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Agent skill

Cv Deploy

by LMIXR in LMIXR/CV_Deployment_skill

基于 helpfile 工程经验，协助 agent 配置 CV 主机和边缘设备环境、编译视觉与推理依赖、接入摄像头视频并打包部署服务。适用于 Ubuntu、CentOS、Windows、macOS、Jetson、树莓派和 RK3399 的 CV 工程实施与故障排查，以及相关移动端配套工具；模型训练和纯算法设计不属于本技能主线。

No licenceAuto-check passedAI & LLM Engineering

Install Cv Deploy

skills CLI
$ npx skills add LMIXR/CV_Deployment_skill --skill cv-deploy -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install LMIXR/CV_Deployment_skill cv-deploy --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/LMIXR/CV_Deployment_skill.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/cv-deploy .claude/skills/cv-deploy && rm -rf skills-src

Use ~/.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/

Facts

Skill name
cv-deploy
GitHub stars
170
Token cost
~547 tokens
SKILL.md length
99 words
Files
9 (incl. references)
Skills in repo
1
Repo updated
First seen
Licence
None found

At a glance

基于 helpfile 工程经验，协助 agent 配置 CV 主机和边缘设备环境、编译视觉与推理依赖、接入摄像头视频并打包部署服务。适用于 Ubuntu、CentOS、Windows、macOS、Jetson、树莓派和 RK3399 的 CV 工程实施与故障排查，以及相关移动端配套工具；模型训练和纯算法设计不属于本技能主线。

  • Works in 5 steps: 复用已有约束。… → 以环境匹配经验。 比较操作系统、架构、编译器 /… → 按依赖顺序推进。 环境 → 底层库 → 视觉 / 推理库 → 应用 → 打包 /… → …
  • Tasks that involve GPU and accelerator computing
  • SKILL.md covers 先判断任务落在哪一层, 形成当前环境画像, 选择与执行 and 使用历史资料, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Cv Deploy is an agent skill from LMIXR/CV_Deployment_skill. 基于 helpfile 工程经验，协助 agent 配置 CV 主机和边缘设备环境、编译视觉与推理依赖、接入摄像头视频并打包部署服务。适用于 Ubuntu、CentOS、Windows、macOS、Jetson、树莓派和 RK3399 的 CV 工程实施与故障排查，以及相关移动端配套工具；模型训练和纯算法设计不属于本技能主线。

Its SKILL.md is about 550 tokens, which your agent loads only when the skill is triggered. The skill folder holds 10 other files, including reference files (for example `agents/openai.yaml`, `references/build.md` and `references/deployment.md`).

It sits in AI & LLM Engineering, covering GPU and accelerator computing and Deployment. It works with NVIDIA AI Platform, macOS and CUDA. The repository describes itself as: Computer vision deployment resources and engineering workflow configuration.

When your agent uses it

  • Tasks that involve GPU and accelerator computing
  • Tasks that involve Deployment

Example prompts

  • “/cv-deploy”

Requirements

  • Python 3
  • Docker

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. 复用已有约束。 先满足项目锁定版本、构建方式和现有部署接口。说明需要新增或调整的具体组件。
  2. 以环境匹配经验。 比较操作系统、架构、编译器 / ABI、框架与硬件版本。原笔记中的 CUDA 10.x、Qt 5.x、FFmpeg 3.x / 4.x 等是历史记录，不是默认推荐版本。
  3. 按依赖顺序推进。 环境 → 底层库 → 视觉 / 推理库 → 应用 → 打包 / 服务。已有且满足条件的环节直接复用。
  4. 参数化本机差异。 用目标项目的路径、端口、服务名、设备和版本生成命令。源码、构建目录、安装前缀分开；并行编译数量按可用内存和已有任务决定。
  5. 围绕首个有效错误修复。 区分下载、配置、编译、链接、加载、协议、服务环境问题。修复有证据支持的一处原因后继续；同一失败未出现新证据时不要反复重装或扩大系统改动。

What it can do on your machine

Read from SKILL.md and the folder at commit 0c35fc3. 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

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    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

Cv Deploy loads about 547 tokens when it runs, and up to ~14k if it reads all its reference files. Until then it costs about 44 tokens; SKILL.md has 99 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~44
When it runs · the whole SKILL.md, loaded when a task matches
~547
With references · SKILL.md plus every file in references/, read only if the agent opens them
~14k

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); files beside SKILL.md are not scanned.

