Sentry Architecture Variants
jeremylongshore/tons-of-skills-marketplace
Configure Sentry error tracking and performance monitoring for different application architectures.
Scaffold a standalone RTVI CV microservice that plugs into VSS Search and Alerts profiles via Kafka mdx-raw.
Install Rtvi Cv Scaffold Vss Service
$ npx skills add NVIDIA/skills --skill rtvi-cv-scaffold-vss-service -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install NVIDIA/skills rtvi-cv-scaffold-vss-service --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/rtvi-cv-scaffold-vss-service .claude/skills/rtvi-cv-scaffold-vss-service && 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 "rtvi-cv-scaffold-vss-service" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/rtvi-cv-scaffold-vss-service into .claude/skills/rtvi-cv-scaffold-vss-service/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "rtvi-cv-scaffold-vss-service", 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/rtvi-cv-scaffold-vss-serviceType 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 rtvi-cv-scaffold-vss-service -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install NVIDIA/skills rtvi-cv-scaffold-vss-service --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/rtvi-cv-scaffold-vss-service .agents/skills/rtvi-cv-scaffold-vss-service && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "rtvi-cv-scaffold-vss-service" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/rtvi-cv-scaffold-vss-service into .agents/skills/rtvi-cv-scaffold-vss-service/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "rtvi-cv-scaffold-vss-service", 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 rtvi-cv-scaffold-vss-service -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install NVIDIA/skills rtvi-cv-scaffold-vss-service --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/rtvi-cv-scaffold-vss-service .cursor/skills/rtvi-cv-scaffold-vss-service && 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 "rtvi-cv-scaffold-vss-service" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/rtvi-cv-scaffold-vss-service into .cursor/skills/rtvi-cv-scaffold-vss-service/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "rtvi-cv-scaffold-vss-service", 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/rtvi-cv-scaffold-vss-service--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 rtvi-cv-scaffold-vss-service -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install NVIDIA/skills rtvi-cv-scaffold-vss-service --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/rtvi-cv-scaffold-vss-service .gemini/skills/rtvi-cv-scaffold-vss-service && 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 "rtvi-cv-scaffold-vss-service" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/rtvi-cv-scaffold-vss-service into .gemini/skills/rtvi-cv-scaffold-vss-service/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "rtvi-cv-scaffold-vss-service", 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 rtvi-cv-scaffold-vss-serviceInstalls 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 rtvi-cv-scaffold-vss-service -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/rtvi-cv-scaffold-vss-service .github/skills/rtvi-cv-scaffold-vss-service && 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 "rtvi-cv-scaffold-vss-service" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/rtvi-cv-scaffold-vss-service into .github/skills/rtvi-cv-scaffold-vss-service/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "rtvi-cv-scaffold-vss-service", 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 rtvi-cv-scaffold-vss-service -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 rtvi-cv-scaffold-vss-service --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/rtvi-cv-scaffold-vss-service .opencode/skills/rtvi-cv-scaffold-vss-service && 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 "rtvi-cv-scaffold-vss-service" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/rtvi-cv-scaffold-vss-service into .opencode/skills/rtvi-cv-scaffold-vss-service/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "rtvi-cv-scaffold-vss-service", 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.
Facts
- Skill name
rtvi-cv-scaffold-vss-service- GitHub stars
- 3.6k
- Token cost
- ~4.5k tokens
- SKILL.md length
- 1,572 words
- Files
- 11 (incl. scripts, references)
- Skills in repo
- 390
- Repo updated
- First seen
- Licence
- Proprietary
At a glance
Scaffold a standalone RTVI CV microservice that plugs into VSS Search and Alerts profiles via Kafka mdx-raw.
- Works in 3 steps: runs a DeepStream pipeline with YOLO26… → converts detection metadata to the VSS… → drops into the existing VSS compose…
- Building a new perception microservice repo
- SKILL.md covers Scope boundaries, When to use, Instructions and Examples, plus 8 more sections
- Runs Python scripts from its folder; calls python3 and docker; reaches docs.nvidia.com
What it does
Rtvi Cv Scaffold Vss Service is an agent skill from NVIDIA/skills, published by the product's own GitHub organization. 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…
Its SKILL.md is about 4.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 14 other files, including scripts and reference files (for example `BENCHMARK.md`, `agents/openai.yaml` and `evals/evals.json`).
