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Agent Skill · 待分类

video-trimming(视频剪辑)

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。

video-trimming 是待分类类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为需要联网;许可证信息还不明确,第三方扫描有提醒项,按安装量在待分类类的 11,209 个 Skill 里排第 1,781。

总安装 2,305周安装 98GitHub Stars 12下载 808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
unknown

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-trimming(视频剪辑)
来源仓库:https://github.com/eachlabs/skills
仓库路径:skills/video-trimming
安装命令:
npx skills add https://github.com/eachlabs/skills --skill video-trimming
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 npx skills 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。

skills.shnpx skills
npx skills add https://github.com/eachlabs/skills --skill video-trimming

这个 Skill 是做什么的

这个 Skill 的分类还没最终确定,用法以来源仓库的说明为准。

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。

安装方式:github,命令:npx skills add https://github.com/eachlabs/skills --skill video-trimming

来源仓库内路径:skills/video-trimming

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 Codex、Claude、Cursor、Gemini CLI;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 npx skills add https://github.com/eachlabs/skills --skill video-trimming;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

video-trimming 怎么安装?

在终端执行 npx skills add https://github.com/eachlabs/skills --skill video-trimming。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

video-trimming 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。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。

video-trimming 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。

video-trimming 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

video-trimming 用的人多吗?

公开数据是累计安装 2,305 次,近一周安装 98 次,下载 808 次,GitHub 12 星。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。

video-trimming 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 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 Codex,想直接扩展它能力的人。
  • 需要处理待分类类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

待分类类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
infsh-cli

infsh CLI · Codex、Claude

4,374,576382权限未标注未明确未收录
ai-video-generation

AI 视频生成 · Codex、Claude

4,313,376382调用外部服务未明确有提醒
lark-openapi-explorer

云雀 OpenAPI 浏览器 · Codex、Claude

2,064,1209,011需要联网未明确有提醒
lark-workflow-standup-report

Lark 工作流程站立报告 · Codex、Claude

2,041,6328,978需要联网未明确通过
use-my-browser

使用我的浏览器 · Codex、Claude

1,848,49140操作浏览器未明确未通过
video-trimming

视频剪辑 · 本页

2,30512需要联网未明确有提醒

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

Video Trimming

Trim, cut, and split videos using each::sense. This skill enables precise video editing operations including segment extraction, scene detection, silence removal, and batch processing for social media optimization.

Features

  • Precise Trimming: Cut videos to exact timestamps or durations
  • Segment Extraction: Extract specific portions from the middle of videos
  • Intro/Outro Removal: Clean up videos by removing unwanted beginnings or endings
  • Video Splitting: Divide long videos into multiple shorter clips
  • Highlight Extraction: Pull out key moments from longer content
  • Silence Removal: Automatically detect and remove dead air or silent portions
  • Scene Detection: Smart cuts based on visual scene changes
  • Social Media Optimization: Trim to platform-specific lengths (15s, 30s, 60s)
  • Loop-Friendly Edits: Create seamless loops for social media
  • Batch Processing: Process multiple videos with consistent trimming rules

Quick Start

curl -X POST https://eachsense-agent.core.eachlabs.run/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -H "Accept: text/event-stream" \
  -d '{
    "messages": [{"role": "user", "content": "Trim this video to the first 30 seconds"}],
    "model": "eachsense/beta",
    "stream": true,
    "mode": "max",
    "video_urls": ["https://example.com/my-video.mp4"]
  }'

Trimming Operations Reference

OperationDescriptionExample Use Case
Duration TrimCut to specific length from startSocial media clips
Timestamp TrimExtract between start/end timesInterview segments
Intro RemovalRemove first N secondsClean up recordings
Outro RemovalRemove last N secondsRemove end cards
Segment ExtractionPull middle portionHighlight reels
Scene SplitDivide by visual changesChapter creation
Silence RemovalCut silent portionsPodcast editing
Batch TrimProcess multiple videosContent repurposing

Use Case Examples

1. Trim Video to Specific Duration

Trim a video to a specific length from the beginning.

curl -X POST https://eachsense-agent.core.eachlabs.run/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -H "Accept: text/event-stream" \
  -d '{
    "messages": [{"role": "user", "content": "Trim this video to exactly 60 seconds, keeping the first minute only"}],
    "model": "eachsense/beta",
    "stream": true,
    "mode": "max",
    "video_urls": ["https://example.com/full-video.mp4"]
  }'

2. Cut Segment from Middle

Extract a specific portion from the middle of a video using timestamps.

curl -X POST https://eachsense-agent.core.eachlabs.run/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -H "Accept: text/event-stream" \
  -d '{
    "messages": [{"role": "user", "content": "Cut out the segment from 1:30 to 2:45 of this video. I want just that middle portion as a standalone clip."}],
    "model": "eachsense/beta",
    "stream": true,
    "mode": "max",
    "video_urls": ["https://example.com/interview.mp4"]
  }'

