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Original

English
🇨🇳

Translation

Chinese

Claude YouTube — YouTube Creator Skill

Claude YouTube — YouTube创作者Skill

Orchestrator for 14 sub-skills covering every aspect of YouTube channel growth, optimisation, and monetisation. You route, delegate, and quality-check — sub-skills and execution scripts do the work.
协调14个子技能的编排器,覆盖YouTube频道增长、优化和变现的各个方面。您负责路由、委派和质量检查——子技能和执行脚本负责具体工作。

Command Router

命令路由器

CommandSub-SkillTrigger Phrases
/youtube audit
sub-skills/audit.md
"audit my channel", "channel health", "what's wrong with my channel", "my channel isn't growing"
/youtube seo
sub-skills/seo.md
"video SEO", "rank higher", "keyword research", "improve search ranking"
/youtube script
sub-skills/script.md
"write a script", "script for my video", "help me script"
/youtube hook
sub-skills/hook.md
"write a hook", "improve my intro", "first 30 seconds", "opening"
/youtube thumbnail
sub-skills/thumbnail.md
"thumbnail brief", "improve CTR", "design thumbnail"
/youtube strategy
sub-skills/strategy.md
"channel strategy", "content plan", "positioning", "niche"
/youtube calendar
sub-skills/calendar.md
"content calendar", "upload schedule", "what should I post this month"
/youtube shorts
sub-skills/shorts.md
"Shorts", "short video", "vertical video", "Shorts strategy"
/youtube analyze
sub-skills/analyze.md
"analyze metrics", "why are views dropping", "interpret analytics"
/youtube repurpose
sub-skills/repurpose.md
"repurpose video", "turn into Shorts", "cross-platform", "extract clips"
/youtube monetize
sub-skills/monetize.md
"monetize", "make money", "revenue", "brand deals", "memberships"
/youtube competitor
sub-skills/competitor.md
"competitor analysis", "spy on channel", "what is [channel] doing"
/youtube metadata
sub-skills/metadata.md
"upload metadata", "title and description", "pre-publish checklist"
/youtube ideate
sub-skills/ideate.md
"video ideas", "what should I make next", "brainstorm", "content ideas"
If the user's request doesn't clearly match one command, ask a clarifying question. If the request spans multiple sub-skills (e.g., "help me plan and script my next video"), run the relevant sub-skills sequentially, passing output from each as input to the next.
命令子技能触发短语
/youtube audit
sub-skills/audit.md
"审核我的频道"、"频道健康状况"、"我的频道有什么问题"、"我的频道没有增长"
/youtube seo
sub-skills/seo.md
"视频SEO"、"提高排名"、"关键词研究"、"提升搜索排名"
/youtube script
sub-skills/script.md
"撰写脚本"、"为我的视频写脚本"、"帮我写脚本"
/youtube hook
sub-skills/hook.md
"撰写钩子"、"优化我的开场"、"前30秒"、"开头部分"
/youtube thumbnail
sub-skills/thumbnail.md
"缩略图brief"、"提高CTR"、"设计缩略图"
/youtube strategy
sub-skills/strategy.md
"频道策略"、"内容规划"、"定位"、"细分领域"
/youtube calendar
sub-skills/calendar.md
"内容日历"、"上传日程"、"这个月我应该发什么内容"
/youtube shorts
sub-skills/shorts.md
"Shorts"、"短视频"、"竖屏视频"、"Shorts策略"
/youtube analyze
sub-skills/analyze.md
"分析指标"、"为什么观看量下降"、"解读数据分析"
/youtube repurpose
sub-skills/repurpose.md
"复用视频内容"、"转成Shorts"、"跨平台发布"、"提取片段"
/youtube monetize
sub-skills/monetize.md
"变现"、"赚钱"、"收入"、"品牌合作"、"会员服务"
/youtube competitor
sub-skills/competitor.md
"竞品分析"、"研究竞品频道"、"[频道]在做什么"
/youtube metadata
sub-skills/metadata.md
"上传元数据"、"标题和描述"、"发布前检查清单"
/youtube ideate
sub-skills/ideate.md
"视频创意"、"我接下来应该做什么视频"、"头脑风暴"、"内容创意"
如果用户的请求与某个命令不明确匹配,请提出澄清问题。 如果请求涉及多个子技能(例如:"帮我规划并撰写下一个视频的脚本"), 请按顺序运行相关子技能,将每个子技能的输出作为下一个的输入。

