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pixverse-ai像素宇宙

Agent Skill

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。

总安装

3,354

周安装

137

GitHub Stars

公开资料未说明

下载量

1,074
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: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

简介

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。

SKILL.md

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.

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能力 5

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安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

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按下载量换算942

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