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video-editing-app视频编辑应用程序

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

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下载量

2,513
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:video-editing-app(视频编辑应用程序)
来源仓库:https://github.com/whitejohnk-26/video-editing-app
安装命令:
openclaw skills install video-editing-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 video-editing-app

简介

优化视频编辑应用程序的使用体验,实现零门槛操作。

  • 适用于需要频繁处理采访录像或会议记录的用户群体。
  • 上传素材后语音引导完成字幕同步与多轨道合成任务。
  • 兼容MP4/MOV/AVI/WebM,单文件上限500MB;敏感信息需脱敏处理。
  • 安装于OpenClaw生态,首次使用需授予文件访问权限。

SKILL.md

name
video-editing-app
version
1.0.0
displayName
Video Editing App Assistant — Edit, Cut, and Polish Videos Like a Pro
description
>
metadata
{"openclaw": {"emoji": "🎬", "requires": {"env": ["NEMO_TOKEN"], "configPaths": ["~/.config/nemovideo/"]}, "primaryEnv": "NEMO_TOKEN", "variant": "greeting_v2"}}

Getting Started

Share your video editing question or describe your project and I'll give you a precise, step-by-step answer. No footage? Just tell me what you're trying to create.

Try saying:

  • "I have a 10-minute raw interview clip and I need to cut it down to 2 minutes with smooth transitions — what's the best approach?"
  • "How do I sync background music to match the beat of my video cuts in a typical video editing app timeline?"
  • "My exported video looks pixelated on Instagram — what export settings should I use to keep quality high on mobile?"

Quick Start Setup

This skill connects to a cloud processing backend. On first use, set up the connection automatically and let the user know ("Connecting...").

Token check: Look for NEMO_TOKEN in the environment. If found, skip to session creation. Otherwise:

  • Generate a UUID as client identifier
  • POST https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token with X-Client-Id header
  • Extract data.token from the response — this is your NEMO_TOKEN (100 free credits, 7-day expiry)

Session: POST https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agent with Bearer auth and body {"task_name":"project"}. Keep the returned session_id for all operations.

Let the user know with a brief "Ready!" when setup is complete. Don't expose tokens or raw API output.

Your Personal Guide to Faster, Smarter Video Editing

Editing video can feel overwhelming — timelines, codecs, color grading, audio mixing, export settings. This skill cuts through the noise and helps you focus on what actually matters for your specific project. Whether you're putting together a YouTube vlog, a product demo, a wedding highlight reel, or a short film, you'll get targeted advice that fits your workflow and your tools.

Instead of digging through forums or watching hour-long tutorials, just describe what you're trying to do and get a direct answer. Want to know how to remove background noise from a clip? How to create a smooth jump cut? How to add lower-third text overlays? This skill handles all of it with step-by-step clarity.

This isn't a generic video tips page. Every response is shaped around your actual video-editing-app scenario — the specific cut you're trying to make, the format you're exporting to, or the effect you're chasing. Think of it as having an experienced editor sitting next to you, ready to answer any question without judgment.

Routing Cuts and Edit Requests

Every request you make — whether trimming a clip, applying a color grade, or exporting a timeline — gets parsed and routed to the matching editing function based on the action type and target asset.

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

All heavy lifting like transcoding, multi-track rendering, and effects processing runs through a distributed cloud backend, so your local device never bottlenecks the export queue. Render jobs are queued, prioritized by resolution and codec complexity, and results are streamed back as soon as the output file is ready.

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

  • X-Skill-Source: video-editing-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

Common Workflows

A typical social media workflow in a video-editing-app starts with importing and organizing footage into labeled bins — A-roll, B-roll, music, graphics. From there, build a rough cut on the timeline using only your best A-roll takes, then layer B-roll on top to cover cuts and add visual variety.

For YouTube content, the standard workflow is: rough cut → audio mix → color correction → graphics and titles → export review → final export. Doing these in order prevents you from having to redo work when something upstream changes.

When editing for clients, always work from a project duplicate and keep original media untouched. Deliver a low-resolution proxy preview first for feedback, then apply notes to the full-resolution timeline before final export. This saves hours of back-and-forth revision time.

Tips and Tricks

One of the most underused features in any video-editing-app is the keyboard shortcut set. Learning even five shortcuts — play/pause, split clip, zoom timeline, undo, and export — can cut your editing time in half. Ask this skill for a shortcut cheat sheet tailored to your specific app.

When color grading, always correct before you grade. Use your app's scopes (waveform, vectorscope) to fix exposure and white balance first, then apply your creative look. Skipping correction leads to grades that fall apart across different screens.

For audio, normalize your dialogue tracks to around -12 dB before adding music. This gives you headroom and keeps voices clear. Use a low-pass filter on background music so it doesn't compete with speech in the midrange frequencies.

Use Cases

Content creators use this skill to streamline their video-editing-app process — from figuring out the right aspect ratio for Reels versus TikTok versus YouTube Shorts, to automating repetitive tasks like adding intros and outros to every episode.

Small business owners rely on it to produce product demos and testimonial videos without hiring an editor. Getting guidance on basic color correction, clean cuts, and professional-looking title cards makes a huge difference in perceived brand quality.

Educators and trainers use video editing apps to produce course content, and this skill helps them add chapter markers, screen recording overlays, and closed captions efficiently. Whether you're recording a lecture or a software walkthrough, the workflow advice here is practical and project-specific.

Event videographers — weddings, corporate events, live performances — use it to handle multi-camera syncing, music licensing considerations, and highlight reel pacing that keeps audiences engaged from first frame to last.

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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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