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Agent Skill · 效率

ai-video-stabilizer(AI 视频稳定器)

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-stabilizer 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 13,924。

总安装 3,552周安装 148GitHub Stars 公开资料未说明下载 1,184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
1.0.1

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-stabilizer(AI 视频稳定器)
来源仓库:https://github.com/peand-rover/ai-video-stabilizer
安装命令:
openclaw skills install ai-video-stabilizer
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-stabilizer

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。

用于修复手持抖动与相机运动异常,实现视频平滑稳定处理。支持行走弹跳、风摇等多种抖动类型修复,提升画面观感质量。使用时需确认输入视频格式与版权,涉及商业用途应审核合规性。安装方式:通过 clawhub 安装,命令为 openclaw skills install ai-video-stabilizer。

注意:涉及人物或品牌内容时,需额外核对授权与真实性。

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-stabilizer;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-stabilizer 怎么安装?

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

ai-video-stabilizer 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-stabilizer 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-stabilizer 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-stabilizer 用的人多吗?

公开数据是累计安装 3,552 次,近一周安装 148 次,下载 1,184 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-stabilizer 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
ai-video-stabilizer

AI 视频稳定器 · 本页

3,552—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-stabilizer
version
1.0.1
displayName
AI Video Stabilizer — Stabilize Shaky Video and Smooth Camera Motion with AI
description
>
metadata
{"openclaw": {"emoji": "📹", "requires": {"env": [], "configPaths": ["~/.config/nemovideo/"]}, "primaryEnv": "NEMO_TOKEN"}}
homepage
https://nemovideo.com
repository
https://github.com/nemovideo/nemovideo_skills

AI Video Stabilizer — Smooth Footage from Any Camera, Any Situation

Shaky footage is the most common quality problem in video. Gimbal stabilizers cost $100-500 and add weight, setup time, and another device to charge. Tripods eliminate shake but eliminate mobility. Most real-world recording happens handheld: phone in hand while walking, camera at a concert, action cam on a bike, drone in wind, car dashcam on rough roads. All of these produce shake that makes footage look amateur and can cause viewer discomfort. The human eye has built-in stabilization — the vestibulo-ocular reflex keeps our visual field steady even when our head moves. When we watch shaky footage, our brain tries to stabilize it and fails, creating a disconnect that registers as low quality (and for some viewers, actual motion sickness). Professional stabilization in post-production traditionally requires: importing into editing software, applying warp stabilizer or similar tool, waiting for frame-by-frame analysis (minutes to hours depending on length), adjusting settings to balance smoothness vs. crop, re-rendering, and reviewing. For long footage, the process can take hours. NemoVideo stabilizes through AI analysis that distinguishes intentional movement (pans, tilts, tracking shots) from unintentional shake (hand tremor, footstep bounce, vehicle vibration). The AI removes the shake while preserving the creative movement — producing footage that looks like it was shot on a gimbal.

Use Cases

  1. Walking Footage — Eliminate Footstep Bounce (any length) — A vlogger records while walking through a city. Every step creates a vertical bounce that makes the footage feel like a shaky-cam horror movie. NemoVideo: analyzes the repetitive vertical oscillation pattern (footstep frequency), removes the bounce while preserving the forward walking motion, maintains horizontal panning (the vlogger looking at different things), and produces footage that feels like a smooth dolly shot. Walking footage that looks like a steadicam.
  1. Concert/Event — Handheld in a Crowd (any length) — Phone footage from a concert: the shooter is being jostled by the crowd, holding their phone above their head, zoomed in on the stage. Triple shake: crowd pushing, arm fatigue, and digital zoom amplifying every movement. NemoVideo: applies aggressive stabilization appropriate for the extreme shake level, crops slightly to allow stabilization headroom (the AI determines the minimum crop needed), preserves the audio perfectly (stabilization is video-only), and produces watchable footage from nearly unwatchable source material.
  1. Car/Vehicle — Dashcam Vibration (any length) — Dashboard camera footage from a road with potholes and rough pavement. High-frequency vibration makes every frame slightly blurry and the video uncomfortable to watch. NemoVideo: identifies the high-frequency vibration pattern (different from hand shake — faster, more regular), removes the vibration while keeping the vehicle's actual turning and direction changes, and produces smooth driving footage. Dashcam footage that actually documents the drive clearly.
  1. Drone — Wind Wobble Correction (any length) — Drone footage in moderate wind. The drone's gimbal handles most stabilization but wind gusts create periodic wobbles — slight tilts and position shifts that the gimbal cannot fully compensate. NemoVideo: detects the irregular wobble pattern (wind gusts are aperiodic, unlike footstep bounce), smooths the wobbles while preserving intentional flight path and camera movements, and produces footage that looks like calm-weather flight. Drone footage usable regardless of wind conditions.
  1. Action Cam — Extreme Motion Stabilization (any length) — GoPro mounted on a mountain bike, ski helmet, or surfboard. Extreme vibration and rotation that built-in stabilization cannot fully handle. NemoVideo: applies maximum stabilization with AI-powered motion prediction (predicting where the frame should be based on surrounding frames), accepts higher crop ratio for extreme cases (the crop needed for extreme stabilization is compensated by the action cam's wide-angle lens), and produces smooth action footage suitable for highlight reels and social sharing.

