Token导航 LogoToken导航TokenDH.com
研究检索只读github未标认证来源可访问许可证需确认审计提醒

youtube-automationYouTube 自动化

Agent Skill

youtube-automation 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 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

10,670

周安装

272

GitHub Stars

89

下载量

2,712
CodexClaudeCursorGemini CLI

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

unknown

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-automation(YouTube 自动化)
来源仓库:https://github.com/claude-office-skills/skills
仓库路径:skills/youtube-automation
安装命令:
npx skills add https://github.com/claude-office-skills/skills --skill 'YouTube Automation'
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/claude-office-skills/skills --skill 'YouTube Automation'

简介

用于查找、检索和筛选相关信息。

  • 适合根据关键词或任务场景快速定位候选结果。
  • 可结合来源仓库和 README 核验具体用法。
  • 安装命令:npx skills add https://github.com/claude-office-skills/skills --skill 'YouTube Automation'。
  • 安装前建议确认权限范围和维护状态。

SKILL.md

YouTube Automation

Comprehensive skill for automating YouTube channel management and content workflows.

Core Workflows

1. Video Upload Pipeline

VIDEO PUBLISHING FLOW:
┌─────────────────┐
│  Video File     │
│  (MP4/MOV)      │
└────────┬────────┘
         ▼
┌─────────────────┐
│  Metadata Prep  │
│  - Title        │
│  - Description  │
│  - Tags         │
└────────┬────────┘
         ▼
┌─────────────────┐
│  Thumbnail      │
│  Upload         │
└────────┬────────┘
         ▼
┌─────────────────┐
│  Schedule/      │
│  Publish        │
└────────┬────────┘
         ▼
┌─────────────────┐
│  Notifications  │
│  & Promotion    │
└─────────────────┘

2. Video Configuration

video_upload:
  file: "video.mp4"

  metadata:
    title: "{{title}} | {{channel_name}}"
    description: |
      {{description}}

      ⏰ Timestamps:
      {{timestamps}}

      🔗 Links:
      {{links}}

      📱 Follow us:
      {{social_links}}

      #{{tags_hashtags}}

    tags:
      - "{{primary_keyword}}"
      - "{{secondary_keywords}}"
      - "{{channel_tags}}"

    category: "{{category_id}}"
    language: "en"

  settings:
    privacy: "public"  # public, private, unlisted
    made_for_kids: false
    age_restricted: false
    allow_comments: true
    allow_embedding: true
    notify_subscribers: true

  monetization:
    enabled: true
    mid_roll_ads: true

  schedule:
    publish_at: "2024-01-20T14:00:00Z"
    premiere: false

3. Thumbnail Guidelines

thumbnail_specs:
  dimensions: "1280x720"
  aspect_ratio: "16:9"
  format: ["PNG", "JPG"]
  max_size: "2MB"

  best_practices:
    - Use high contrast colors
    - Include readable text (3-5 words)
    - Show faces with expressions
    - Use brand-consistent styling
    - A/B test variations

  templates:
    tutorial:
      - Software screenshot
      - Text overlay
      - Step number

    review:
      - Product image
      - Rating visual
      - Reviewer face

    vlog:
      - Expressive face
      - Location context
      - Action shot

SEO Optimization

Keyword Research

seo_strategy:
  primary_keyword:
    placement:
      - title_start
      - description_first_line
      - first_tag
    research_tools:
      - YouTube Search Suggest
      - TubeBuddy
      - VidIQ
      - Google Trends

  title_formula:
    patterns:
      - "How to {{action}} {{keyword}} ({{year}})"
      - "{{number}} {{keyword}} Tips for {{audience}}"
      - "{{keyword}} Tutorial for Beginners"
      - "{{keyword}} vs {{competitor}} - Which is Better?"

    best_practices:
      - Front-load keywords
      - 60 characters max
      - Include power words
      - Add brackets/parentheses

  description_structure:
    - Hook (first 150 chars - visible in search)
    - Keywords naturally integrated
    - Timestamps
    - Links and CTAs
    - Hashtags (3-5 max)

Tag Strategy

tag_strategy:
  order:
    1: exact_match_keyword
    2: broad_match_keyword
    3: related_keywords
    4: channel_tags
    5: long_tail_variations

  example:
    video_topic: "Python Tutorial"
    tags:
      - "python tutorial"
      - "python tutorial for beginners"
      - "learn python"
      - "python programming"
      - "python crash course"
      - "coding tutorial"
      - "programming for beginners"
      - "{{channel_name}}"

  avoid:
    - Irrelevant tags
    - Competitor channel names
    - Misleading tags
    - Excessive tags (>15)

Analytics Dashboard

Channel Overview

CHANNEL ANALYTICS - LAST 28 DAYS
═══════════════════════════════════════

Views:         125,400 (+15.2%)
Watch Time:    8,250 hours (+12.8%)
Subscribers:   +2,340 (+8.5%)
Revenue:       $3,450 (+18.3%)

