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Agent Skill · 开发

pixverse-ai(像素宇宙)

pixverse-ai 用于整理文档、README、Markdown 和说明材料,适合在 OpenClaw 中需要把零散信息整理成结构清晰的文档时使用。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。

pixverse-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 8,065。

总安装 3,354周安装 137GitHub Stars 公开资料未说明下载 1,074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:pixverse-ai(像素宇宙)
来源仓库:https://github.com/vcarolxhberger/pixverse-ai
安装命令:
openclaw skills install pixverse-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 pixverse-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。

AI视频内容生成工具,降低电影级制作门槛无需专业团队。适合个人创作者或小团队快速产出高质量短片与宣传片。整合多模态模型支持文本到视频与图像动画化转换。输出质量受提示词精度与算力分配策略显著影响。适用宿主包括 OpenClaw,接入前应确认版本、权限和运行环境要求。

pixverse-ai 属于开发类 Skill,可作为该场景下的辅助能力补充。

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 pixverse-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

pixverse-ai 怎么安装?

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

pixverse-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。

pixverse-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。

pixverse-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。

pixverse-ai 用的人多吗?

公开数据是累计安装 3,354 次,近一周安装 137 次,下载 1,074 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。

pixverse-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
pixverse-ai

像素宇宙 · 本页

3,354—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
pixverse-ai
version
1.0.0
displayName
PixVerse AI Video Generator — Create Stunning AI Videos from Text & Images
description
>
metadata
{"openclaw": {"emoji": "🎬", "requires": {"env": ["NEMO_TOKEN"], "configPaths": ["~/.config/nemovideo/"]}, "primaryEnv": "NEMO_TOKEN", "variant": "control"}}

Getting Started

Welcome to your PixVerse AI video studio — where a single sentence can become a cinematic clip. Tell me what you want to create and I'll generate it for you right now!

Try saying:

  • "Generate a short video of a lone astronaut walking across a red Martian desert at golden hour with dramatic cinematic lighting"
  • "Turn this product photo into an animated video clip with slow floating motion and a soft glowing background for an Instagram ad"
  • "Create a 5-second video of a futuristic city skyline at night with flying cars and neon reflections on wet streets"

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.

Turn Words and Images Into Cinematic Video Instantly

Creating video content used to mean cameras, editing software, and hours of post-production. PixVerse AI flips that model on its head. With this skill, you describe a scene — or drop in a reference image — and watch it transform into a dynamic, motion-rich video clip ready to share.

The pixverse-ai engine understands creative intent. You can describe mood, movement, camera angles, and visual style in plain language, and the system interprets those cues to produce something that actually looks intentional. Want a slow cinematic pan across a neon-lit cityscape? A product floating in a dreamy abstract space? A character walking through an autumn forest? Just say it.

This skill is built for creators who move fast — social media managers needing eye-catching reels, indie filmmakers prototyping scenes, brands producing short-form ads, or anyone who wants to stop being limited by production resources. PixVerse AI gives you a creative studio in a single conversation.

How PixVerse Routes Your Prompts

Every request you send — whether it's a text-to-video prompt or an image upload — is parsed and dispatched to the appropriate PixVerse generation pipeline based on your chosen motion style, aspect ratio, and video duration settings.

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❌

PixVerse API Backend Reference

PixVerse processes all video generation jobs on its cloud-based diffusion infrastructure, meaning renders happen server-side and your clip is queued, generated, and returned as a streamable URL — no local GPU required. Generation times vary depending on resolution, motion intensity, and current server load.

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

  • X-Skill-Source: pixverse-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

Best Practices for PixVerse AI Video Generation

Getting the most out of pixverse-ai comes down to how you write your prompts. Vague inputs produce vague results — the more specific your description of setting, lighting, motion, and mood, the more precise and cinematic your output will be.

Always include a visual style reference when possible. Phrases like 'shot on 35mm film,' 'soft bokeh background,' 'high contrast noir lighting,' or 'Wes Anderson symmetrical framing' give the model strong aesthetic direction to work with.

For image-to-video tasks, use clean, well-lit source images with a clear subject. PixVerse AI reads the composition of your image and builds motion around it — a cluttered or low-resolution input will limit what it can do. Cropped, portrait-oriented images work especially well for character animation prompts.

Keep your motion descriptions grounded. 'Camera slowly pushes in' works better than 'epic dramatic zoom explosion.' Subtle, intentional motion tends to produce more polished, usable results than over-the-top action descriptors.

Quick Start Guide — Your First PixVerse AI Video in Minutes

Getting started with pixverse-ai through this skill is straightforward. You don't need any accounts, software, or technical setup — just bring your idea.

Step 1: Write a scene description. Think of it like directing a shot. Include the subject, environment, lighting condition, and any camera movement you want. Example: 'A white ceramic coffee cup on a wooden table, steam rising slowly, warm morning sunlight from the left, shallow depth of field.'

Step 2: Optionally attach a reference image. If you have a product photo, character illustration, or landscape image you want animated, share it alongside your prompt. PixVerse AI will use it as the visual foundation.

Step 3: Specify output intent if relevant. Mention if this is for a social media reel, a presentation loop, a cinematic teaser, or an ad — this context helps shape pacing and style.

That's it. Submit your request and your video will be generated and ready to download or iterate on. If you want changes, just describe what to adjust and we'll regenerate.

平台分布

OpenClaw

87.75%
按下载量换算942

安全审计

VirusTotal

通过

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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