How It Works

Step 1 — Upload Shaky Video

Any footage with unwanted camera shake. NemoVideo auto-detects the type and severity of shake.

Step 2 — Set Stabilization Level

Auto (AI decides), gentle (minimal correction, minimal crop), standard (balanced), aggressive (maximum smoothness, more crop), or custom (specify smoothing strength and crop tolerance).

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-stabilizer",
    "prompt": "Stabilize a 5-minute handheld walking vlog. Remove footstep bounce and hand shake but preserve intentional panning when I look at things. Standard stabilization — balance between smoothness and crop. Maintain original resolution after crop (scale up slightly). Also generate a 9:16 vertical version with face tracking for TikTok clips.",
    "stabilization": "standard",
    "preserve_motion": ["pan", "tilt", "zoom"],
    "remove_motion": ["shake", "bounce", "vibration"],
    "crop_handling": "scale-to-fill",
    "outputs": [
      {"format": "16:9", "resolution": "1080p"},
      {"format": "9:16", "tracking": "face", "platform": "tiktok"}
    ]
  }'

Step 4 — Compare Before/After

Preview stabilized vs. original side-by-side. Verify: shake is removed, intentional movement is preserved, no warping artifacts. Download.

Parameters

ParameterTypeRequiredDescription
promptstring✅Stabilization requirements
stabilizationstring"auto", "gentle", "standard", "aggressive", "custom"
smoothingfloat0.0-1.0 custom smoothing strength
preserve_motionarray["pan", "tilt", "zoom", "tracking"] — intentional motions to keep
remove_motionarray["shake", "bounce", "vibration", "roll"]
crop_handlingstring"scale-to-fill", "black-bars", "ai-extend"
max_cropfloatMaximum crop percentage (default: 15%%)
outputsarray[{format, resolution, tracking}]
batcharrayMultiple videos

Output Example

{
  "job_id": "avstab-20260328-001",
  "status": "completed",
  "source_duration": "5:12",
  "shake_analysis": {
    "type": "walking-bounce + hand-shake",
    "severity": "moderate",
    "frequency": "2.1 Hz (footstep) + random (hand)"
  },
  "stabilization_applied": "standard",
  "crop_used": "8.2%%",
  "intentional_motion_preserved": ["horizontal pan", "vertical tilt"],
  "outputs": {
    "main": {"file": "vlog-stabilized-16x9.mp4", "resolution": "1920x1080"},
    "tiktok": {"file": "vlog-stabilized-9x16.mp4", "resolution": "1080x1920", "tracking": "face"}
  }
}

Tips

  1. Standard stabilization is right for 90% of footage — Gentle leaves visible shake. Aggressive crops too much. Standard balances smoothness and frame preservation for most handheld recordings.
  2. Preserving intentional motion is what separates good stabilization from bad — A stabilizer that removes everything (pans included) produces eerie, floating footage. NemoVideo's AI distinguishes shake (high-frequency, random) from pans (smooth, directional) and removes only the shake.
  3. Wider lens = easier stabilization — Wide-angle footage (phone, GoPro, drone) has more frame to work with for cropping. Zoomed-in telephoto footage amplifies shake and leaves less crop margin. When possible, shoot wide and crop in post.
  4. Scale-to-fill after crop maintains resolution — Stabilization requires slight cropping. Scaling the stabilized result back to full resolution prevents visible borders while maintaining apparent resolution. The slight softening from upscaling is invisible at normal viewing distances.
  5. Audio is never affected by stabilization — Video stabilization only modifies the visual frames. Audio remains perfectly synced and unaltered. No need to worry about audio drift or quality changes.

Output Formats

FormatResolutionUse Case
MP4 16:91080p / 4KYouTube / website
MP4 9:161080x1920TikTok / Reels / Shorts
MP4 1:11080x1080Instagram / LinkedIn

Related Skills

平台分布

OpenClaw

80.4%
按下载量换算952

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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