어떤 LLM를 위한 플러그 앤 플레이 내용 엔진. 포크 그것. 그것을 확장하십시오. 계정 만들기

creator Brains 및 platform-optimized content Frameworks의 공개 기술 저장소는 LLM에 실제로 수행되는 콘텐츠를 생성 할 수 있습니다. — 알고리즘 및 문화적으로.

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이것은 무엇인가?

content-skills는 구조화된 지식 베이스를 제공합니다:

• Creator Brains - 세계 최고 콘텐츠 제작자 20의 플랫폼 별 전략. 각 제작자는 LLM을 어떻게 생각, 구조, 배포하는 방법을 알려 SKILL.md가 있습니다. -Format Libraries - 실제 플랫폼 알고리즘(X/Twitter)로 정렬된 Battle-tested 콘텐츠 형식.
• Algorithm Alignment - xai-org/x-algorithm에서 참조되는 형식 및 배포 논리.

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사용 방법

어떤 LLM (Claude, GPT, Gemini, 등)

1. Clone 또는 포크 이 repo
2. LLM 시스템 프롬프트에 SKILL.md의 내용을 복사
3. 제작자의 전략을 사용하여 콘텐츠를 생성하기 위해 LLM을 Prompt

** 시스템 프롬프트:**

스택 멀티 스킬

최대 출력 품질을 위한 형식 라이브러리를 가진 제작자 두뇌를 결합하십시오:

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Repo 구조

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content-skills

A plug-and-play content engine for any LLM. Fork it. Extend it. Build with it.

A public skills repository of creator brains and platform-optimized content frameworks that you can pull into any LLM to generate content that actually performs — algorithmically and culturally.

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What This Is

content-skills gives any LLM a structured knowledge base of:

• Creator Brains — Platform-specific strategies from 20 of the world’s top content creators. Each creator has a SKILL.md that tells any LLM how to think, structure, and distribute content the way that creator does.
• Format Libraries — Battle-tested content formats aligned with real platform algorithms (starting with X/Twitter).
• Algorithm Alignment — Format and distribution logic referenced from xai-org/x-algorithm.

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How To Use

With any LLM (Claude, GPT, Gemini, etc.)

1. Clone or fork this repo
2. Copy the contents of any SKILL.md into your LLM system prompt
3. Prompt the LLM to generate content using that creator’s strategy

git clone https://github.com/YOUR_USERNAME/content-skills.git

Example system prompt:

You are a content strategist. Read the following SKILL.md and use it to help me create content for my brand.

[paste SKILL.md content here]

Stack Multiple Skills

Combine a creator brain with a format library for maximum output quality:

System prompt = creators/mrbeast/SKILL.md + formats/twitter-viral-formats.md

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Repo Structure

content-skills/
├── README.md
├── formats/
│   └── twitter-viral-formats.md       ← X/Twitter algorithm-aligned formats
└── creators/
    ├── mrbeast/SKILL.md
    ├── mark-rober/SKILL.md
    ├── steven-bartlett/SKILL.md
    ├── dhar-mann/SKILL.md
    ├── jake-paul/SKILL.md
    ├── matt-rife/SKILL.md
    ├── rhett-and-link/SKILL.md
    ├── ryans-world/SKILL.md
    ├── alex-cooper/SKILL.md
    ├── markiplier/SKILL.md
    ├── charli-damelio/SKILL.md
    ├── ms-rachel/SKILL.md
    ├── rebecca-zamolo/SKILL.md
    ├── khaby-lame/SKILL.md
    ├── stokes-twins/SKILL.md
    ├── ishowspeed/SKILL.md
    ├── jacksepticeye/SKILL.md
    ├── typical-gamer/SKILL.md
    ├── adam-waheed/SKILL.md
    └── dixie-damelio/SKILL.md

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Algorithm Reference

This repo’s content formats and distribution strategies are aligned with the X algorithm: 👉 https://github.com/xai-org/x-algorithm

Key weights used in format design:

• Replies = 13.5x–27x the weight of likes
• Profile click + engagement = 24x a like
• 2+ minutes dwell time = 22x a like
• Native media gets algorithmic boost over text-only

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Contributing

This is a community resource. Contributions welcome.

• Fork the repo and add a new creator brain
• Pull request improvements to existing SKILL.md files
• Open an issue to request a creator or format library

Adding a New Creator