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youtube-producerYouTube 制作人

Agent Skill

youtube-producer 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

376

周安装

16

GitHub Stars

3

下载量

132
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-producer(YouTube 制作人)
来源仓库:https://github.com/kkoppenhaver/cc-skills
仓库路径:skills/youtube-producer
安装命令:
npx skills add https://github.com/kkoppenhaver/cc-skills --skill youtube-producer
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/kkoppenhaver/cc-skills --skill youtube-producer

简介

支持 YouTube 内容生产流程的信息检索。

  • 适合创作者在研究选题或竞品分析时使用。
  • 通过 npx skills add 命令安装。
  • 需核实关键词覆盖范围与结果准确性。适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。
  • youtube-producer 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

YouTube Producer

Transform vague video ideas into compelling, viral-ready YouTube content using proven frameworks from top technical creators Mark Rober and Aaron Francis.

Core Production Philosophy

The Two Essential Frameworks

Mark Rober's "Hiding the Vegetables": Make education so entertaining that viewers don't realize they're learning. Lead with spectacle, education follows naturally.

Aaron Francis's "Nugget + Packaging": Every video has an educational nugget (the technical concept) wrapped in compelling packaging (the relatable problem/story) that makes it clickable without being misleading.

Core Workflow

When a user provides a video idea, follow this production pipeline:

1. Identify the Nugget and Find the Packaging

First, extract the educational nugget - What technical concept or skill will viewers learn?

Then, find the compelling packaging by asking:

  • What problem does this solve?
  • What frustration does this address?
  • What curiosity does this satisfy?
  • What justice does this deliver?

Example transformations:

Educational NuggetCompelling Packaging
Virtual columns in MySQL"Stop freeloaders exploiting your SaaS"
Database indexing"Why your app is slow (and how to fix it)"
AI transformer architecture"How ChatGPT learned to lie"

2. Title Generation Using Proven Formulas

Apply these high-performing patterns:

Contrarian Commands (Aaron Francis):

  • "Stop using [common practice]"
  • "You don't need [assumed requirement]"
  • "[Common belief] is a lie"
  • Add parenthetical qualifiers for credibility: "(anymore)", "(for shipping)", "(or sooner)"

Superlative Hooks (Mark Rober):

  • "World's [Largest/Smallest/First] [Thing]"
  • Promises something viewers have never seen before

Question Format:

  • "Can [AI/You] Really [Seemingly Impossible Thing]?"
  • "What Happens When [Unexpected Scenario]?"
  • Poses questions viewers didn't know they had

Justice/Problem-Solving:

  • "I Used [Technology] to [Solve Annoying Problem]"
  • "How [Technology] Caught [Bad Actor]"
  • Engineering as superpower for satisfaction

Permission-Giving:

  • "You Don't Always Need [Complex Thing]"
  • Liberates viewers from dreaded complexity

3. The 30-Second Hook Structure

Combine both creators' approaches:

0-3 seconds (Visual Validation):

  • Immediately show visual proof of title's promise
  • Most impressive moment or result
  • No introductions, straight to spectacle

3-10 seconds (Establish Stakes/Problem):

  • Surface problem viewers didn't know they had
  • Create "curiosity loop" that needs closing
  • Frame uncertainty: "We're not sure if this will work..."

10-20 seconds (Identity & Credibility):

  • "If you're a [target audience]..."
  • Brief credibility marker
  • Why they should trust you

20-30 seconds (Promise & Roadmap):

  • Clear promise of what they'll gain
  • Preview the journey (not the answer)
  • Pattern interrupt: "But first..." or "However..."

4. Video Structure (The Three-Act Journey)

Act 1: Hook & Personal Stakes (0-2 minutes)

  • Open with spectacle or problem
  • Establish personal connection/frustration
  • Character introduction (name your subjects/tools)
  • Set expectations without revealing outcome

Act 2: The Journey (60-70% of video)

  • Document process including failures (Super Mario Effect)
  • Chunk into 2-3 minute segments with visual variety
  • Alternate high-energy reveals with educational explanations
  • Show iterations and problem-solving
  • Weave education naturally into narrative
  • Include "breathing room" after complex concepts

Act 3: Climactic Payoff (Final 20%)

  • Deliver the big reveal
  • Perspective shift (frustration to admiration)
  • Broader implications/lessons
  • Circle back to opening question
  • Single, clear call-to-action

5. YouTube Shorts Extraction

For each main video, identify 3-5 short moments:

The Hook Short (15-30s):

  • Most shocking moment without context
  • Title: Question the main video answers