3. Remove Intro and Outro

Clean up a video by removing unwanted intro and outro sections.

curl -X POST https://eachsense-agent.core.eachlabs.run/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -H "Accept: text/event-stream" \
  -d '{
    "messages": [{"role": "user", "content": "Remove the first 10 seconds (intro) and last 15 seconds (outro) from this video. Keep only the main content in the middle."}],
    "model": "eachsense/beta",
    "stream": true,
    "mode": "max",
    "video_urls": ["https://example.com/youtube-video.mp4"]
  }'

4. Split Video into Multiple Clips

Divide a long video into several shorter segments.

curl -X POST https://eachsense-agent.core.eachlabs.run/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -H "Accept: text/event-stream" \
  -d '{
    "messages": [{"role": "user", "content": "Split this 5-minute video into five 1-minute clips. Each clip should be a separate output."}],
    "model": "eachsense/beta",
    "stream": true,
    "mode": "max",
    "video_urls": ["https://example.com/long-video.mp4"]
  }'

5. Extract Highlight Moments

Pull out the best moments from a longer video.

curl -X POST https://eachsense-agent.core.eachlabs.run/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -H "Accept: text/event-stream" \
  -d '{
    "messages": [{"role": "user", "content": "Extract the most engaging or action-packed moments from this video. Create a highlight reel of the best 30 seconds."}],
    "model": "eachsense/beta",
    "stream": true,
    "mode": "max",
    "video_urls": ["https://example.com/sports-footage.mp4"]
  }'

6. Remove Silence and Dead Air

Automatically detect and remove silent portions from a video.

curl -X POST https://eachsense-agent.core.eachlabs.run/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -H "Accept: text/event-stream" \
  -d '{
    "messages": [{"role": "user", "content": "Remove all silent portions and dead air from this video. Cut out any segments where there is no speaking or significant audio for more than 2 seconds."}],
    "model": "eachsense/beta",
    "stream": true,
    "mode": "max",
    "video_urls": ["https://example.com/podcast-recording.mp4"]
  }'

7. Smart Scene Detection Cut

Use AI to detect scene changes and split the video accordingly.

curl -X POST https://eachsense-agent.core.eachlabs.run/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -H "Accept: text/event-stream" \
  -d '{
    "messages": [{"role": "user", "content": "Analyze this video and split it into separate clips based on scene changes. Each time the visual scene changes significantly, create a new clip."}],
    "model": "eachsense/beta",
    "stream": true,
    "mode": "max",
    "video_urls": ["https://example.com/multi-scene-video.mp4"]
  }'

8. Batch Trim Multiple Videos

Process multiple videos with the same trimming rules using session continuity.

# First video
curl -X POST https://eachsense-agent.core.eachlabs.run/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -H "Accept: text/event-stream" \
  -d '{
    "messages": [{"role": "user", "content": "Trim this video to 30 seconds from the start. We will process multiple videos with the same rule."}],
    "model": "eachsense/beta",
    "stream": true,
    "session_id": "batch-trim-001",
    "mode": "eco",
    "video_urls": ["https://example.com/video1.mp4"]
  }'

# Second video (same session)
curl -X POST https://eachsense-agent.core.eachlabs.run/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -H "Accept: text/event-stream" \
  -d '{
    "messages": [{"role": "user", "content": "Apply the same 30-second trim to this video"}],
    "model": "eachsense/beta",
    "stream": true,
    "session_id": "batch-trim-001",
    "mode": "eco",
    "video_urls": ["https://example.com/video2.mp4"]
  }'

# Third video (same session)
curl -X POST https://eachsense-agent.core.eachlabs.run/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -H "Accept: text/event-stream" \
  -d '{
    "messages": [{"role": "user", "content": "And the same for this one"}],
    "model": "eachsense/beta",
    "stream": true,
    "session_id": "batch-trim-001",
    "mode": "eco",
    "video_urls": ["https://example.com/video3.mp4"]
  }'

9. Trim to Social Media Length

Optimize videos for specific social media platform requirements.

# Instagram Reels / TikTok (15 seconds)
curl -X POST https://eachsense-agent.core.eachlabs.run/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -H "Accept: text/event-stream" \
  -d '{
    "messages": [{"role": "user", "content": "Trim this video to exactly 15 seconds for Instagram Reels. Pick the most engaging 15-second segment."}],
    "model": "eachsense/beta",
    "stream": true,
    "mode": "max",
    "video_urls": ["https://example.com/content.mp4"]
  }'

# YouTube Shorts (30 seconds)
curl -X POST https://eachsense-agent.core.eachlabs.run/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -H "Accept: text/event-stream" \
  -d '{
    "messages": [{"role": "user", "content": "Create a 30-second clip optimized for YouTube Shorts from this video. Focus on the hook at the start."}],
    "model": "eachsense/beta",
    "stream": true,
    "mode": "max",
    "video_urls": ["https://example.com/content.mp4"]
  }'