SKILL.md

Without a licence we can't republish the file, so here is its outline and opening line. It has 99 words (~547 tokens).

name
cv-deploy

Read the full SKILL.md on GitHub

Files

SKILL.md and 8 other files (references) in .agents/skills/cv-deploy of LMIXR/CV_Deployment_skill.

  • SKILL.md
  • agents/openai.yaml
  • references/build.md
  • references/deployment.md
  • references/platforms.md
  • references/services.md
  • references/source-index.md
  • references/tools.md
  • references/video.md

Open the folder on GitHubat commit 0c35fc3

Compare with similar skills

Cv Deploy 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.

Cv Deploy compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Cv Deploy this skillLMIXR/CV_Deployment_skill170—~547Automated safety check: PassNone
Dynamo Interconnect CheckNVIDIA/skills3.5k1 repos~1.6kAutomated safety check: PassApache-2.0
Graphsignalgraphsignal/graphsignal257—~6.2kAutomated safety check: PassApache-2.0
LLM Torch Profiler Trace AnalysisBBuf/AI-Infra-Auto-Driven-SKILLS925—~2.8kAutomated safety check: PassNone
Megatron-LM on SLURMNVIDIA/Megatron-LM18k—~1.8kAutomated safety check: PassApache-2.0
Triton SkillslowlyC/agent-gpu-skills169—~1.3kAutomated safety check: PassMIT

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Works with

Categories

Questions about Cv Deploy

What does Cv Deploy do?

基于 helpfile 工程经验，协助 agent 配置 CV 主机和边缘设备环境、编译视觉与推理依赖、接入摄像头视频并打包部署服务。适用于 Ubuntu、CentOS、Windows、macOS、Jetson、树莓派和 RK3399 的 CV 工程实施与故障排查，以及相关移动端配套工具；模型训练和纯算法设计不属于本技能主线。. Cv Deploy is an agent skill from LMIXR/CV_Deployment_skill.

When should I use Cv Deploy?

Cv Deploy fits situations like: tasks that involve GPU and accelerator computing; tasks that involve Deployment.

How do I install Cv Deploy in Claude Code?

Run `npx skills add LMIXR/CV_Deployment_skill --skill cv-deploy -a claude-code`. Or copy the skill folder (.agents/skills/cv-deploy in LMIXR/CV_Deployment_skill) into .claude/skills/cv-deploy in your project. Claude Code loads it when a task matches its description.

How do I install Cv Deploy in Codex?

Run `npx skills add LMIXR/CV_Deployment_skill --skill cv-deploy -a codex`. Or copy the skill folder (.agents/skills/cv-deploy in LMIXR/CV_Deployment_skill) into .agents/skills/cv-deploy in your project. Codex loads it when a task matches its description.

Can I use Cv Deploy 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 LMIXR/CV_Deployment_skill --skill cv-deploy -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/cv-deploy, .gemini/skills/cv-deploy, .github/skills/cv-deploy and .opencode/skills/cv-deploy in your project.

What does Cv Deploy need to run?

SKILL.md names no scripts, command-line tools or credentials: Cv Deploy is instructions for the agent only. Our summary lists: Python 3; Docker.

Does Cv Deploy access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Cv Deploy 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. Review the folder before installing.

What licence does Cv Deploy use?

No licence was found for Cv Deploy or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Cv Deploy use?

About 547 tokens (SKILL.md is roughly 2.2k 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.

What are the alternatives to Cv Deploy?

Skills that share tags, products or a category with Cv Deploy: Dynamo Interconnect Check (NVIDIA/skills, 3.5k stars), Graphsignal (graphsignal/graphsignal, 257 stars), LLM Torch Profiler Trace Analysis (BBuf/AI-Infra-Auto-Driven-SKILLS, 925 stars) and Megatron-LM on SLURM (NVIDIA/Megatron-LM, 18k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Cv Deploy?

LMIXR (a GitHub user) maintains it in LMIXR/CV_Deployment_skill, which has 170 GitHub stars. The repository was last updated on September 29, 2026.

Source: LMIXR/CV_Deployment_skill on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.