Best fit
- AI辅助的视频编辑工作流程,用于剪辑、构建和增强实拍素材。涵盖从原始拍摄到FFmpeg、Remotion、ElevenLabs、fal.ai,再到Descript或CapCut最终润色的完整流程。适用于用户想要编辑视频、剪辑素材、制作vlog或构建视频内容的情况。
affaan-m/ECC
AI辅助的视频编辑工作流程,用于剪辑、构建和增强实拍素材。涵盖从原始拍摄到FFmpeg、Remotion、ElevenLabs、fal.ai,再到Descript或CapCut最终润色的完整流程。适用于用户想要编辑视频、剪辑素材、制作vlog或构建视频内容的情况。
npx skills add https://github.com/affaan-m/ECC --skill "docs/zh-CN/skills/video-editing"Source checked Jul 28, 2026·Refresh due Oct 26, 2026
Reorganized from the pinned upstream SKILL.md
According to the pinned SKILL.md from affaan-m/ECC: 针对真实素材的AI辅助编辑。非根据提示生成。快速编辑现有视频。
npx skills add https://github.com/affaan-m/ECC --skill "docs/zh-CN/skills/video-editing"Best fit
Bring this context
Expected outputs
Key source sections
Sections are extracted automatically from the pinned SKILL.md and link back to the source.
用户想要编辑、剪辑或构建视频素材 将长录制内容转化为短视频内容 从原始素材构建vlog、教程或演示视频 为现有视频添加叠加层、字幕、音乐或画外音 为不同平台(YouTube、TikTok、Instagram)重新构图视频 用户提到“编辑视频”、“剪辑这个素材”、“制作vlog”或“视频工作流”
当你不再要求AI创建整个视频,而是开始使用它来压缩、构建和增强真实素材时,AI视频编辑就变得有用了。价值不在于生成。价值在于压缩。
每个层级都有特定的工作。不要跳过层级。不要试图让一个工具完成所有事情。
Screen Studio:用于应用演示、编码会话、浏览器工作流程的精致屏幕录制 原始摄像机素材:vlog素材、采访、活动录制 通过VideoDB的桌面采集:具有实时上下文的会话录制(参见 videodb 技能)
转录和标记:生成转录稿,识别主题和要点 规划结构:决定保留内容、剪切内容、确定顺序 识别无效片段:查找停顿、离题、重复拍摄 生成编辑决策列表:用于剪辑的时间戳、保留的片段 搭建FFmpeg和Remotion代码:生成命令和合成
SkillSignal prompt templates
These prompts were written by SkillSignal from the source structure; they are not upstream text.
Task-start prompt
Confirm source fit, inputs, and outputs before acting.
Use video-editing to help me with: [specific task]. Context: [files, data, or background]. Constraints: [environment, scope, and prohibited actions]. Before acting, check the pinned SKILL.md and explain which sections apply, what inputs are still missing, and what you will deliver.
Source-guided execution
Make the Agent explicitly follow the key extracted sections.
Apply the pinned video-editing source to [task]. Pay particular attention to these source sections: “何时激活”, “核心理念”, “处理流程”, “层级 1:采集(Screen Studio / 原始素材)”, “层级 2:组织(Claude / Codex)”. Preserve the important decision at each step. Mark facts not covered by the source as “needs confirmation” instead of inventing them. Then verify the result against my acceptance criteria: [criteria].
Result-review prompt
Check omissions, permissions, and source drift before delivery.
Review the current video-editing result: (1) does it satisfy the original task; (2) were any applicable steps or limits in the pinned SKILL.md missed; (3) did it perform any unauthorized file, command, network, or data action; and (4) which conclusions remain unverified? List issues first, then fix only what the source or user authorization supports.
Output checklist
The task matches the purpose documented in the SKILL.md.
The source section “何时激活” has been checked.
The source section “核心理念” has been checked.
The source section “处理流程” has been checked.
The source section “层级 1:采集(Screen Studio / 原始素材)” has been checked.
Inputs, constraints, and acceptance criteria are explicit.
Unverified facts, compatibility, and outcome claims are clearly marked.
Any file, command, network, or data action has been reviewed.
Choose a different workflow
AI-assisted video editing workflows for cutting, structuring, and augmenting real footage. Covers the full pipeline from raw capture through FFmpeg, Remotion, ElevenLabs, fal.ai, and final polish in Descript or CapCut. Use when the user wants to edit video, cut footage, create vlogs, or build video content.
A separate implementation from affaan-m/ECC; compare its source, maintenance signals, and permission requirements.
Open source detailAI-assisted video editing workflows for cutting, structuring, and augmenting real footage. Covers the full pipeline from raw capture through FFmpeg, Remotion, ElevenLabs, fal.ai, and final polish in Descript or CapCut. Use when the user wants to edit video, cut footage, create vlogs, or build video content.
