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Agent Skill · 研究检索

ai-video-thumbnail-maker(ai 视频缩略图制作器)

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。

ai-video-thumbnail-maker 是研究检索类 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,按安装量在研究检索类的 73,675 个 Skill 里排第 17,356。

总安装 6,650周安装 269GitHub Stars 公开资料未说明下载 2,087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:ai-video-thumbnail-maker(ai 视频缩略图制作器)
来源仓库:https://github.com/peand-rover/ai-video-thumbnail-maker
安装命令:
openclaw skills install ai-video-thumbnail-maker
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 ai-video-thumbnail-maker

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。

使用 AI 从视频生成高点击率缩略图,提升内容吸引力。适用于短视频平台、社交媒体和视频营销项目。自动提取最佳帧、增强人脸、添加文本叠加和优化布局。安装命令:openclaw skills install ai-video-thumbnail-maker。注意核对素材版权和导出格式要求,避免侵权风险。

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 ai-video-thumbnail-maker;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

ai-video-thumbnail-maker 怎么安装?

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

ai-video-thumbnail-maker 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。

ai-video-thumbnail-maker 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。

ai-video-thumbnail-maker 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。

ai-video-thumbnail-maker 用的人多吗?

公开数据是累计安装 6,650 次,近一周安装 269 次,下载 2,087 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。

ai-video-thumbnail-maker 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。
  • 需要处理研究检索类任务、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。

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
ai-video-thumbnail-maker

ai 视频缩略图制作器 · 本页

6,650—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
ai-video-thumbnail-maker
version
1.0.0
displayName
AI Video Thumbnail Maker — Generate Click-Worthy Thumbnails from Any Video with AI
description
>
metadata
{"openclaw": {"emoji": "🖼️", "requires": {"env": [], "configPaths": ["~/.config/nemovideo/"]}, "primaryEnv": "NEMO_TOKEN"}}

AI Video Thumbnail Maker — The Image That Decides If Anyone Watches

A thumbnail is the most important single image in video content. YouTube's own research confirms that thumbnails are the #1 factor in click-through rate — more than titles, more than descriptions, more than channel reputation. A video with great content and a mediocre thumbnail underperforms a video with good content and an excellent thumbnail. Every day, viewers make thousands of split-second decisions based on thumbnails: watch or scroll. The thumbnail has approximately 1.5 seconds to communicate: what the video is about, why the viewer should care, and whether the production quality is worth their time. Professional thumbnail designers charge $25-100 per thumbnail and YouTube's top creators invest heavily in thumbnail testing — MrBeast famously tests 20+ thumbnail variations per video. The principles of effective thumbnails are well established: large faces with clear expressions, bold contrasting text (3-5 words maximum), bright saturated colors, clean uncluttered compositions, and visual curiosity gaps. NemoVideo applies these principles automatically. Upload a video (or describe a thumbnail concept) and the AI: identifies the best frame, enhances the subject, applies text overlays with proven compositions, and generates multiple variations for A/B testing.

Use Cases

  1. Auto-Extract Best Frame — Smart Frame Selection (any video) — A creator uploaded a 20-minute video and needs a thumbnail. NemoVideo: analyzes every frame for: facial expression clarity (open eyes, clear emotion), visual composition (rule of thirds, subject prominence), color vibrancy (bright, saturated scenes), motion blur absence (sharp focus), and uniqueness (frames that represent the video's most interesting moment). Selects the top 5 frames, enhances each for thumbnail use (face brightening, background simplification, color boost), and presents options. The best possible thumbnail from the actual content.
  1. Text Overlay Thumbnail — Bold Title Design (any concept) — A tutorial video needs a thumbnail with text: "5 Mistakes Killing Your Videos." NemoVideo: selects or generates a background (from the video or AI-generated), positions the text in the highest-impact zone (usually upper-left or center), applies bold sans-serif font with contrasting outline (readable at any size), sizes the text to fill 30-40% of the thumbnail (the sweet spot for readability at small sizes), and color-coordinates text with the background for maximum contrast. A thumbnail that communicates the video's value proposition in a glance.
  1. Face Enhancement — Expression Maximization (any talking-head video) — A talking-head creator's best content moments have great audio but their face is small in the frame or their expression is neutral. NemoVideo: crops tighter on the face (close-up creates intimacy and impact), enhances the expression (brightens eyes, increases contrast on facial features — subtle, not uncanny), adds a clean background (removing distracting elements), and optionally adds reaction elements (emojis, arrows, text) to amplify the emotional context. The face-forward thumbnail style that dominates YouTube.
  1. A/B Testing Set — Multiple Variations (any video) — A creator wants to test which thumbnail concept performs best. NemoVideo generates 4-6 variations of the same video's thumbnail: different frames, different text, different color schemes, different compositions. The creator uploads all to YouTube's A/B testing feature (or uses third-party thumbnail testers) and data determines the winner. Thumbnail optimization through testing rather than guessing.
  1. Batch Thumbnails — Consistent Series Branding (multiple videos) — A creator publishes a 12-episode series and needs thumbnails that are individually compelling but visually consistent as a series. NemoVideo: applies a consistent visual template (same font, same color scheme, same layout structure), varies the episode-specific elements (different face expression, different episode number, different subtitle), and produces 12 thumbnails that look cohesive when viewed as a playlist grid. Series branding that communicates "this is a set" at a glance.

