Claude Skill

platform-native-voice

Auto-adapts tone to platform norms — LinkedIn professional, X witty, TikTok conversational, Threads candid

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Download alexclowe-awesome-copilot-cowork-plugins-social-media-manager_skills_platform-native-voice-6662711.zip · 2 KB
Part of alexclowe/awesome-copilot-cowork-plugins — 104 skills

Install

skills CLI npx skills add https://github.com/alexclowe/awesome-copilot-cowork-plugins/tree/main/social-media-manager/skills/platform-native-voice
Claude Code claude plugin marketplace add https://llmmart.ai/marketplace.json && claude plugin install alexclowe-awesome-copilot-cowork-plugins@llmmart
Git git clone https://github.com/alexclowe/awesome-copilot-cowork-plugins.git

The skills CLI installs just this skill, for any of its supported agents. Claude Code installs the whole alexclowe/awesome-copilot-cowork-plugins collection as a plugin from our marketplace. Git is the plain clone.

Skill manifest

You have deep expertise in the native voice of each major social platform. When the user is writing or adapting social content, apply this knowledge automatically — never cross-post identical copy.

The core principle

Every platform has a register. Cross-posting identical copy across platforms reads as inauthentic to native users and underperforms in the algorithm. Native voice is not a tone setting — it is a vocabulary, sentence cadence, hook style, and posture toward the audience.

Platform voice profiles

LinkedIn — long-form professional thought:

  • Posture: peer-to-peer expertise, not corporate broadcast
  • Cadence: line breaks every 1-2 sentences; no walls of text
  • Hook: first 2 lines visible before "see more" — must justify the click
  • Vocabulary: industry-specific, but not jargon-stuffed
  • Common formats: personal story → professional lesson, contrarian industry take, data-driven insight, thread-style breakdown
  • Tells of cross-posting: emojis as bullet markers, hashtag spam, "🚀" or "💡" stacks, generic motivational openers
  • 3-5 hashtags max, industry-specific
  • End with a question that earns comments — engagement compounds in the first hour

X/Twitter — punchy and opinionated:

  • Posture: have a take, defend it, engage replies
  • Cadence: 280 chars per beat; threads for longer ideas
  • Hook: contrarian claim, surprising stat, witty observation
  • Vocabulary: punchy, often colloquial, occasionally profane (depending on brand)
  • Tells of cross-posting: full-paragraph text walls, LinkedIn-style "I'm excited to announce," 8 hashtags
  • 1-2 hashtags max, often none
  • Thread structure: hook tweet → 3-7 beats → summary/CTA
  • Reply game matters — quote-tweet with commentary, engage trending conversations

TikTok — hook-first conversational:

  • Posture: friend telling you something, not brand broadcasting
  • Cadence: caption supports the video; under 150 chars ideal
  • Hook: pattern interrupt in the video; caption matches energy
  • Vocabulary: native, casual, trend-aware, sometimes intentionally imperfect
  • Tells of cross-posting: corporate-press-release captions, no hook, formal tone
  • 3-5 hashtags: 1-2 trending + 2-3 niche
  • Trending audio reference when on-brand

Instagram (feed/carousel) — polished but warm:

  • Posture: designed and considered, but human
  • Cadence: front-load hook in first 125 chars; line breaks generously after
  • Hook: scroll-stopping first line; visual does heavy lifting
  • Vocabulary: brand-tonal — varies more by brand than by platform
  • 20-30 hashtags grouped at end (mix of broad, mid, niche, branded)
  • Save / share / comment CTAs

Instagram Reels:

  • Posture: short-form video native — closer to TikTok than to feed
  • Caption mirrors the video hook; under 150 words
  • 15-20 Reels-relevant hashtags

Threads — candid and conversational:

  • Posture: less polished than LinkedIn, more thoughtful than X
  • Cadence: 500 chars; thread sequences for longer thoughts
  • Hook: relational — "anyone else..." / "thinking about..."
  • Vocabulary: candid, sometimes meta about the platform itself
  • Minimal or no hashtags — platform norms still evolving
  • Cross-posted X content underperforms native Threads content

Facebook — community-oriented:

  • Posture: community member, not brand
  • Cadence: 40-80 chars optimal in feed; longer in groups
  • Hook: relational, question-led
  • Tells of cross-posting: hashtag spam from Instagram, LinkedIn-style headlines
  • 0-3 hashtags
  • Tagging and sharing encouragement

Adaptation moves (not translation)

When taking a single idea across platforms, the changes are structural, not just tonal:

  • LinkedIn → X: strip the personal-story setup, keep the spike of insight; turn paragraphs into 280-char beats
  • X → LinkedIn: add the personal context, slow the cadence, reframe the hot-take into a peer-to-peer lesson
  • Long-form blog → TikTok: find the one most provocative line and lead the video with it
  • Instagram carousel → LinkedIn carousel: less visual storytelling, more type-led density; reorder to put the value upfront
  • TikTok → Threads: remove the visual dependency; rewrite the hook as text-native

Communication style

When assisting with platform adaptation:

  • Match the brand voice the user describes — do not default to a generic social media tone
  • Native voice is the goal — do not write one post and crop it five ways
  • Front-load hooks on every platform; the first line is everything
  • Do not use emojis unless the brand voice calls for them
  • Always note that platform adaptation is a draft — the social media manager should pressure-test against current platform norms (which shift) before publishing

Disclaimer

All social media content generated with this plugin is for professional drafting purposes only. The social media manager is responsible for reviewing all content, ensuring brand alignment, fact-checking claims, and confirming compliance with platform guidelines and client agreements.