It sits in Backend & APIs, covering Project scaffolding, Microservices and Markdown. It works with NVIDIA AI Platform, ONNX and Apache Kafka. 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.
When your agent uses it
- Building a new perception microservice repo
- Validating the VSS integration contract
- Extending that scaffold for segmentation frame-mask payloads
- Scaffolding with placeholders before customer YOLO26 assets exist
Example prompts
- “/rtvi-cv-scaffold-vss-service”
Requirements
- Python 3
- Docker
Workflow steps
3 steps, taken from the first numbered list in SKILL.md.
- runs a DeepStream pipeline with YOLO26 primary inference + tracker,
- converts detection metadata to the VSS protobuf schema and publishes it
- drops into the existing VSS compose stack via the
What it can do on your machine
Read from SKILL.md and the folder at commit 14a98ae. It shows what the files ask for, not the result of running them.
Tool permissions
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.
Runs code
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python3docker
From the folder's file list and the shell code blocks in SKILL.md.
Network
Hosts in commands or code, which the agent is likely to contact:
docs.nvidia.com
Also links to:
github.com
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Rtvi Cv Scaffold Vss Service loads about 4.5k tokens when it runs, and up to ~11k if it reads all its reference files. Until then it costs about 170 tokens; SKILL.md has 1,572 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.
Safety
Auto-check passed
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); the scripts in this folder are not scanned.
SKILL.md
Its licence (Proprietary) doesn't allow us to republish the file, so here is its outline and opening line. It has 1,572 words (~4,543 tokens).
“Scaffolds a deployable custom perception microservice that:”
- name
- rtvi-cv-scaffold-vss-service
- metadata.author
- NVIDIA CORPORATION <info@nvidia.com>
- metadata.tags
- rtvi-cv, vss, deepstream, yolo26, kafka, perception, custom-microservice, segmentation, frame-mask
- metadata.languages
- python, bash
- metadata.domain
- accelerated-microservices
- metadata.team
- team-mind-hub
- metadata.owner
- merylm
- metadata.service
- rtvi-cv
- metadata.version
- 2.0.0
- metadata.reviewed
- 2026-05-07
- metadata.compatibility
- Scaffolding requires Python 3.10+. The generated microservice runs on a Linux host with NVIDIA GPU, Docker with the NVIDIA container runtime, and DeepStream…
Files
SKILL.md and 10 other files (scripts, references) in skills/rtvi-cv-scaffold-vss-service of NVIDIA/skills.
- SKILL.md
- BENCHMARK.md
- agents/openai.yaml
- evals/evals.json
- nvbase.json
- references/integration-contract.md
- references/vss-profile-integration.md
- references/yolo26-deepstream.md
- scripts/scaffold_rtvi_vss_service.py
- skill-card.md
- skill.oms.sig
Open the folder on GitHubat commit 14a98ae
Compare with similar skills
Rtvi Cv Scaffold Vss Service 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 |
|---|---|---|---|---|---|---|
| Rtvi Cv Scaffold Vss Service this skillNVIDIA/skills | 3.6k | — | ~4.5k | Automated safety check: Pass | Proprietary | |
| Sentry Architecture Variantsjeremylongshore/tons-of-skills-marketplace | 2.8k | — | ~4.1k | Automated safety check: Pass | MIT | |
| Spring Boot Saga Patterngiuseppe-trisciuoglio/developer-kit | 357 | — | ~2.5k | Automated safety check: Notes | MIT | |
| Scaffolding Fastapi Dapraiskillstore/marketplace | 433 | — | ~2.2k | Automated safety check: Pass | None | |
| Vss Deploy Detection Tracking 3DNVIDIA-AI-Blueprints/video-search-and-summarization | 1.9k | — | ~5.1k | Automated safety check: Notes | Apache-2.0 | |
| Opensourcefaqdigoal/blog | 8.6k | — | ~966 | Automated safety check: Pass | GPL-2.0 |
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Related
Works with
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Questions about Rtvi Cv Scaffold Vss Service
What does Rtvi Cv Scaffold Vss Service do?
