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best-ai-for-video-editing最佳视频编辑 AI

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。

总安装

2,424

周安装

101

GitHub Stars

公开资料未说明

下载量

808
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:best-ai-for-video-editing(最佳视频编辑 AI)
来源仓库:https://github.com/tk8544-b/best-ai-for-video-editing
安装命令:
openclaw skills install best-ai-for-video-editing
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 best-ai-for-video-editing

简介

整合顶级视频编辑 AI 工具链实现从脚本到成品的快速转化。

  • 适用于短视频制作、广告剪辑与社交媒体内容批量生产场景。
  • 支持镜头衔接优化、背景音乐匹配与字幕自动生成功能。best-ai-for-video-editing 属于开发类 Skill,可作为该场景下的辅助能力补充。
  • 用户需提供分辨率、时长与素材路径等基础参数方可执行。
  • 涉及人物肖像或商业素材时须确认版权授权范围合法合规。

SKILL.md

name
best-ai-for-video-editing
version
1.0.0
displayName
Best AI for Video Editing — Smart Cuts, Captions & Creative Edits in Minutes
description
>
metadata
{"openclaw": {"emoji": "🎬", "requires": {"env": ["NEMO_TOKEN"], "configPaths": ["~/.config/nemovideo/"]}, "primaryEnv": "NEMO_TOKEN", "variant": "control"}}

Getting Started

Welcome to your AI-powered video editing assistant — the fastest way to go from raw footage to a polished, publish-ready clip. Tell me what you're working on or drop your video and let's start cutting.

Try saying:

  • "I have a 12-minute interview recording — help me cut it down to a 3-minute highlight reel with captions for Instagram Reels."
  • "My product demo video is too slow in the middle. Can you identify the dull sections and suggest where to trim for better pacing?"
  • "I want to turn this horizontal YouTube video into a vertical TikTok clip with auto-generated subtitles and a text hook at the start."

Getting Connected

Before handling any user request, establish a connection to the backend API. Show a brief status like "Connecting...".

If NEMO_TOKEN is in the environment, use it directly and create a session. Otherwise, acquire a free starter token:

  • Generate a UUID as client identifier
  • POST to https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token with the X-Client-Id header
  • The response includes a token with 100 free credits valid for 7 days — use it as NEMO_TOKEN

Then create a session by POSTing to https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agent with Bearer authorization and body {"task_name":"project","language":"en"}. The session_id in the response is needed for all following requests.

Tell the user you're ready. Keep the technical details out of the chat.

Edit Smarter: AI That Actually Understands Your Footage

Most video editing tools make you do all the thinking — you scrub through timelines, manually cut clips, and spend hours on tasks that should take minutes. This skill flips that experience entirely. Describe what you want your video to look like, and it figures out how to get there.

Whether you need a 90-second YouTube video trimmed to a punchy 30-second ad, a talking-head clip cleaned up with auto-captions, or a highlight reel assembled from raw footage, this skill handles the logic behind each decision. It understands pacing, visual storytelling, and platform-specific formatting — so your edits don't just look clean, they feel intentional.

Creators who use the best AI for video editing stop wasting time on repetitive tasks and start spending more energy on the creative choices that actually matter. From first cut to final export, this skill acts as a capable co-editor who never gets tired and always knows what frame to cut on.

Routing Cuts, Captions & Effects

Each request — whether you're asking for smart jump cuts, auto-captions, B-roll suggestions, or color grade tweaks — is parsed by intent and routed to the specialized AI model best suited for that editing task.

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 Render Pipeline Reference

Video processing runs through a distributed cloud transcoding backend that handles frame analysis, speech-to-text captioning, and generative edit rendering without taxing your local machine. Large files are chunked into segments, processed in parallel, then reassembled with frame-accurate precision before delivery.

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

  • X-Skill-Source: best-ai-for-video-editing
  • 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

Tips and Tricks

Start with your goal, not your footage. Instead of saying 'here's my video, edit it,' try 'I need a 60-second emotional brand story from this 8-minute founder interview.' That framing produces dramatically sharper suggestions.

Use it for B-roll planning. Describe your main talking points and ask the skill to suggest B-roll shot types that would visually support each section — a huge time-saver in pre-production.

Batch your caption requests. If you have multiple videos needing captions, list them together with their respective tones and platforms. The skill can handle batch instructions efficiently.

Ask for multiple cut versions. Request a 15-second, 30-second, and 60-second version simultaneously. Having three lengths ready means you're prepared for every ad placement or social slot without going back and forth.

FAQ

Can this skill edit the video file directly? It provides precise editing instructions, cut points, caption text, and export recommendations that you can apply in your editor of choice — or use with compatible export integrations.

What platforms does it optimize for? It knows the aspect ratios, caption styles, and pacing conventions for YouTube, TikTok, Instagram Reels, LinkedIn, and Twitter/X. Just mention your target platform.

Can it generate captions in multiple languages? Yes. Specify the target language and it will produce translated caption files alongside the original transcript.

Is it useful if I already know how to edit? Absolutely. Many experienced editors use the best AI for video editing to speed up rough cut decisions, generate caption drafts, and get a second opinion on pacing — not to replace their skills, but to accelerate them.

Performance Notes

For the best results when using this skill, upload footage in common formats like MP4, MOV, or MKV. Longer videos (over 20 minutes) may take slightly more time to analyze, so breaking raw footage into segments before uploading can speed up the editing suggestions significantly.

When asking for cuts or highlight reels, the more context you give — intended platform, target audience, desired tone — the more precise the output. A vague request like 'make it shorter' will produce a different result than 'cut this to 45 seconds for a LinkedIn ad targeting B2B marketers.'

Audio quality also affects caption accuracy. If your video has background noise or overlapping voices, mention it upfront so the skill can flag low-confidence caption segments for your review rather than silently guessing.

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