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pet-adoption-video宠物领养视频

Agent Skill

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。

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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: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

简介

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。

SKILL.md

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.

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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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74.56%
按下载量换算955

安全审计

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通过

ClawScan

可疑

Static analysis

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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。

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