TOP PERFORMING VIDEOS:
┌─────────────────────────┬────────┬─────────┐
│ Video                   │ Views  │ CTR     │
├─────────────────────────┼────────┼─────────┤
│ Python Basics Tutorial  │ 45,200 │ 8.5%    │
│ VS Code Setup Guide     │ 32,100 │ 7.2%    │
│ Git for Beginners       │ 28,500 │ 6.8%    │
└─────────────────────────┴────────┴─────────┘

TRAFFIC SOURCES:
YouTube Search    ████████████░░░░ 45%
Suggested Videos  ██████████░░░░░░ 35%
External          ████░░░░░░░░░░░░ 12%
Browse Features   ██░░░░░░░░░░░░░░ 8%

Video Performance Metrics

video_metrics:
  engagement:
    - views
    - watch_time
    - average_view_duration
    - average_percentage_viewed

  discovery:
    - impressions
    - click_through_rate
    - search_ranking

  interaction:
    - likes
    - comments
    - shares
    - subscribers_gained

  retention:
    - audience_retention_curve
    - relative_retention
    - drop_off_points

  revenue:
    - estimated_revenue
    - cpm
    - rpm

Content Calendar

Publishing Schedule

content_calendar:
  weekly_schedule:
    monday:
      type: tutorial
      time: "14:00 UTC"
      duration: "15-20 min"

    wednesday:
      type: tips_tricks
      time: "14:00 UTC"
      duration: "8-12 min"

    friday:
      type: project_walkthrough
      time: "16:00 UTC"
      duration: "20-30 min"

  content_pillars:
    - Tutorials (40%)
    - Tips & Tricks (25%)
    - Tool Reviews (20%)
    - Industry News (15%)

Batch Production

batch_workflow:
  recording_day: saturday
  videos_per_session: 4

  pre_production:
    - Research topics
    - Write scripts
    - Prepare demos
    - Set up equipment

  production:
    - Record intros
    - Record main content
    - Record outros
    - B-roll footage

  post_production:
    - Edit videos
    - Create thumbnails
    - Write descriptions
    - Schedule uploads

Comment Management

Auto-Response Rules

comment_automation:
  positive_comments:
    keywords: ["great", "helpful", "thanks", "awesome"]
    actions:
      - heart_comment
      - pin_if_high_engagement

  questions:
    keywords: ["how", "what", "where", "?"]
    actions:
      - flag_for_response
      - auto_reply_common_questions

  spam_detection:
    patterns:
      - urls_in_new_accounts
      - repeated_comments
      - promotional_language
    actions:
      - hold_for_review
      - auto_remove_if_confidence_high

  engagement_prompts:
    triggers:
      - milestone_views
      - subscriber_growth
    actions:
      - pin_cta_comment
      - ask_question

Community Management

community:
  engagement_strategy:
    - Reply to comments within 24 hours
    - Heart valuable comments
    - Pin best comments
    - Create community posts

  community_posts:
    types:
      - polls
      - behind_the_scenes
      - video_teasers
      - questions
    frequency: "2-3 per week"

Playlist Management

Playlist Structure

playlists:
  - name: "Python for Beginners"
    description: "Complete Python programming course"
    ordering: manual
    visibility: public
    videos:
      - "Introduction to Python"
      - "Variables and Data Types"
      - "Control Flow"
      - "Functions"
      - "OOP Basics"

  - name: "Quick Tips"
    description: "Short coding tips under 5 minutes"
    ordering: newest_first
    visibility: public
    auto_add:
      tag: "quick_tip"

Integration Workflows

Cross-Platform Publishing

cross_platform:
  on_video_publish:
    - create_short_clip: true
    - post_to_twitter:
        include_link: true
        include_thumbnail: true
    - post_to_linkedin:
        include_link: true
    - notify_discord:
        channel: "#new-videos"
    - update_website:
        embed_video: true
        create_blog_post: true

Email Integration

email_automation:
  on_video_publish:
    - send_to_subscribers:
        template: "new_video"
        delay: "1 hour"
    - update_newsletter:
        include_in_next: true

Best Practices

  1. Consistency: Post on regular schedule
  2. Thumbnails: Invest time in eye-catching thumbnails
  3. First 30 Seconds: Hook viewers early
  4. End Screens: Promote other videos and subscribe
  5. Cards: Link to related content
  6. Descriptions: Detailed with timestamps and links
  7. Engagement: Respond to comments
  8. Analytics: Review and iterate based on data

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

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

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

Codex

36.02%
按下载量换算977

Claude

29.45%
按下载量换算799

Cursor

17.89%
按下载量换算485

Gemini CLI

9.56%
按下载量换算259

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

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。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。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