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Agent Skill · 研究检索

pet-adoption-video(宠物领养视频)

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。

pet-adoption-video 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为接触敏感数据;许可证为 MIT-0,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 25,972。

总安装 3,659周安装 154GitHub Stars 公开资料未说明下载 1,281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
1.0.4

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:pet-adoption-video(宠物领养视频)
来源仓库:https://github.com/peand-rover/pet-adoption-video
安装命令:
openclaw skills install pet-adoption-video
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 pet-adoption-video

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

用于辅助宠物收容所视频制作与字幕编写。适合生成促使人们收养的脚本与镜头组合。可整合素材并优化叙事结构提升转化率。pet-adoption-video 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

安装命令:openclaw skills install pet-adoption-video,需确认素材路径访问权限。注意涉及动物肖像时应核对版权与使用授权。

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 pet-adoption-video;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

    它需要接触敏感数据,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

pet-adoption-video 怎么安装?

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

pet-adoption-video 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。

pet-adoption-video 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

pet-adoption-video 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。

pet-adoption-video 用的人多吗?

公开数据是累计安装 3,659 次,近一周安装 154 次,下载 1,281 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。

pet-adoption-video 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

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。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 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。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
pet-adoption-video

宠物领养视频 · 本页

3,659—接触敏感数据MIT-0有提醒

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
pet-adoption-video
version
1.0.4
displayName
Pet Adoption Video Creator — Craft Heartfelt Videos That Get Pets Adopted Faster
description
>
metadata
{"openclaw": {"emoji": "🐾", "requires": {"env": ["NEMO_TOKEN"], "configPaths": ["~/.config/nemovideo/"]}, "primaryEnv": "NEMO_TOKEN", "variant": "control"}}

Getting Started

Welcome to your pet adoption video assistant — let's create a video that helps this animal find their forever home! Share the pet's details, any footage or photos you have, and what platform you're posting to so we can get started.

Try saying:

  • "Write a 60-second adoption video script for a 3-year-old shy tabby cat named Miso who loves blankets and slow mornings"
  • "Give me a scene-by-scene outline for a foster dog's Instagram Reel that highlights her playful side and good behavior with kids"
  • "Create on-screen text and caption ideas for a senior beagle's adoption video that addresses common concerns about older dogs"

Automatic Setup

On first interaction, connect to the processing API before doing anything else. Show a brief status like "Setting things up...".

Token: If NEMO_TOKEN environment variable is already set, use it and skip to Session below.

Free token: Generate a UUID as client identifier, then POST to https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token with header X-Client-Id: <uuid>. The response field data.token becomes your NEMO_TOKEN (100 credits, 7-day expiry).

Session: POST to https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agent with Bearer auth and body {"task_name":"project"}. Save session_id from the response.

Confirm to the user you're connected and ready. Don't print tokens or raw JSON.

Turn Shelter Footage Into Adoption-Ready Stories

Every animal in a shelter deserves a video that shows their real personality — not just a shaky clip with no context. The pet-adoption-video skill helps you build videos that tell a pet's story in a way that resonates with potential adopters scrolling through social media or a rescue organization's website.

Whether you're working with raw footage from a phone, a set of photos, or just a written description of the pet, this skill helps you shape it into a structured, emotionally engaging video concept. You'll get scene-by-scene outlines, caption suggestions, voiceover scripts, and on-screen text ideas tailored to the specific animal — their breed, age, quirks, and adoption needs.

This is especially useful for small rescues and foster networks that don't have a dedicated media team. Instead of spending hours figuring out what to say or how to sequence clips, you can focus on the animals while this skill handles the storytelling framework that drives real adoption outcomes.

How Your Video Requests Flow

When you describe a pet's personality, story, or shelter details, the skill routes your request to the appropriate video template engine — whether that's a tearjerker rescue narrative, an upbeat playful profile, or a senior pet spotlight.

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❌

Cloud Backend API Reference

Pet adoption video processing runs through ClawHub's media rendering pipeline, which stitches together shelter-provided footage, AI-generated captions, and adoption call-to-action overlays in the cloud — no local rendering required. Heavy tasks like b-roll sequencing and voiceover sync are handled server-side so your final shareable video is ready in seconds.

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

  • X-Skill-Source: pet-adoption-video
  • 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

Common Workflows

Most users come to this skill with one of three starting points: raw footage they need to structure, a pet profile they want to turn into a video concept, or a finished video that needs better captions and on-screen text.

For footage-based projects, share a description of what clips you have — length, what the pet is doing, the setting — and the skill will suggest a scene order, transition cues, and a voiceover or text overlay script that fits the footage you've already captured.

For profile-to-video workflows, paste in the pet's shelter bio or foster notes and specify the platform (TikTok, Instagram, Facebook, rescue website). You'll get a tailored script with an emotional opening hook, a middle section showcasing personality, and a clear call-to-action that tells viewers exactly how to adopt.

For caption and overlay work, share your existing video concept or rough cut description and the skill will generate platform-optimized captions, hashtag suggestions, and on-screen text timed to key moments in the video.

Quick Start Guide

Getting your first pet adoption video script takes less than two minutes. Start by telling the skill three things: the pet's basic info (name, species, breed, age), their standout personality traits or backstory, and where the video will be posted.

From there, specify the video length you're targeting. A 15-30 second TikTok needs a very different structure than a 2-minute Facebook feature video. If you're unsure, ask the skill to recommend a format based on the platform and the pet's story.

Once you have a script or outline, you can ask for variations — a more upbeat tone for a playful puppy, a gentler and slower-paced version for a timid or special-needs animal. You can also request separate versions for different platforms from the same core content, so one session can produce assets for Instagram, TikTok, and your rescue's website all at once.

平台分布

OpenClaw

74.56%
按下载量换算955

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

通过

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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