A separate implementation from affaan-m/ECC; compare its source, maintenance signals, and permission requirements.
Open source detail実写素材のカット、構築、強化のためのAI支援ビデオ編集ワークフロー。生の撮影素材からFFmpeg、Remotion、ElevenLabs、fal.aiを経て、DescriptまたはCapCutで最終仕上げを行う完全なパイプラインをカバーする。ユーザーがビデオの編集、素材のカット、vlogの作成、またはビデオコンテンツの構築を望む場合に使用する。
A separate implementation from affaan-m/ECC; compare its source, maintenance signals, and permission requirements.
Open source detailFAQ
针对真实素材的AI辅助编辑。非根据提示生成。快速编辑现有视频。
The catalog detected this source-specific install command: npx skills add https://github.com/affaan-m/ECC --skill "docs/zh-CN/skills/video-editing". Inspect the command and pinned source before running it.
codex
Quality breakdown
Based on traceable docs and repository signals; stars are not treated as quality.
Compare before choosing
These links are selected from shared tasks, functions, stacks, platforms, and same-name variants. Compare the source owner, documentation, permissions, and maintenance signals.
AI-assisted video editing workflows for cutting, structuring, and augmenting real footage. Covers the full pipeline from raw capture through FFmpeg, Remotion, ElevenLabs, fal.ai, and final polish in Descript or CapCut. Use when the user wants to edit video, cut footage, create vlogs, or build video content.
AI-assisted video editing workflows for cutting, structuring, and augmenting real footage. Covers the full pipeline from raw capture through FFmpeg, Remotion, ElevenLabs, fal.ai, and final polish in Descript or CapCut. Use when the user wants to edit video, cut footage, create vlogs, or build video content.
実写素材のカット、構築、強化のためのAI支援ビデオ編集ワークフロー。生の撮影素材からFFmpeg、Remotion、ElevenLabs、fal.aiを経て、DescriptまたはCapCutで最終仕上げを行う完全なパイプラインをカバーする。ユーザーがビデオの編集、素材のカット、vlogの作成、またはビデオコンテンツの構築を望む場合に使用する。
Create, repair, validate, preview, and package Codex-compatible animated pet spritesheets from character art, screenshots, generated images, or visual references. Use when a user wants to hatch a Codex pet, create a custom animated pet, or build a built-in pet asset with an 8x9 atlas, transparent unused cells, row-by-row animation prompts, QA contact sheets, preview videos, and pet.json packaging. This skill composes the installed $imagegen system skill for visual generation and uses bundled scr
Elite website image-to-code skill for Codex. For visually important web tasks, it must first generate the design image(s) itself, deeply analyze them, then implement the website to match them as closely as possible. In Codex, it must prefer large, readable, section-specific images instead of tiny compressed boards, generate fresh standalone images for sections or detail views instead of cropping old ones, avoid lazy under-generation, avoid cards-inside-cards-inside-cards UI, and keep the hero cl
针对真实素材的AI辅助编辑。非根据提示生成。快速编辑现有视频。
当你不再要求AI创建整个视频,而是开始使用它来压缩、构建和增强真实素材时,AI视频编辑就变得有用了。价值不在于生成。价值在于压缩。
Screen Studio / 原始素材
→ Claude / Codex
→ FFmpeg
→ Remotion
→ ElevenLabs / fal.ai
→ Descript 或 CapCut
每个层级都有特定的工作。不要跳过层级。不要试图让一个工具完成所有事情。
收集源材料:
videodb 技能)输出:准备进行组织的原始文件。
使用Claude Code或Codex进行:
示例提示词:
"这是一份4小时录音的文字记录。找出最适合制作24分钟vlog的8个精彩片段。
为每个片段提供FFmpeg剪辑命令。"
此层级关乎结构,而非最终的创意品味。
FFmpeg处理枯燥但关键的工作:分割、修剪、连接和预处理。
ffmpeg -i raw.mp4 -ss 00:12:30 -to 00:15:45 -c copy segment_01.mp4
#!/bin/bash
# cuts.txt: start,end,label
while IFS=, read -r start end label; do
ffmpeg -i raw.mp4 -ss "$start" -to "$end" -c copy "segments/${label}.mp4"