# Standard social clip (60 seconds)
curl -X POST https://eachsense-agent.core.eachlabs.run/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -H "Accept: text/event-stream" \
  -d '{
    "messages": [{"role": "user", "content": "Trim to 60 seconds maximum for Twitter/X. Keep the most important content."}],
    "model": "eachsense/beta",
    "stream": true,
    "mode": "max",
    "video_urls": ["https://example.com/content.mp4"]
  }'

10. Loop-Friendly Trim

Create seamlessly looping video clips for social media.

curl -X POST https://eachsense-agent.core.eachlabs.run/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -H "Accept: text/event-stream" \
  -d '{
    "messages": [{"role": "user", "content": "Trim this video to create a seamless loop. Find a segment where the end flows naturally back to the beginning, ideally 5-10 seconds long for a satisfying social media loop."}],
    "model": "eachsense/beta",
    "stream": true,
    "mode": "max",
    "video_urls": ["https://example.com/loopable-content.mp4"]
  }'

Best Practices

Trimming Tips

  • Be specific: Provide exact timestamps (MM:SS or HH:MM:SS) when possible
  • Describe content: If you do not know timestamps, describe what you want ("the part where they shake hands")
  • Buffer time: Allow small buffers around cuts to avoid abrupt transitions
  • Check audio: Ensure cuts do not happen mid-sentence or mid-note

Performance Optimization

  • Use eco mode for batch processing or quick iterations
  • Use max mode for final exports and quality-critical content
  • Process shorter videos first to verify settings before batch operations

Social Media Guidelines

PlatformRecommended LengthNotes
TikTok15-60 secondsHook in first 3 seconds
Instagram Reels15-30 seconds90 seconds max
YouTube Shorts30-60 secondsUnder 60 seconds required
Twitter/X30-60 seconds2:20 max for standard accounts
LinkedIn30-90 secondsProfessional context

Prompt Tips for Video Trimming

When requesting video trims, include these details:

  1. Exact timing: "from 0:45 to 1:30" or "first 30 seconds"
  2. Content reference: "the interview segment" or "when the product demo starts"
  3. Output requirements: "keep audio" or "I need 3 separate clips"
  4. Platform target: "for Instagram Reels" or "YouTube Shorts optimized"
  5. Quality preference: Use mode: "max" for finals, mode: "eco" for drafts

Example Prompt Structure

"[Action] this video [timing/selection criteria].
[Additional requirements like output format, platform, etc.]"

Examples:

  • "Trim this video to 30 seconds starting at 1:00"
  • "Extract three 15-second highlights from different parts of this video"
  • "Remove the first 5 seconds and last 10 seconds"

Mode Selection

"Do you want fast & cheap, or high quality?"

ModeBest ForSpeedQuality
maxFinal exports, client deliverables, quality-criticalSlowerHighest
ecoQuick previews, batch processing, draft iterationsFasterGood

Multi-Turn Editing Session

Use session_id to iterate on video edits:

# Initial trim
curl -X POST https://eachsense-agent.core.eachlabs.run/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -H "Accept: text/event-stream" \
  -d '{
    "messages": [{"role": "user", "content": "Trim this video to the segment from 0:30 to 1:30"}],
    "model": "eachsense/beta",
    "stream": true,
    "session_id": "edit-session-001",
    "video_urls": ["https://example.com/raw-footage.mp4"]
  }'

# Adjust the trim
curl -X POST https://eachsense-agent.core.eachlabs.run/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -H "Accept: text/event-stream" \
  -d '{
    "messages": [{"role": "user", "content": "Actually, extend the end by 10 more seconds to include the conclusion"}],
    "model": "eachsense/beta",
    "stream": true,
    "session_id": "edit-session-001"
  }'

# Request additional version
curl -X POST https://eachsense-agent.core.eachlabs.run/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -H "Accept: text/event-stream" \
  -d '{
    "messages": [{"role": "user", "content": "Create a shorter 15-second version of this same segment for Instagram"}],
    "model": "eachsense/beta",
    "stream": true,
    "session_id": "edit-session-001"
  }'

Error Handling

ErrorCauseSolution
Failed to create prediction: HTTP 422Insufficient balanceTop up at eachlabs.ai
TimeoutLong video processingSet client timeout to minimum 10 minutes
Invalid timestampTimestamp exceeds video lengthVerify video duration first
Unsupported formatVideo codec not supportedConvert to MP4/H.264 first

Related Skills

  • each-sense - Core API documentation
  • video-generation - Create videos from scratch
  • video-editing - Advanced video editing operations
  • video-to-video - Transform and style transfer videos

平台分布

Codex

34.31%
按下载量换算277

Claude

31.52%
按下载量换算255

Cursor

18.83%
按下载量换算152

Gemini CLI

8.63%
按下载量换算70

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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