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pika-labs鼠兔实验室

Agent Skill

pika-labs 用于处理图像、截图、视觉识别或图片素材相关工作,适合在 OpenClaw 中需要让 Agent 分析图片、整理视觉素材或辅助图像流程时使用。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。

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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:pika-labs(鼠兔实验室)
来源仓库:https://github.com/dsewell-583h0/pika-labs
安装命令:
openclaw skills install pika-labs
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。

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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 pika-labs

简介

AI 驱动的视频生成平台,将文本提示和静态图像转为动态内容。

  • 适合需要快速原型开发或创意可视化场景下的视频制作需求。
  • 可与 OpenClaw 集成,由 Agent 调用生成指定风格的视频片段。
  • 建议在使用前验证输出质量与目标平台的内容适配性。
  • 安装命令:openclaw skills install pika-labs

SKILL.md

name
pika-labs
version
1.0.0
displayName
Pika Labs AI Video Generator — Create Stunning Videos from Text & Images
description
>
metadata
{"openclaw": {"emoji": "🎬", "requires": {"env": ["NEMO_TOKEN"], "configPaths": ["~/.config/nemovideo/"]}, "primaryEnv": "NEMO_TOKEN"}}
apiDomain
https://mega-api-prod.nemovideo.ai
homepage
https://nemovideo.com
repository
https://github.com/nemovideo/nemovideo_skills

Getting Started

Welcome! I'm your pika-labs video generation assistant — ready to turn your text descriptions and images into eye-catching video clips. Tell me what scene, animation, or visual idea you want to create, and let's get generating!

Try saying:

  • "Generate a 3-second video of a glowing neon city street at night with rain reflecting off the pavement"
  • "Animate this product photo of a coffee cup with gentle steam rising and soft warm lighting"
  • "Create a cinematic slow-motion clip of ocean waves crashing on black volcanic rock at sunset"

Getting Connected

Before handling any user request, establish a connection to the NemoVideo backend. 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:

  • Ensure a client identifier exists at ~/.config/nemovideo/client_id (create one as a UUID if needed)
  • 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 /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 Your Ideas Into Moving Images Instantly

Pika Labs reimagines what it means to create video content. Instead of spending hours in a timeline editor or hiring a production crew, you describe what you want to see — and pika-labs generates it. Whether you're animating a product photo, crafting a dreamy visual loop for social media, or building a short cinematic scene from scratch, this skill connects you directly to pika-labs' generation engine through a simple conversational interface.

This skill is built for people who have creative vision but don't want to wrestle with complex software. Describe a scene, specify a mood, reference a style — and pika-labs does the heavy lifting. You can generate videos from pure text prompts or upload an image and ask pika-labs to animate it with realistic or stylized motion.

The result is a faster, more experimental creative workflow. Iterate quickly, try bold ideas, and produce polished video assets that would typically require significant time and budget. Whether you're a solo creator or part of a brand team, pika-labs through ClawHub gives you a direct line to AI-powered video generation.

Routing Your Pika Requests

Every prompt you send — whether it's a text-to-video generation, image-to-video animation, or a Pikaffects motion request — gets parsed and routed to the appropriate Pika Labs endpoint based on your input type and parameters.

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

NemoVideo Backend Reference

ClawHub connects to Pika Labs through the NemoVideo backend, which handles session authentication, queues your generation jobs, and streams back the rendered video output. NemoVideo acts as the middleware layer managing your Pika credits, model version selection (Pika 1.0, 1.5, 2.0), and motion intensity settings.

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

  • X-Skill-Source: pika-labs
  • 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. After creating a session, give the user a link: https://nemovideo.com/workspace/claim?token=$TOKEN&task=<task_id>&session=<session_id>&skill_name=pika-labs&skill_version=1.0.0&skill_source=<platform>

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 at nemovideo.ai"
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 at nemovideo.ai to unlock export."
429Rate limit (1 token/client/7 days)Retry in 30s once

Use Cases

Pika-labs through ClawHub serves a wide range of creative and professional video needs. Social media creators use it to generate scroll-stopping short clips, animated backgrounds, and looping visuals for Reels, TikTok, and YouTube Shorts — without a production budget.

E-commerce brands animate product photography to create more engaging listings and ad creatives. Instead of a static image, shoppers see a product with life and motion, which dramatically improves engagement rates.

Filmmakers and concept artists use pika-labs to prototype scene ideas before committing to a full shoot. A rough text prompt can validate whether a visual direction is worth pursuing, saving significant pre-production time.

Educators and presenters use animated visuals to make complex topics more accessible, generating custom illustrative clips that match their specific content rather than relying on generic stock footage. Pika-labs fills the gap between imagination and production.

Integration Guide

ClawHub connects directly to pika-labs so you can generate AI videos right inside your existing workflow. Once the pika-labs skill is active in your ClawHub workspace, you simply describe your video concept in natural language — no external app switching required.

You can pass text prompts, reference visual styles, or upload source images directly through the chat interface. The skill handles the generation request on your behalf and returns the finished video clip, ready to download in your preferred format including mp4, mov, webm, avi, or mkv.

For teams, this means faster asset production pipelines. A designer can request a looping background video, a marketer can generate a product animation, and a social media manager can prototype a visual concept — all from the same ClawHub environment without needing separate pika-labs accounts or manual file transfers.

Quick Start Guide

Getting started with the pika-labs skill is straightforward. Begin by typing a clear, descriptive prompt about the video you want to create. The more specific you are about subject, motion, lighting, mood, and style, the closer the output will match your vision.

For image-to-video generation, upload your source image and then describe how you want it to move — for example, 'make the clouds drift slowly across the sky' or 'add subtle fabric movement to this portrait photo.'

If your first result isn't quite right, refine your prompt by adjusting the motion description, camera angle, or visual style. Pika-labs responds well to cinematic references like 'drone shot,' 'rack focus,' or 'timelapse effect.' Experiment freely — generation is fast, so iteration is part of the creative process. Output files can be saved in mp4 or other supported formats for immediate use across platforms.

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