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vheer-ai-video-generatorvheer ai 视频生成器

Agent Skill

用于辅助视频生成、动画合成、脚本化剪辑或 Remotion 等视频项目开发。它适合让 Agent 组织镜头、生成素材说明、维护合成代码或排查渲染问题。使用时需要确认分辨率、时长、素材路径和导出格式;涉及外部素材、人物肖像或商业发布时,应先核对版权授权和内容审核要求。

总安装

2,230

周安装

92

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下载量

729
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

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-video-generator(vheer ai 视频生成器)
来源仓库:https://github.com/francemichaell-15/vheer-ai-video-generator
安装命令:
openclaw skills install vheer-ai-video-generator
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-video-generator

简介

利用 Vheer 模型将概念或脚本自动转为高质量视频。

  • 适合内容创作者、广告商与教育者快速原型化视频项目。
  • 上传脚本或图像,获取镜头编排与合成代码建议。
  • 安装命令:openclaw skills install vheer-ai-video-generator。
  • 商业发布前需审核输出内容,确保符合平台政策。

SKILL.md

name
vheer-ai-video-generator
version
1.0.0
displayName
Vheer AI Video Generator — Create Stunning Videos from Text & Images
description
>
metadata
{"openclaw": {"emoji": "🎬", "requires": {"env": ["NEMO_TOKEN"], "configPaths": ["~/.config/nemovideo/"]}, "primaryEnv": "NEMO_TOKEN", "variant": "short_prompts"}}

Getting Started

Welcome to Vheer AI Video Generator — your shortcut from idea to finished video. Tell me what you want to create and I'll generate it using Vheer's AI engine. Share a prompt, an image, or a concept to get started right now.

Try saying:

  • "Generate video from my product photo"
  • "Create a cinematic text-to-video clip"
  • "Animate this image into a reel"

Quick Start Setup

This skill connects to a cloud processing backend. On first use, set up the connection automatically and let the user know ("Connecting...").

Token check: Look for NEMO_TOKEN in the environment. If found, skip to session creation. Otherwise:

  • Generate a UUID as client identifier
  • POST https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token with X-Client-Id header
  • Extract data.token from the response — this is your NEMO_TOKEN (100 free credits, 7-day expiry)

Session: POST https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agent with Bearer auth and body {"task_name":"project"}. Keep the returned session_id for all operations.

Let the user know with a brief "Ready!" when setup is complete. Don't expose tokens or raw API output.

Turn Words and Images Into Real Video

Vheer AI Video Generator brings your creative ideas to life without requiring a camera, editing suite, or production crew. Whether you start with a written prompt, a product photo, or a rough storyboard concept, this skill converts your input into a fully rendered video sequence using Vheer's generative AI engine.

The skill is designed for people who need video content fast — social media managers working against a posting schedule, e-commerce brands building product demos, indie creators crafting short films, or marketers who need explainer videos without the agency budget. You describe the scene, set the tone, and Vheer handles the visual heavy lifting.

Beyond simple generation, the skill supports iterative refinement. Don't love the first output? Adjust the mood, swap the visual style, change the pacing, or rework the narrative arc. The result is a flexible, conversational video production workflow that meets you where your creative process already lives.

Routing Your Vheer Video Requests

Each prompt, image upload, or style selection you submit is parsed and dispatched to the appropriate Vheer generation pipeline — whether that's text-to-video, image-to-video, or motion synthesis.

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 processes all generation jobs on its distributed GPU cloud backend, queuing your render request and streaming the output back once the video frames are synthesized and encoded. Latency varies by resolution, motion complexity, and current cluster load.

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

  • X-Skill-Source: vheer-ai-video-generator
  • 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

Integration Guide

Vheer AI Video Generator fits naturally into content workflows that already rely on AI-assisted creation. If you're running a social media content pipeline, you can use this skill as the video production step — taking copy or campaign briefs that were written elsewhere and converting them directly into video assets ready for scheduling.

For e-commerce teams, the skill pairs well with product photography workflows. Export your product images from your photo editing tool, bring them here, and generate animated product videos suitable for listings, ads, or email campaigns without any additional software.

Agencies and freelancers can use the skill to rapidly prototype video concepts for client presentations. Generate multiple style variations from the same brief in minutes, present options to the client, and then refine the chosen direction — all within the same conversation thread. This removes the back-and-forth typically associated with early-stage video production and compresses the approval cycle significantly.

Quick Start Guide

Getting your first video out of Vheer AI Video Generator takes less than a minute. Start by describing your video in plain language — include the subject, mood, movement style, and intended platform if you have one. The more specific your prompt, the closer the output will match your vision on the first attempt.

If you have a source image — a product shot, a landscape photo, a character illustration — you can drop it directly into the chat alongside your description. The skill will use it as a visual anchor for the generated video, animating and extending it into a full clip.

For best results, mention the aspect ratio you need upfront (vertical for Reels and TikTok, horizontal for YouTube, square for feeds). You can also specify duration, color palette preferences, and camera movement style such as slow zoom, pan, or static. Once the video is generated, simply describe any changes you want and the skill will revise accordingly.

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平台分布

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按下载量换算531

安全审计

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ClawScan

可疑

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