Scaffold a standalone RTVI CV microservice that plugs into VSS Search and Alerts profiles via Kafka mdx-raw. Rtvi Cv Scaffold Vss Service is an agent skill from NVIDIA/skills, published by the product's own GitHub organization. Scaffold a standalone RTVI CV microservice that plugs into VSS Search and Alerts profiles via Kafka mdx-raw.
When should I use Rtvi Cv Scaffold Vss Service?
Rtvi Cv Scaffold Vss Service fits situations like: building a new perception microservice repo; validating the VSS integration contract; extending that scaffold for segmentation frame-mask payloads; scaffolding with placeholders before customer YOLO26 assets exist.
How do I install Rtvi Cv Scaffold Vss Service in Claude Code?
Run `npx skills add NVIDIA/skills --skill rtvi-cv-scaffold-vss-service -a claude-code`. Or copy the skill folder (skills/rtvi-cv-scaffold-vss-service in NVIDIA/skills) into .claude/skills/rtvi-cv-scaffold-vss-service in your project. Claude Code loads it when a task matches its description.
How do I install Rtvi Cv Scaffold Vss Service in Codex?
Run `npx skills add NVIDIA/skills --skill rtvi-cv-scaffold-vss-service -a codex`. Or copy the skill folder (skills/rtvi-cv-scaffold-vss-service in NVIDIA/skills) into .agents/skills/rtvi-cv-scaffold-vss-service in your project. Codex loads it when a task matches its description.
Can I use Rtvi Cv Scaffold Vss Service in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add NVIDIA/skills --skill rtvi-cv-scaffold-vss-service -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/rtvi-cv-scaffold-vss-service, .gemini/skills/rtvi-cv-scaffold-vss-service, .github/skills/rtvi-cv-scaffold-vss-service and .opencode/skills/rtvi-cv-scaffold-vss-service in your project.
What does Rtvi Cv Scaffold Vss Service need to run?
Going by SKILL.md and its folder, Rtvi Cv Scaffold Vss Service needs Python for the scripts in its folder and the command-line tools its instructions call (python3 and docker). Our summary lists: Python 3; Docker.
Does Rtvi Cv Scaffold Vss Service access the network?
SKILL.md names 2 domains. In commands or code: docs.nvidia.com; the agent is likely to contact it when it follows the instructions. As links in the text: github.com. This is read from the text; nothing was executed.
Is Rtvi Cv Scaffold Vss Service safe to install?
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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Rtvi Cv Scaffold Vss Service use?
Rtvi Cv Scaffold Vss Service carries a proprietary licence (declared in SKILL.md). It is published on GitHub, but it is not open source: read the licence file before using or sharing it.
How many tokens does Rtvi Cv Scaffold Vss Service use?
About 4.5k tokens (SKILL.md is roughly 18k 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 6.9k tokens, read only when the agent opens those files.
What are the alternatives to Rtvi Cv Scaffold Vss Service?
Skills that share tags, products or a category with Rtvi Cv Scaffold Vss Service: Sentry Architecture Variants (jeremylongshore/tons-of-skills-marketplace, 2.8k stars), Spring Boot Saga Pattern (giuseppe-trisciuoglio/developer-kit, 357 stars), Scaffolding Fastapi Dapr (aiskillstore/marketplace, 433 stars) and Vss Deploy Detection Tracking 3D (NVIDIA-AI-Blueprints/video-search-and-summarization, 1.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Rtvi Cv Scaffold Vss Service?
NVIDIA (a GitHub organization, an official publisher) maintains it in NVIDIA/skills, which has 3,555 GitHub stars. The repository holds 390 skills in this directory. The repository was last updated on October 9, 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.