How It Works

Step 1 — Upload Video or Describe Concept

Upload the video for auto frame extraction, or describe the thumbnail concept for AI generation.

Step 2 — Choose Thumbnail Style

Auto-extract (AI picks best frame), text overlay, face close-up, composite (face + background + text), or A/B test set.

Step 3 — Generate

curl -X POST https://mega-api-prod.nemovideo.ai/api/v1/generate \
  -H "Authorization: Bearer $NEMO_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "skill": "ai-video-thumbnail-maker",
    "prompt": "Create a YouTube thumbnail for a video titled 5 Camera Settings You Are Using Wrong. Style: face close-up of a frustrated person with hands on head, bright red and yellow color scheme, bold white text with black outline saying 5 MISTAKES positioned in the upper-left, a red X emoji overlaid on a camera in the lower-right corner. High contrast, saturated colors, readable at 320x180 pixel size (mobile thumbnail size). Generate 3 variations: different expressions, different text positions, different color emphasis.",
    "style": "face-closeup-with-text",
    "text": "5 MISTAKES",
    "text_position": "upper-left",
    "colors": {"primary": "#FF0000", "secondary": "#FFD700", "text": "#FFFFFF"},
    "variations": 3,
    "resolution": "1280x720"
  }'

Step 4 — Select or Test

Choose the strongest variation, or upload multiple to A/B test. Review at mobile thumbnail size (320x180) to verify readability.

Parameters

ParameterTypeRequiredDescription
promptstring✅Thumbnail description
stylestring"auto-extract", "text-overlay", "face-closeup", "composite", "ab-test"
textstringOverlay text (3-5 words recommended)
text_positionstring"upper-left", "center", "lower-right", "custom"
colorsobject{primary, secondary, text, outline}
face_enhancebooleanBrighten and enhance facial features
variationsintNumber of A/B test variations (2-6)
seriesobject{name, episode_number, template} for series consistency
resolutionstring"1280x720" (YouTube standard)
frame_sourcestring"auto" (AI picks), "timestamp" (specify), "upload"

Output Example

{
  "job_id": "avthumb-20260328-001",
  "status": "completed",
  "variations": [
    {"file": "thumbnail-v1.png", "composition": "face-left, text-upper-right", "colors": "red dominant"},
    {"file": "thumbnail-v2.png", "composition": "face-center, text-below", "colors": "yellow dominant"},
    {"file": "thumbnail-v3.png", "composition": "face-right, text-upper-left", "colors": "high contrast red+white"}
  ],
  "resolution": "1280x720",
  "mobile_preview": "320x180 readability verified"
}

Tips

  1. Test at 320x180 pixels — that is the actual viewing size — Thumbnails are designed at 1280x720 but viewed at 320x180 (mobile) or even smaller (sidebar suggestions). If the text is unreadable and the expression unclear at thumbnail size, the full-resolution beauty is irrelevant.
  2. Faces with clear expressions outperform every other thumbnail type — Human brains process faces before anything else. A large face with a clear emotion (surprise, excitement, frustration, curiosity) consistently produces the highest click-through rates across all content categories.
  3. 3-5 words maximum for thumbnail text — At thumbnail viewing size, more than 5 words become unreadable. The text should be a hook, not a sentence: "5 MISTAKES", "NEVER DO THIS", "GAME CHANGER". The title provides detail; the thumbnail provides intrigue.
  4. Bright saturated colors win in the YouTube feed — The YouTube interface is white/dark gray. Thumbnails with bright reds, yellows, and oranges pop against this background. Muted, desaturated thumbnails disappear in the feed regardless of their artistic merit.
  5. A/B testing removes guesswork — Even experienced creators guess wrong about which thumbnail performs best. Testing 3-4 variations and letting data decide consistently outperforms single-thumbnail publishing. Always generate variations.

Output Formats

FormatResolutionUse Case
PNG1280x720YouTube (standard)
PNG1920x1080High-res / website
JPG1280x720Smaller file size
WebP1280x720Web-optimized

Related Skills

平台分布

OpenClaw

83.55%
按下载量换算1,744

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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