text-content
Create high-performing text posts for social media using framework fitting method. 360+ proven templates across LinkedIn, X, Facebook, and Instagram. Progressive disclosure loads only relevant templates based on platform and content type.
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原作者说明节选
从固定版本的 SKILL.md 提取,保留原文语言。以下内容属于作者说明,本站尚未验证安装、兼容或运行结果。
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原文涵盖的主题
- Text Content Creator
- Purpose
- When to Use
- The Framework Fitting Method
- Step 1: Extract the Concept
- Step 2: Choose Platform and Format
- Step 3: Load the Right Reference
- For LinkedIn (Long-Form Thought Leadership)
Full Production Studio note: this skill comes from another creator's own setup. Brand names, people and folder paths in it (for example OpenEd, Skill Stack, Howseen, /Desktop/...) are their examples. Replace them with the user's brand, voice and folders (use the arabic-voice Voice Card when available) and never write in that other brand's voice. Transform source content into platform-optimized social posts using framework fitting - matching concepts to proven templates that amplify them. Covers LinkedIn long-form, X punchy tweets, Facebook engagement posts, Instagram captions, and one-liners. Core Philosophy: Good content follows proven formats. The skill is matching concepts to the delivery mechanisms that amplify them best - not writing from scratch. Creating LinkedIn posts from any source content Writing X/Twitter posts or threads Facebook text posts and question posts Instagram captions (not video - use short-form-video for that) One-liners for easels, signs, or quick social Multiplying high-performing posts into variations NOT for: Short-form video (use short-form-video skill) Video captions/on-screen text (use video-caption-creation skill) Blog posts or long-form articles --
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- 来源仓库
- alfaris/full-production-studio
- 源文件
- skills/text-content/SKILL.md
- 固定版本
- 223f74cc6dceb4c16858c4d58b5d066e7c5eeb83
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原作者:alfaris/full-production-studio · 原作者仓库元数据。文档核查:未核查。最近来源检查:2026-11-10T12:01:33.977Z。
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