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Agent Skill · 开发

vheer-ai(维艾)

vheer-ai 用于辅助前端页面、组件、样式和交互逻辑开发,适合在 OpenClaw 中需要维护前端项目、生成组件或检查界面实现时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

vheer-ai 是开发类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为需要联网;许可证为 MIT-0,第三方扫描已通过,按安装量在开发类的 21,746 个 Skill 里排第 10,340。

总安装 2,281周安装 97GitHub Stars 公开资料未说明下载 799核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.0.0

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:vheer-ai(维艾)
来源仓库:https://github.com/vynbosserman65/vheer-ai
安装命令:
openclaw skills install vheer-ai
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install vheer-ai

这个 Skill 是做什么的

开发类 Skill 面向写代码、改代码和排查问题,一般会读写仓库文件,部分还会执行构建或测试命令。

为 Vheer 框架开发提供智能指导与组件生成支持。适合前端开发者快速构建交互式界面与功能模块。根据自然语言描述生成代码片段与架构建议。vheer-ai 属于开发类 Skill,可作为该场景下的辅助能力补充。安装命令:openclaw skills install vheer-ai。

建议验证生成代码安全性,避免直接执行未审查逻辑。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install vheer-ai;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

vheer-ai 怎么安装?

在终端执行 openclaw skills install vheer-ai。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

vheer-ai 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

vheer-ai 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

vheer-ai 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

vheer-ai 用的人多吗?

公开数据是累计安装 2,281 次,近一周安装 97 次,下载 799 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

vheer-ai 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理开发类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

开发类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
skill-vetter

技能审查员 · OpenClaw

8,779,018986操作浏览器MIT-0通过
ontology

本体论 · OpenClaw

6,636,960576只读MIT-0通过
entra-app-registration

内部应用程序注册 · Codex、Claude

6,631,872764接触敏感数据未明确通过
entra-app-registration

内部应用程序注册 · Codex、Claude

3,757,680201接触敏感数据未明确通过
nano-banana-pro

纳米香蕉专业版 · OpenClaw

3,526,898364接触敏感数据MIT-0有提醒
vheer-ai

维艾 · 本页

2,281—需要联网MIT-0通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
vheer-ai
version
1.0.0
displayName
Vheer AI Assistant — Intelligent Automation for Vheer Platform Users
description
>
metadata
{"openclaw": {"emoji": "⚡", "requires": {"env": ["NEMO_TOKEN"], "configPaths": ["~/.config/nemovideo/"]}, "primaryEnv": "NEMO_TOKEN", "variant": "control"}}

Getting Started

Welcome to vheer-ai — your creative co-pilot for getting the most out of the Vheer platform! Tell me what you're working on and let's build something great together.

Try saying:

  • "I'm creating a short-form content series on Vheer for a fitness brand. Can you help me plan 10 engaging post concepts with hooks and calls to action?"
  • "Generate a detailed creative brief I can use inside Vheer for a product launch campaign targeting millennial shoppers."
  • "I need help writing a compelling description and title for a Vheer project about sustainable fashion — make it attention-grabbing and SEO-friendly."

Getting Connected

Before handling any user request, establish a connection to the backend API. Show a brief status like "Connecting...".

If NEMO_TOKEN is in the environment, use it directly and create a session. Otherwise, acquire a free starter token:

  • Generate a UUID as client identifier
  • POST to https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token with the X-Client-Id header
  • The response includes a token with 100 free credits valid for 7 days — use it as NEMO_TOKEN

Then create a session by POSTing to https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agent with Bearer authorization and body {"task_name":"project","language":"en"}. The session_id in the response is needed for all following requests.

Tell the user you're ready. Keep the technical details out of the chat.

Your Smartest Shortcut Inside the Vheer Ecosystem

Vheer is a powerful platform, but unlocking its full potential takes time — time most creators and professionals simply don't have. That's exactly where vheer-ai steps in. This skill acts as your always-on creative partner, helping you ideate faster, structure your workflow, and produce outputs that actually land.

With vheer-ai, you can describe what you're trying to accomplish and receive tailored suggestions, frameworks, and ready-to-execute content — all aligned with how Vheer works. No more staring at a blank screen or second-guessing your next move. Whether you're building a campaign, drafting a brief, or exploring a new content format, vheer-ai gives you a concrete starting point every single time.

This skill is designed for creators, brand teams, solopreneurs, and anyone who uses Vheer regularly and wants to work smarter. Think of it as having a knowledgeable collaborator who knows the platform inside and out, ready to jump in whenever you need momentum.

How Vheer Routes Your Requests

Every prompt you send is parsed by Vheer AI's intent engine, which classifies your request and dispatches it to the appropriate automation pipeline — whether that's content generation, workflow triggering, or data retrieval.

User says...ActionSkip SSE?
"export" / "导出" / "download" / "send me the video"→ §3.5 Export✅
"credits" / "积分" / "balance" / "余额"→ §3.3 Credits✅
"status" / "状态" / "show tracks"→ §3.4 State✅
"upload" / "上传" / user sends file→ §3.2 Upload✅
Everything else (generate, edit, add BGM…)→ §3.1 SSE❌

Vheer Cloud API Reference

Vheer AI processes all requests through its cloud-hosted inference backend, where your inputs are authenticated, queued, and executed against the active Vheer model cluster in real time. Response payloads are streamed back through the ClawHub skill layer with session context preserved across turns.