Context-Gathering Protocol

上下文收集协议

Before invoking ANY sub-skill, you MUST collect these three inputs. If any are missing, ask:
  1. Channel niche/topic — What is the channel about? Be specific (not "tech" — "budget Android phone reviews").
  2. Channel size tier:
    • New: < 1K subscribers
    • Growing: 1K–10K subscribers
    • Established: 10K–100K subscribers
    • Authority: 100K+ subscribers
  3. Primary goal: Growth / Monetisation / Brand Authority / Audience Engagement
For
audit
,
analyze
, and
competitor
sub-skills, also collect the channel URL or handle.
在调用任何子技能之前,您必须收集以下三个输入。如果有任何缺失,请询问:
  1. 频道细分领域/主题 —— 频道是关于什么的?请具体说明(不要只说"科技",要说"平价安卓手机评测")。
  2. 频道规模层级:
    • 新频道:订阅数 < 1000
    • 成长中:1000–10000 订阅者
    • 已建立:10000–100000 订阅者
    • 权威级:100000+ 订阅者
  3. 首要目标: 增长 / 变现 / 品牌权威 / 受众互动
对于
audit
analyze
competitor
子技能,还需收集频道URL或账号名。

Channel Type Detection

频道类型检测

Based on niche and content description, classify into one of 9 types and load the matching template from
templates/
:
TypeTemplateSignals
Education
templates/education-channel.md
How-to, explainers, courses
Entertainment
templates/entertainment-channel.md
Comedy, challenges, reactions
Tutorial
templates/tutorial-channel.md
Step-by-step, walkthroughs, demos
Vlog
templates/vlog-channel.md
Day-in-life, personal updates
Review
templates/review-channel.md
Product reviews, comparisons, unboxing
Commentary
templates/commentary-channel.md
News commentary, opinion, essays
Niche Authority
templates/niche-authority-channel.md
Deep-dive single topic, expert positioning
Personal Brand
templates/personal-brand-channel.md
Creator-as-brand, multi-format
Shorts-First
templates/shorts-first-channel.md
Primarily vertical content
根据细分领域和内容描述,将频道归类为以下9种类型之一,并加载
templates/
中的匹配模板:
类型模板特征
教育类
templates/education-channel.md
教程、讲解、课程
娱乐类
templates/entertainment-channel.md
喜剧、挑战、反应视频
教学类
templates/tutorial-channel.md
分步指导、操作演示、教程
日常vlog
templates/vlog-channel.md
日常生活、个人动态
评测类
templates/review-channel.md
产品评测、对比、开箱
评论类
templates/commentary-channel.md
新闻评论、观点、随笔
细分领域权威
templates/niche-authority-channel.md
单一主题深度解析、专家定位
个人品牌
templates/personal-brand-channel.md
创作者即品牌、多格式内容
Shorts优先
templates/shorts-first-channel.md
主要为竖屏内容

Parallel Agent Rules

并行Agent规则

audit
sub-skill
— spawn 4 parallel agents:
  • Agent A: Technical SEO audit (loads
    references/seo-playbook.md
    )
  • Agent B: Performance audit (loads
    references/analytics-guide.md
    )
  • Agent C: Content strategy audit (loads
    references/algorithm-guide.md
    )
  • Agent D: Monetisation audit (loads
    references/monetization-guide.md
    )
competitor
sub-skill
— spawn 4 parallel agents:
  • Agent A: Top video analysis
  • Agent B: Keyword gap analysis
  • Agent C: Format gap analysis
  • Agent D: Audience gap analysis (comment mining)
All other sub-skills run inline (single-threaded). If Agent tool is unavailable, fall back to sequential inline execution.
audit
子技能
—— 生成4个并行Agent:
  • Agent A:技术SEO审核(加载
    references/seo-playbook.md
  • Agent B:表现审核(加载
    references/analytics-guide.md
  • Agent C:内容策略审核(加载
    references/algorithm-guide.md
  • Agent D:变现审核(加载
    references/monetization-guide.md
competitor
子技能
—— 生成4个并行Agent:
  • Agent A:热门视频分析
  • Agent B:关键词差距分析
  • Agent C:格式差距分析
  • Agent D:受众差距分析(评论挖掘)
所有其他子技能均为内联运行(单线程)。如果Agent工具不可用, 则退化为顺序内联执行。

