Token导航 LogoToken导航TokenDH.com
研究检索只读clawhub未标认证来源可访问clear审计通过

youtube-clip-curatorYouTube 剪辑策展人

Agent Skill

youtube-clip-curator 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

1,294

周安装

55

GitHub Stars

公开资料未说明

下载量

453
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:youtube-clip-curator(YouTube 剪辑策展人)
来源仓库:https://github.com/noahcraft-open/youtube-clip-curator
安装命令:
openclaw skills install youtube-clip-curator
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 youtube-clip-curator

简介

分析长 YouTube 视频,提取带有时间戳、标题、挂钩、情感标签和可选编辑项目文件的排名候选剪辑。

SKILL.md

YouTube Clip Curator

Analyze a long-form YouTube video (e.g. VTuber stream, podcast, lecture) and extract a ranked list of "clip candidates" with start/end timestamps, hook descriptions, click-worthy titles, and emotion tags. Optionally generate FCPXML for Premiere Pro / DaVinci Resolve, plus thumbnail briefs ready for an image AI.

When to use

Use this skill when the user needs to:

  • Turn a 1-3 hour stream into 5-10 short YouTube clip candidates
  • Reverse-engineer the editing thinking of a target clip channel
  • Get start/end seconds + title + hook for each clip — ready to cut
  • Emotion-tag each clip for thumbnail and promotion strategy
  • Bridge from raw long video to a Premiere Pro / DaVinci Resolve timeline
  • Suggest the most click-worthy moments without reviewing the full video

How it works

  1. Ask for the source video (YouTube URL, MP4 path, or transcript)
  2. Optionally ask for a "style template" channel (e.g. ちばちゃんねる) to mimic editing thinking
  3. Ask for the target clip count (default: 5) and duration target (short / medium / long)
  4. Analyze the transcript to find hooks, punchlines, emotion peaks, character moments
  5. Score each candidate by:

- Emotion intensity (laughter, surprise, chaos, cuteness) - Clear punchline / story structure - Quotable phrases / meme potential - Character trait expression - Standalone comprehensibility

  1. Output a ranked JSON list with start/end times, titles, hooks, and reasons

Output format

{
  "source_video": {"title": "...", "duration_min": 87},
  "template_style": "@ChannelChiba (chaos+character observation)",
  "clips": [
    {
      "rank": 1,
      "start_sec": 595,
      "end_sec": 932,
      "duration_sec": 337,
      "score": 0.95,
      "title_suggestion": "【ふざけるな】サイコロ振りながら偽フワワに応募してきたフブブにもこ田が本気でブチギレるwww",
      "hook_description": "ふぶき『ホロライブのふわふわしたとこからやってきたフブブです』+直後にカラカラ音→もこ田『ふざけるなよ!』の即ツッコミ",
      "expected_appeal": "笑い・カオス・ツッコミ",
      "emotion_tags": ["笑い", "カオス", "ツッコミ", "天然"],
      "peak_frame_sec": 658,
      "reason": "明確なパンチライン+キャラの濃い側面+ギャップ構造+ビジュアル化しやすい瞬間"
    }
  ]
}

Selection rules (built-in)

The skill uses these criteria when analyzing candidates:

High priority

  • Clear punchline / story structure — must have a beat that closes
  • Strong emotion peak — laughter, surprise, chaos, or cuteness above baseline
  • Character expression —天然 / 暴走 / ツッコミ / 暴言 / drysarcasm shines through
  • Standalone comprehensibility — viewer can understand without prior context

Medium priority

  • Quotable phrases — short impactful lines that meme well
  • Visual moment — facial expression / situation that thumbnails strongly
  • First 3 seconds hook — opens with strong statement or visual
  • Gap / contrast structure — serious situation × silly reaction etc.

Hard avoids

  • Pure gameplay walkthrough with no reaction
  • Long silence or downtime without payoff
  • Inside-joke moments that need 5+ minutes of context
  • Content that risks defamation / harm

Composition rules

  • Target length: 30-90 sec for short, 2-5 min for standard, 5-10 min for story
  • Open with the strongest 3 seconds
  • Maintain フリ→展開→オチ structure
  • Cut tempo: faster during chaos peaks, slower during character moments
  • Caption emphasis on power words: やばい / 神 / 草 / 終わった / ヤバ / うわ

Optional outputs

  • Premiere Pro FCPXML — drop into File > Import > XML, builds a timeline
  • DaVinci Resolve script — places clips on tracks, creates render queue
  • Thumbnail brief JSON — peak_frame_sec + emotion_tags + title hints for image AI
  • SRT subtitles — Whisper-derived per-clip captions, editable in any NLE

Tips for best results

  • Provide stream subtitles if available (auto-captions are OK but Whisper transcripts are better)
  • Specify a reference clip channel — output style adapts to that channel's thinking
  • For VTuber clips: include character name + game name so context-specific phrases score correctly
  • Ask for "3-5 clips" first to validate, then re-run for full set

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

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

OpenClaw

95.36%
按下载量换算432

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

继续浏览同类 Skills