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Agent Skill · 开发

ai-video-editor-app(AI 视频编辑器应用程序)

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-editor-app 是开发类 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,第三方扫描已通过,按安装量在开发类的 21,744 个 Skill 里排第 10,281。

总安装 2,321周安装 116GitHub Stars 公开资料未说明下载 947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-editor-app(AI 视频编辑器应用程序)
来源仓库:https://github.com/tk8544-b/ai-video-editor-app
安装命令:
openclaw skills install ai-video-editor-app
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-editor-app

这个 Skill 是做什么的

开发类 Skill 面向写代码、改代码和排查问题,一般会读写仓库文件,部分还会执行构建或测试命令。

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。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。使用时需确认分辨率、时长、素材路径和导出格式,按提示描述编辑需求即可。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。

安装方式:clawhub;适用宿主:OpenClaw。

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-editor-app;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

ai-video-editor-app 怎么安装?

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

ai-video-editor-app 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-editor-app 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。

ai-video-editor-app 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-editor-app 用的人多吗?

公开数据是累计安装 2,321 次,近一周安装 116 次,下载 947 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-editor-app 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

  • 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。
  • 需要处理开发类任务、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

  • 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。

开发类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
skill-vetter

技能审查员 · OpenClaw

8,779,018986操作浏览器MIT-0通过
ontology

本体论 · OpenClaw

6,636,960576只读MIT-0通过
entra-app-registration

内部应用程序注册 · Codex、Claude

6,631,872764接触敏感数据未明确通过
entra-app-registration

内部应用程序注册 · Codex、Claude

3,757,680201接触敏感数据未明确通过
nano-banana-pro

纳米香蕉专业版 · OpenClaw

3,526,898364接触敏感数据MIT-0有提醒
ai-video-editor-app

AI 视频编辑器应用程序 · 本页

2,321—接触敏感数据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-editor-app
version
1.0.0
displayName
AI Video Editor App — Smart Editing Tools That Cut, Enhance & Export Fast
description
>
metadata
{"openclaw": {"emoji": "🎬", "requires": {"env": ["NEMO_TOKEN"], "configPaths": ["~/.config/nemovideo/"]}, "primaryEnv": "NEMO_TOKEN", "variant": "control"}}

Getting Started

Welcome to your AI video editing assistant — describe your footage or project and I'll generate a complete edit plan, captions, and platform-ready recommendations. Ready to start? Tell me what video you're working on!

Try saying:

  • "I have a 12-minute interview with a CEO. Help me cut it down to a 90-second LinkedIn highlight reel with captions and a strong opening hook."
  • "I'm making a product demo video for a skincare brand. Suggest a scene-by-scene edit structure, on-screen text, and background music style for Instagram Reels."
  • "I recorded a 45-minute webinar. Help me identify the 5 best short clips to repurpose for YouTube Shorts, and write captions for each one."

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.

Edit Smarter, Not Harder With AI

Most video editing tools demand hours of manual work — scrubbing timelines, syncing audio, adjusting color, and writing captions frame by frame. This skill changes that equation entirely. Describe your footage, your goal, and your audience, and get back a structured edit plan, caption drafts, scene suggestions, and export recommendations tailored to your platform.

Whether you're cutting a 10-minute interview down to a punchy 60-second reel, building a product demo for your landing page, or repurposing a podcast episode into short-form clips for TikTok and Instagram, this skill maps out every step. You'll get shot-by-shot guidance, on-screen text ideas, hook scripts, and b-roll suggestions — all without opening a single editing app until you're ready.

This is the AI co-editor that understands storytelling, pacing, and platform-specific formats. No more staring at a blank timeline wondering where to start.

Routing Edits to the Right Pipeline

When you submit a cut, enhancement, or export request, ClawHub parses your intent and routes it to the matching AI editing pipeline — whether that's scene detection, color grading, auto-captioning, or render optimization.

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 Processing Backend Reference

All video processing runs on distributed cloud inference nodes that handle frame analysis, AI upscaling, and codec-level export encoding in parallel. Requests are queued by job type — trim and cut operations resolve fastest, while full-timeline AI enhancements may batch across multiple GPU instances depending on clip length and resolution.

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

  • X-Skill-Source: ai-video-editor-app
  • 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

Use Cases

Content Creators & YouTubers: Use this skill to plan your edit before you even open your software. Get a timestamped cut list, hook ideas for the first 5 seconds, and chapter suggestions based on your video topic.

Social Media Managers: Repurpose long-form videos into platform-specific formats. Get tailored aspect ratio recommendations, caption styles, and clip lengths for TikTok, Instagram Reels, YouTube Shorts, and LinkedIn — all from one source video.

Marketing Teams: Build polished product demos, testimonial edits, and brand story videos with AI-generated scripts, scene structures, and call-to-action placement suggestions. No video production background required.

Podcasters Going Visual: Describe your episode and get a clip extraction plan that identifies the most quotable, shareable moments — complete with suggested on-screen text and thumbnail copy.

FAQ

Do I need to upload my actual video files? No — this skill works from your descriptions. Tell me what's in your footage, how long it is, and what you want to achieve, and I'll generate a complete edit plan you can execute in any editing app.

Which editing software does this work with? The edit plans and suggestions are software-agnostic. Whether you use Premiere Pro, Final Cut, CapCut, DaVinci Resolve, or a mobile app, the output translates to any tool.

Can it write captions and subtitles? Yes. Describe the spoken content or paste a transcript and I'll format captions optimized for readability, timing, and platform style — including burned-in subtitle suggestions and accessibility-friendly formatting.

What if I don't know what kind of video I want? Just describe your goal and audience. I'll recommend a video format, structure, and editing approach that fits your use case — from scratch.

平台分布

OpenClaw

77.19%
按下载量换算731

安全审计

VirusTotal

通过

ClawScan

通过

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。目前只有一个公开来源,建议同时核对源仓库。

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