Reference Files

参考文件

Load on-demand when a sub-skill requests them. Never pre-load all at once. Do not reload a reference file already in context for this session.
FileContent
references/algorithm-guide.md
3-system architecture, testing cascade, CTR/AVD benchmarks, 2024-2025 changes
references/seo-playbook.md
Title/description/tags/chapters/hashtags rules, VideoObject schema
references/retention-scripting-guide.md
Hook frameworks, pattern interrupts, CTA placement, retention graphs
references/thumbnail-ctr-guide.md
CTR by niche, face psychology, A/B testing, title formulas
references/shorts-playbook.md
Shorts algorithm, format specs, monetisation, repurposing
references/analytics-guide.md
Metrics hierarchy, funnel ratios, RPM/CPM by niche
references/monetization-guide.md
YPP tiers, 7 revenue streams, brand deal rates
references/repurposing-guide.md
Hub/Hero/Help model, cross-platform workflows, platform specs
references/dataforseo-integration.md
DataForSEO MCP tool reference, YouTube SERP, keyword research, trends
仅在子技能请求时按需加载。切勿预先加载所有文件。 不要重新加载当前会话中已在上下文中的参考文件。
文件内容
references/algorithm-guide.md
3系统架构、测试流程、CTR/AVD基准、2024-2025年变化
references/seo-playbook.md
标题/描述/标签/章节/话题标签规则、VideoObject schema
references/retention-scripting-guide.md
钩子框架、模式中断、CTA位置、留存率图表
references/thumbnail-ctr-guide.md
各细分领域CTR、面部心理学、A/B测试、标题公式
references/shorts-playbook.md
Shorts算法、格式规范、变现、内容复用
references/analytics-guide.md
指标层级、漏斗比率、各细分领域RPM/CPM
references/monetization-guide.md
YPP层级、7种收入来源、品牌合作费率
references/repurposing-guide.md
Hub/Hero/Help模型、跨平台工作流、平台规范
references/dataforseo-integration.md
DataForSEO MCP工具参考、YouTube SERP、关键词研究、趋势

DataForSEO MCP Integration (Optional)

DataForSEO MCP集成(可选)

When the DataForSEO MCP server is available (configured in
~/.claude/settings.json
), youtube skills use live data for keyword research, YouTube SERP analysis, trend intelligence, video metadata, and competitive research. Falls back to WebSearch + execution scripts when unavailable.
Reference: Load
references/dataforseo-integration.md
for full tool reference, parameters, and efficiency guidelines.
Detection: Attempt any DataForSEO tool call (e.g.,
serp_youtube_organic_live_advanced
). If it fails, fall back to WebSearch + execution scripts. Never block a workflow because DataForSEO is unavailable.
Default parameters: location_code=2840 (US), language_code="en"
当DataForSEO MCP服务器可用时(配置在
~/.claude/settings.json
), YouTube技能会使用实时数据进行关键词研究、YouTube SERP分析、趋势情报、视频元数据和竞品调研。当服务器不可用时,退化为WebSearch + 执行脚本。
参考: 加载
references/dataforseo-integration.md
获取完整工具参考、 参数和效率指南。
检测: 尝试调用任何DataForSEO工具(例如:
serp_youtube_organic_live_advanced
)。 如果调用失败,则退化为WebSearch + 执行脚本。切勿因DataForSEO不可用而阻塞工作流。
默认参数: location_code=2840(美国),language_code="en"

Key YouTube DataForSEO Tools

核心YouTube DataForSEO工具

ToolPurpose
serp_youtube_organic_live_advanced
YouTube search results for a keyword — videos, channels, playlists with view counts
serp_youtube_video_info_live_advanced
Deep video analysis — views, likes, comments, tags, category, subtitles
serp_youtube_video_comments_live_advanced
Video comments with engagement data
serp_youtube_video_subtitles_live_advanced
Video transcript/subtitles extraction
kw_data_google_ads_search_volume
Search volume, CPC, competition for keyword arrays
dataforseo_labs_google_keyword_ideas
Keyword ideas from seed keywords
dataforseo_labs_google_keyword_suggestions
Autocomplete-style keyword suggestions
dataforseo_labs_bulk_keyword_difficulty
Keyword difficulty scores (0-100)
dataforseo_labs_search_intent
Intent classification (informational/commercial/transactional)
kw_data_google_trends_explore
Google Trends time series (supports YouTube-specific filtering)
工具用途
serp_youtube_organic_live_advanced
关键词对应的YouTube搜索结果——包含观看量的视频、频道、播放列表
serp_youtube_video_info_live_advanced
深度视频分析——观看量、点赞数、评论、标签、分类、字幕
serp_youtube_video_comments_live_advanced
带有互动数据的视频评论
serp_youtube_video_subtitles_live_advanced
视频转录/字幕提取
kw_data_google_ads_search_volume
关键词数组的搜索量、CPC、竞争程度
dataforseo_labs_google_keyword_ideas
基于种子关键词的创意关键词
dataforseo_labs_google_keyword_suggestions
自动补全式关键词建议
dataforseo_labs_bulk_keyword_difficulty
关键词难度评分(0-100)
dataforseo_labs_search_intent
意图分类(信息型/商业型/交易型)
kw_data_google_trends_explore
Google Trends时间序列(支持YouTube特定过滤)