done < cuts.txt
# Create file list
for f in segments/*.mp4; do echo "file '$f'"; done > concat.txt
ffmpeg -f concat -safe 0 -i concat.txt -c copy assembled.mp4
ffmpeg -i raw.mp4 -vf "scale=960:-2" -c:v libx264 -preset ultrafast -crf 28 proxy.mp4
ffmpeg -i raw.mp4 -vn -acodec pcm_s16le -ar 16000 audio.wav
ffmpeg -i segment.mp4 -af loudnorm=I=-16:TP=-1.5:LRA=11 -c:v copy normalized.mp4
Remotion将编辑问题转化为可组合的代码。用它来处理传统编辑器让工作变得痛苦的事情:
import { AbsoluteFill, Sequence, Video, useCurrentFrame } from "remotion";
export const VlogComposition: React.FC = () => {
const frame = useCurrentFrame();
return (
<AbsoluteFill>
{/* Main footage */}
<Sequence from={0} durationInFrames={300}>
<Video src="/segments/intro.mp4" />
</Sequence>
{/* Title overlay */}
<Sequence from={30} durationInFrames={90}>
<AbsoluteFill style={{
justifyContent: "center",
alignItems: "center",
}}>
<h1 style={{
fontSize: 72,
color: "white",
textShadow: "2px 2px 8px rgba(0,0,0,0.8)",
}}>
The AI Editing Stack
</h1>
</AbsoluteFill>
</Sequence>
{/* Next segment */}
<Sequence from={300} durationInFrames={450}>
<Video src="/segments/demo.mp4" />
</Sequence>
</AbsoluteFill>
);
};
npx remotion render src/index.ts VlogComposition output.mp4
有关详细模式和API参考,请参阅Remotion文档。
仅生成所需内容。不要生成整个视频。
import os
import requests
resp = requests.post(
f"https://api.elevenlabs.io/v1/text-to-speech/{voice_id}",
headers={
"xi-api-key": os.environ["ELEVENLABS_API_KEY"],
"Content-Type": "application/json"
},
json={
"text": "Your narration text here",
"model_id": "eleven_turbo_v2_5",
"voice_settings": {"stability": 0.5, "similarity_boost": 0.75}
}
)
with open("voiceover.mp3", "wb") as f:
f.write(resp.content)
使用 fal-ai-media 技能进行:
用于不存在的插入镜头、缩略图或B-roll素材:
generate(app_id: "fal-ai/nano-banana-pro", input_data: {
"prompt": "专业科技视频缩略图,深色背景,屏幕上显示代码",
"image_size": "landscape_16_9"
})
如果配置了VideoDB:
voiceover = coll.generate_voice(text="Narration here", voice="alloy")
music = coll.generate_music(prompt="lo-fi background for coding vlog", duration=120)
sfx = coll.generate_sound_effect(prompt="subtle whoosh transition")
最后一层由人工完成。使用传统编辑器进行:
品味体现在此。AI清理重复性工作。你做出最终决定。
不同平台需要不同的宽高比:
| 平台 | 宽高比 | 分辨率 |
|---|---|---|
| YouTube | 16:9 | 1920x1080 |
| TikTok / Reels | 9:16 | 1080x1920 |
| Instagram Feed | 1:1 | 1080x1080 |
| X / Twitter | 16:9 或 1:1 | 1280x720 或 720x720 |
# 16:9 to 9:16 (center crop)
ffmpeg -i input.mp4 -vf "crop=ih*9/16:ih,scale=1080:1920" vertical.mp4
# 16:9 to 1:1 (center crop)
ffmpeg -i input.mp4 -vf "crop=ih:ih,scale=1080:1080" square.mp4
from videodb import ReframeMode
# Smart reframe (AI-guided subject tracking)
reframed = video.reframe(start=0, end=60, target="vertical", mode=ReframeMode.smart)
# Detect scene changes (threshold 0.3 = moderate sensitivity)
ffmpeg -i input.mp4 -vf "select='gt(scene,0.3)',showinfo" -vsync vfr -f null - 2>&1 | grep showinfo
# Find silent segments (useful for cutting dead air)
ffmpeg -i input.mp4 -af silencedetect=noise=-30dB:d=2 -f null - 2>&1 | grep silence
使用Claude分析转录稿 + 场景时间戳:
"根据这份带时间戳的转录稿和这些场景转换点,找出最适合社交媒体发布的5段30秒最吸引人的剪辑片段。"
| 工具 | 优势 | 劣势 |
|---|---|---|
| Claude / Codex | 组织、规划、代码生成 | 不是创意品味层 |
| FFmpeg | 确定性剪辑、批量处理、格式转换 | 无可视化编辑UI |
| Remotion | 可编程叠加层、可组合场景、可重复使用模板 | 对非开发者有学习曲线 |
| Screen Studio | 即时获得精致的屏幕录制 | 仅限屏幕采集 |
| ElevenLabs | 人声、旁白、音乐、音效 | 不是工作流程的核心 |
| Descript / CapCut | 最终节奏调整、字幕、润色 | 手动操作,不可自动化 |
fal-ai-media — AI图像、视频和音频生成videodb — 服务器端视频处理、索引和流媒体content-engine — 平台原生内容分发