 | 1 repos | ~4.5k | Automated safety check: Pass | MIT | |
| Align Humanagentscope-ai/OpenJudge | 867 | — | ~3.1k | Automated safety check: Pass | Apache-2.0 | |
| Performance ReportAffitor/affiliate-skills | 698 | 1 repos | ~2.5k | Automated safety check: Pass | MIT | |
| Run Mv Hoi Reconstructionnvidia-isaac/video_to_data | 847 | — | ~1.5k | Automated safety check: Pass | Custom licence | |
| Company Analysiszhu1090093659/dsh-trading | 230 | — | ~4.2k | Automated safety check: Pass | Custom licence |
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nvidia-isaac/video_to_data
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Categories
A skill your agent uses to deploy the vss-behavior-analytics service standalone (entrypoint, config-source, optional calibration). Vss Setup Behavior Analytics is an agent skill from NVIDIA/skills, published by the product's own GitHub organization. Use to deploy the vss-behavior-analytics service standalone (entrypoint, config-source, optional calibration).
Vss Setup Behavior Analytics fits situations like: deploy the vss-behavior-analytics service standalone (entrypoint; optional calibration).
Run `npx skills add NVIDIA/skills --skill vss-setup-behavior-analytics -a claude-code`. Or copy the skill folder (skills/vss-setup-behavior-analytics in NVIDIA/skills) into .claude/skills/vss-setup-behavior-analytics in your project. Claude Code loads it when a task matches its description.
Run `npx skills add NVIDIA/skills --skill vss-setup-behavior-analytics -a codex`. Or copy the skill folder (skills/vss-setup-behavior-analytics in NVIDIA/skills) into .agents/skills/vss-setup-behavior-analytics in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add NVIDIA/skills --skill vss-setup-behavior-analytics -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/vss-setup-behavior-analytics, .gemini/skills/vss-setup-behavior-analytics, .github/skills/vss-setup-behavior-analytics and .opencode/skills/vss-setup-behavior-analytics in your project.
Going by SKILL.md and its folder, Vss Setup Behavior Analytics needs the command-line tools its instructions call (docker) and credentials named NGC_CLI_API_KEY. Our summary lists: Docker; A credential in NGC_CLI_API_KEY.
SKILL.md contains no URLs. Its commands use docker, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Vss Setup Behavior Analytics is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 2k tokens (SKILL.md is roughly 7.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 14k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Vss Setup Behavior Analytics: Wp Performance Review (elvismdev/claude-wordpress-skills, 234 stars), Align Human (agentscope-ai/OpenJudge, 867 stars), Performance Report (Affitor/affiliate-skills, 698 stars) and Run Mv Hoi Reconstruction (nvidia-isaac/video_to_data, 847 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
NVIDIA (a GitHub organization, an official publisher) maintains it in NVIDIA/skills, which has 3,534 GitHub stars. The repository holds 380 skills in this directory. The repository was last updated on October 7, 2026.
Source: NVIDIA/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.