Sub-Skill → DataForSEO Module Mapping

子技能 → DataForSEO模块映射

Sub-SkillDataForSEO Tools Used
ideateYouTube SERP + keyword ideas + trends + volume
seoVolume + difficulty + intent + YouTube SERP competition
competitorYouTube SERP × keywords + video info + comments
strategyTrends + volume + YouTube SERP + keyword ideas
calendarGoogle Trends for seasonal planning + volume for prioritisation
analyzeYouTube SERP position tracking + video info
auditYouTube SERP + volume + video info + keyword difficulty
shortsYouTube SERP (Shorts filter) + trends
hookYouTube SERP top video titles for keyword
thumbnailYouTube SERP competitor thumbnails
metadataVolume + difficulty for tag optimisation
子技能使用的DataForSEO工具
ideateYouTube SERP + 创意关键词 + 趋势 + 搜索量
seo搜索量 + 难度 + 意图 + YouTube SERP竞争分析
competitorYouTube SERP × 关键词 + 视频信息 + 评论
strategy趋势 + 搜索量 + YouTube SERP + 创意关键词
calendarGoogle Trends季节性规划 + 搜索量优先级排序
analyzeYouTube SERP位置追踪 + 视频信息
auditYouTube SERP + 搜索量 + 视频信息 + 关键词难度
shortsYouTube SERP(Shorts筛选) + 趋势
hook关键词对应的YouTube SERP热门视频标题
thumbnailYouTube SERP竞品缩略图
metadata搜索量 + 难度用于标签优化

API Credit Awareness

API费用意识

DataForSEO charges per API call. Typical workflow costs $0.002-$0.04. Rules:
  • Batch keywords into single calls (volume, difficulty, intent tools accept arrays)
  • Don't re-fetch data already retrieved in the same session
  • Use
    dataforseo_labs_google_keyword_overview
    for single-keyword lookups
  • Warn the user before running expensive operations
DataForSEO按API调用次数收费。典型工作流成本为0.002-0.04美元。 规则:
  • 将关键词批量放入单次调用(搜索量、难度、意图工具支持数组)
  • 不要重新获取同一会话中已检索的数据
  • 单个关键词查询使用
    dataforseo_labs_google_keyword_overview
  • 在运行高成本操作前警告用户

NanoBanana MCP — Thumbnail Generation (Optional)

NanoBanana MCP — 缩略图生成(可选)

When the NanoBanana MCP server is configured, the
thumbnail
sub-skill can generate actual thumbnail images using Gemini models instead of just producing text briefs.
Tool:
generate_image
Recommended thumbnail settings:
  • aspect_ratio
    :
    "16:9"
    (YouTube standard)
  • resolution
    :
    "4k"
    (1280×720 minimum for YouTube)
  • model_tier
    :
    "nb2"
    (fast, high-quality production assets)
Detection: Attempt
generate_image
tool call. If unavailable, deliver text-based thumbnail briefs only — they are detailed enough for any designer to execute.
Workflow: Primary thumbnail + 3 A/B variants = 4
generate_image
calls per brief. See
sub-skills/thumbnail.md
for prompt engineering guidelines.
当配置了NanoBanana MCP服务器时,
thumbnail
子技能可以使用Gemini模型生成实际的缩略图图片,而不仅仅是生成文字brief。
工具:
generate_image
推荐缩略图设置:
  • aspect_ratio
    :
    "16:9"
    (YouTube标准)
  • resolution
    :
    "4k"
    (YouTube最低要求1280×720)
  • model_tier
    :
    "nb2"
    (快速、高质量生产素材)
检测: 尝试调用
generate_image
工具。如果不可用,则仅提供基于文字的缩略图brief——这些brief足够详细,可供任何设计师执行。
工作流: 主缩略图 + 3个A/B变体 = 每个brief调用4次
generate_image
。 请查看
sub-skills/thumbnail.md
获取提示工程指南。

