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Agent Skill · 效率

pika-labs(鼠兔实验室)

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。

pika-labs 是效率类 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,按安装量在效率类的 21,003 个 Skill 里排第 15,195。

总安装 3,182周安装 130GitHub Stars 公开资料未说明下载 1,030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: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。

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 pika-labs

这个 Skill 是做什么的

效率类 Skill 把重复的整理、汇总、转换工作交给助手完成,减少手工复制粘贴。

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

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 pika-labs;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

pika-labs 怎么安装?

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

pika-labs 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。

pika-labs 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。

pika-labs 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。

pika-labs 用的人多吗?

公开数据是累计安装 3,182 次,近一周安装 130 次,下载 1,030 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。

pika-labs 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。
  • 需要处理效率类任务、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。

效率类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
github

GitHub 代码协作 · OpenClaw

7,632,918545需要联网MIT-0通过
nano-pdf

Nano PDF 文档 · OpenClaw

4,249,476231需要联网MIT-0通过
auto-updater

自动更新程序 · OpenClaw

2,964,063386操作浏览器MIT-0通过
video-frames

视频帧 · OpenClaw

2,621,304112需要联网MIT-0通过
gemini

Gemini 助手 · OpenClaw

2,547,39648需要联网MIT-0有提醒
pika-labs

鼠兔实验室 · 本页

3,182—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
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.

平台分布

OpenClaw

79.04%
按下载量换算814

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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