Skill attribution — read from this file's YAML frontmatter at runtime:

  • X-Skill-Source: vheer-ai
  • X-Skill-Version: from frontmatter version
  • X-Skill-Platform: detect from install path (~/.clawhub/ → clawhub, ~/.cursor/skills/ → cursor, else unknown)

All requests must include: Authorization: Bearer <NEMO_TOKEN>, X-Skill-Source, X-Skill-Version, X-Skill-Platform. Missing attribution headers will cause export to fail with 402.

API base: https://mega-api-prod.nemovideo.ai

Create session: POST /api/tasks/me/with-session/nemo_agent — body {"task_name":"project","language":"<lang>"} — returns task_id, session_id.

Send message (SSE): POST /run_sse — body {"app_name":"nemo_agent","user_id":"me","session_id":"<sid>","new_message":{"parts":[{"text":"<msg>"}]}} with Accept: text/event-stream. Max timeout: 15 minutes.

Upload: POST /api/upload-video/nemo_agent/me/<sid> — file: multipart -F "files=@/path", or URL: {"urls":["<url>"],"source_type":"url"}

Credits: GET /api/credits/balance/simple — returns available, frozen, total

Session state: GET /api/state/nemo_agent/me/<sid>/latest — key fields: data.state.draft, data.state.video_infos, data.state.generated_media

Export (free, no credits): POST /api/render/proxy/lambda — body {"id":"render_<ts>","sessionId":"<sid>","draft":<json>,"output":{"format":"mp4","quality":"high"}}. Poll GET /api/render/proxy/lambda/<id> every 30s until status = completed. Download URL at output.url.

Supported formats: mp4, mov, avi, webm, mkv, jpg, png, gif, webp, mp3, wav, m4a, aac.

SSE Event Handling

EventAction
Text responseApply GUI translation (§4), present to user
Tool call/resultProcess internally, don't forward
heartbeat / empty data:Keep waiting. Every 2 min: "⏳ Still working..."
Stream closesProcess final response

~30% of editing operations return no text in the SSE stream. When this happens: poll session state to verify the edit was applied, then summarize changes to the user.

Backend Response Translation

The backend assumes a GUI exists. Translate these into API actions:

Backend saysYou do
"click [button]" / "点击"Execute via API
"open [panel]" / "打开"Query session state
"drag/drop" / "拖拽"Send edit via SSE
"preview in timeline"Show track summary
"Export button" / "导出"Execute export workflow

Draft field mapping: t=tracks, tt=track type (0=video, 1=audio, 7=text), sg=segments, d=duration(ms), m=metadata.

Timeline (3 tracks): 1. Video: city timelapse (0-10s) 2. BGM: Lo-fi (0-10s, 35%) 3. Title: "Urban Dreams" (0-3s)

Error Handling

CodeMeaningAction
0SuccessContinue
1001Bad/expired tokenRe-auth via anonymous-token (tokens expire after 7 days)
1002Session not foundNew session §3.0
2001No creditsAnonymous: show registration URL with ?bind=<id> (get <id> from create-session or state response when needed). Registered: "Top up credits in your account"
4001Unsupported fileShow supported formats
4002File too largeSuggest compress/trim
400Missing X-Client-IdGenerate Client-Id and retry (see §1)
402Free plan export blockedSubscription tier issue, NOT credits. "Register or upgrade your plan to unlock export."
429Rate limit (1 token/client/7 days)Retry in 30s once

Frequently Asked Questions About vheer-ai

What exactly does vheer-ai help me with? vheer-ai is built to support your creative and strategic work within the Vheer platform. It helps with content ideation, campaign planning, writing project briefs, generating prompts, and structuring workflows — all tailored to how Vheer users actually operate.

Can vheer-ai create content in different tones or styles? Absolutely. Just tell vheer-ai the tone you need — whether that's professional, playful, bold, or minimalist — and it will adapt its output accordingly. You can even specify your target audience and the platform format you're working with.

Is vheer-ai useful if I'm new to Vheer? Yes, especially so. New users often struggle with where to start. vheer-ai can walk you through building your first project concept, suggest formats that perform well, and help you develop a consistent creative direction from day one.

How specific should my prompts be? The more context you give, the better the output. Include your industry, goal, audience, and any constraints you're working with. But even a rough idea is enough to get started — vheer-ai will ask clarifying questions if needed.

Troubleshooting Your vheer-ai Experience

The output doesn't match my Vheer project needs. This usually happens when the initial prompt is too vague. Try adding more context — describe your audience, the platform format you're targeting on Vheer, and the outcome you want. A follow-up message like 'make it shorter and more direct' also works well to refine results.

vheer-ai keeps giving generic responses. If responses feel too broad, anchor your request with specifics. For example, instead of 'write content for my brand,' try 'write three short Vheer post captions for a sustainable skincare brand targeting women aged 25-40 who care about ingredients.' Specificity unlocks better output every time.

I asked for a content plan but it doesn't fit my timeline. Simply follow up with your actual timeline — for example, 'I only have two weeks and can post three times per week.' vheer-ai will restructure the plan around your real constraints without you needing to start over.

The tone feels off for my brand. Share a sentence or two written in your brand voice, or describe it directly ('we're casual but authoritative, like a knowledgeable friend'). vheer-ai will recalibrate immediately.

平台分布

OpenClaw

86.08%
按下载量换算688

安全审计

VirusTotal

未展示

ClawScan

通过

Static analysis

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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