The Correction Short (30-45s):

  • "Stop doing [common practice]"
  • Quick explanation of why it's wrong
  • Tease full solution in main video

The Permission Short (30-45s):

  • "You don't need [complex thing]"
  • Show simpler alternative
  • Link to full explanation

The Justice/Result Short (15-30s):

  • Show the satisfying payoff
  • Package thief getting glittered
  • AI catching the scammer

Thumbnail Design Principles

Mark Rober's 3-Element Rule

  • Subject (the build/experiment) - dominates frame
  • Creator (relatively small) - 57% happy/confident expression
  • Context/scale reference - shows magnitude

Aaron Francis's Clean Technical Style

  • Clean code/terminal screenshots
  • Minimal text overlay
  • Professional without desperation
  • Tool logos when relevant

Title-Thumbnail Synergy

  • Thumbnail poses visual riddle
  • Title completes the thought
  • Together create "intensified curiosity"
  • Never duplicate information

Production Philosophy

Quality Over Quantity

  • Mark Rober: ~10 videos/year, some taking 3+ years
  • Aaron Francis: Only content you're genuinely excited about
  • Focus: "For something to be remarkable, it has to be able to be remarked about"

The "Try Hard" Differentiator

  • High production value signals content value
  • The "1000 little things" compound into quality perception
  • Clean setup, hidden desktop icons, good lighting
  • Be yourself, but amplified 2 notches for camera energy

Character-Driven Technical Content

  • Name your AI models like Mark names squirrels
  • Document failures as part of the journey
  • Make viewers co-explorers, not students
  • Show personality and vulnerability

Retention Optimization Techniques

Visual Variety (The Chunk Method)

  • Switch between talking head and screen every 2-3 minutes
  • Creates natural engagement checkpoints
  • Prevents visual fatigue
  • Maintains "dopamine pumping"

Open Loops & Pattern Interrupts

  • Promise multiple payoffs throughout
  • "But there's a problem..." moments
  • Tease coolest part early
  • Use "However," "Yet," "But" for transitions
  • Never reveal answer immediately

The Super Mario Effect

  • Focus on the goal (princess), not failures (pits)
  • Show failures as learning, not embarrassment
  • Make content feel like playing, not testing
  • Results in 2.5x more persistence, 68% higher success

Creator Framework Selection

Use specific creator approaches based on content type:

Mark Rober Style for:

  • Large builds and experiments
  • Visual spectacle content
  • Family-friendly education
  • Justice/satisfaction narratives
  • See references/mark-rober-framework.md

Aaron Francis Style for:

  • Developer/technical education
  • Database and backend topics
  • Controversial technical opinions
  • Business problem solving
  • See references/aaron-francis-framework.md

Algorithm Alignment Without Obsession

Do This:

  • Clickable titles with genuine value
  • 30-second hook or lose viewers
  • Visual variety for retention
  • Consistent publishing schedule

Don't Do This:

  • Misleading clickbait
  • Shocked face thumbnails
  • Content you don't care about
  • Cynicism or excessive sarcasm

Remember Aaron's warning: "You can produce videos that do super well that you hate, and your insides will be hollowed out."

Key Principles for Technical Content

  1. Start with title and thumbnail, not the content
  2. Lead with problem or spectacle, not the solution
  3. Make viewers co-explorers, not students
  4. Document the journey, including failures
  5. Hide vegetables - education wrapped in entertainment
  6. Character-driven narratives - name your tools/models
  7. Visual variety - chunk into 2-3 minute segments
  8. Quality over quantity - remarkable content only
  9. Be authentically excited about your topics
  10. Build trust through consistency and honesty

Resources

For detailed implementation, see:

  • references/mark-rober-framework.md - Complete Rober methodology
  • references/aaron-francis-framework.md - Francis's technical approach
  • references/script-templates.md - 5 proven script structures
  • references/hook-examples.md - 50+ hook formulas
  • references/title-formulas.md - Title patterns by category
  • scripts/title_generator.py - Generate titles with scoring
  • scripts/hook_analyzer.py - Evaluate hook effectiveness
  • scripts/shorts_extractor.py - Extract shorts from outlines

适合场景

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02

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平台分布

Codex

33.53%
按下载量换算44

Claude

30.79%
按下载量换算41

Cursor

18.38%
按下载量换算24

Gemini CLI

8.97%
按下载量换算12

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权限和风险

执行命令

安装流程涉及命令执行,可能通过 npx skills add https://github.com/kkoppenhaver/cc-skills --skill youtube-producer 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

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