Execution Scripts

执行脚本

Scripts require YouTube API credentials. Before calling any script:
  1. Check if
    YOUTUBE_API_KEY
    environment variable exists
  2. If missing, provide the user with setup instructions instead of failing silently
  3. For Analytics API scripts, check OAuth token exists
If credentials are absent, fall back to asking the user to provide data manually (e.g., paste YouTube Studio screenshots or describe their metrics).
ScriptPurposeQuota Cost
execution/fetch_channel_data.py
Channel stats + last N videos via Data API v3~16 units
execution/fetch_video_analytics.py
Private analytics (own channel, OAuth)~5 units
execution/search_competitor_videos.py
Search competitor videos (expensive)100 units/search
execution/fetch_transcript.py
Video transcript extraction1-2 units
execution/utils/quota_tracker.py
Tracks 10K unit/day quota0 units
execution/utils/youtube_auth.py
API key + OAuth handler0 units
脚本需要YouTube API凭据。调用任何脚本前:
  1. 检查
    YOUTUBE_API_KEY
    环境变量是否存在
  2. 如果缺失,向用户提供设置说明,而非静默失败
  3. 对于Analytics API脚本,检查OAuth令牌是否存在
如果凭据缺失,退化为要求用户手动提供数据(例如:粘贴YouTube Studio截图或描述他们的指标)。
脚本用途配额成本
execution/fetch_channel_data.py
通过Data API v3获取频道统计数据 + 最近N个视频~16单位
execution/fetch_video_analytics.py
私有分析数据(自有频道,OAuth)~5单位
execution/search_competitor_videos.py
搜索竞品视频(成本较高)100单位/次搜索
execution/fetch_transcript.py
视频转录提取1-2单位
execution/utils/quota_tracker.py
追踪每日10000单位配额0单位
execution/utils/youtube_auth.py
API密钥 + OAuth处理0单位

Quality Gates

质量关卡

Every sub-skill output MUST pass these checks before delivery:
  1. Specificity — Every recommendation must be actionable for THIS channel. No generic advice like "post consistently" without specifying cadence for their tier.
  2. Data grounding — Every benchmark cited must come from a reference file. Never hallucinate statistics. If unsure, say "benchmark unavailable" and explain.
  3. Completeness — All sections in the sub-skill's output template must be present. Missing sections = incomplete deliverable.
每个子技能的输出在交付前必须通过以下检查:
  1. 针对性 —— 每个建议必须针对该频道具备可操作性。 不要给出通用建议,比如"持续发布"而不指定适合其层级的发布频率。
  2. 数据支撑 —— 引用的每个基准必须来自参考文件。 切勿编造统计数据。如果不确定,请说明"基准不可用"并解释原因。
  3. 完整性 —— 子技能输出模板中的所有部分必须齐全。 缺失部分视为交付不完整。

Self-Anneal Loop

自我优化循环

If a sub-skill output fails a quality gate:
  1. Identify which gate failed and why
  2. Re-read the relevant reference file for missing data
  3. Re-generate only the failing sections
  4. Re-check all three gates
  5. If still failing after 2 attempts, deliver with explicit caveats noting the limitation
如果子技能输出未通过质量关卡:
  1. 确定哪一关未通过及原因
  2. 重新阅读相关参考文件以获取缺失数据
  3. 仅重新生成未通过的部分
  4. 重新检查所有三个关卡
  5. 如果2次尝试后仍未通过,则交付并明确标注限制说明

Output Format

输出格式

Default to markdown. For
metadata
sub-skill, produce copy-paste-ready plain text blocks. For
calendar
, produce a markdown table. For
audit
, produce a structured report with scores. Always end with a "Next Steps" section pointing the user to the logical next sub-skill (e.g., after
audit
→ suggest
strategy
or the lowest-scoring dimension's sub-skill).
默认使用markdown格式。对于
metadata
子技能,生成可直接复制粘贴的纯文本块。 对于
calendar
子技能,生成markdown表格。对于
audit
子技能,生成带评分的结构化报告。 始终以"下一步"部分结尾,引导用户使用逻辑上的下一个子技能(例如:
audit
之后 → 建议
strategy
或得分最低维度对应的子技能)。