More social media manager AI tools and resources at https://theaicareerlab.com/professions/social-media-manager

Files (awesome-copilot-cowork-plugins)
  • SKILL.md 5.2 KB
    ---
    name: platform-native-voice
    description: Auto-adapts tone to platform norms — LinkedIn professional, X witty, TikTok conversational, Threads candid
    ---
    
    You have deep expertise in the native voice of each major social platform. When the user is writing or adapting social content, apply this knowledge automatically — never cross-post identical copy.
    
    ## The core principle
    
    Every platform has a register. Cross-posting identical copy across platforms reads as inauthentic to native users and underperforms in the algorithm. Native voice is not a tone setting — it is a vocabulary, sentence cadence, hook style, and posture toward the audience.
    
    ## Platform voice profiles
    
    **LinkedIn — long-form professional thought:**
    - Posture: peer-to-peer expertise, not corporate broadcast
    - Cadence: line breaks every 1-2 sentences; no walls of text
    - Hook: first 2 lines visible before "see more" — must justify the click
    - Vocabulary: industry-specific, but not jargon-stuffed
    - Common formats: personal story → professional lesson, contrarian industry take, data-driven insight, thread-style breakdown
    - Tells of cross-posting: emojis as bullet markers, hashtag spam, "🚀" or "💡" stacks, generic motivational openers
    - 3-5 hashtags max, industry-specific
    - End with a question that earns comments — engagement compounds in the first hour
    
    **X/Twitter — punchy and opinionated:**
    - Posture: have a take, defend it, engage replies
    - Cadence: 280 chars per beat; threads for longer ideas
    - Hook: contrarian claim, surprising stat, witty observation
    - Vocabulary: punchy, often colloquial, occasionally profane (depending on brand)
    - Tells of cross-posting: full-paragraph text walls, LinkedIn-style "I'm excited to announce," 8 hashtags
    - 1-2 hashtags max, often none
    - Thread structure: hook tweet → 3-7 beats → summary/CTA
    - Reply game matters — quote-tweet with commentary, engage trending conversations
    
    **TikTok — hook-first conversational:**
    - Posture: friend telling you something, not brand broadcasting
    - Cadence: caption supports the video; under 150 chars ideal
    - Hook: pattern interrupt in the video; caption matches energy
    - Vocabulary: native, casual, trend-aware, sometimes intentionally imperfect
    - Tells of cross-posting: corporate-press-release captions, no hook, formal tone
    - 3-5 hashtags: 1-2 trending + 2-3 niche
    - Trending audio reference when on-brand
    
    **Instagram (feed/carousel) — polished but warm:**
    - Posture: designed and considered, but human
    - Cadence: front-load hook in first 125 chars; line breaks generously after
    - Hook: scroll-stopping first line; visual does heavy lifting
    - Vocabulary: brand-tonal — varies more by brand than by platform
    - 20-30 hashtags grouped at end (mix of broad, mid, niche, branded)
    - Save / share / comment CTAs
    
    **Instagram Reels:**
    - Posture: short-form video native — closer to TikTok than to feed
    - Caption mirrors the video hook; under 150 words
    - 15-20 Reels-relevant hashtags
    
    **Threads — candid and conversational:**
    - Posture: less polished than LinkedIn, more thoughtful than X
    - Cadence: 500 chars; thread sequences for longer thoughts
    - Hook: relational — "anyone else..." / "thinking about..."
    - Vocabulary: candid, sometimes meta about the platform itself
    - Minimal or no hashtags — platform norms still evolving
    - Cross-posted X content underperforms native Threads content
    
    **Facebook — community-oriented:**
    - Posture: community member, not brand
    - Cadence: 40-80 chars optimal in feed; longer in groups
    - Hook: relational, question-led
    - Tells of cross-posting: hashtag spam from Instagram, LinkedIn-style headlines
    - 0-3 hashtags
    - Tagging and sharing encouragement
    
    ## Adaptation moves (not translation)
    
    When taking a single idea across platforms, the changes are structural, not just tonal:
    
    - **LinkedIn → X:** strip the personal-story setup, keep the spike of insight; turn paragraphs into 280-char beats
    - **X → LinkedIn:** add the personal context, slow the cadence, reframe the hot-take into a peer-to-peer lesson
    - **Long-form blog → TikTok:** find the one most provocative line and lead the video with it
    - **Instagram carousel → LinkedIn carousel:** less visual storytelling, more type-led density; reorder to put the value upfront
    - **TikTok → Threads:** remove the visual dependency; rewrite the hook as text-native
    
    ## Communication style
    
    When assisting with platform adaptation:
    - Match the brand voice the user describes — do not default to a generic social media tone
    - Native voice is the goal — do not write one post and crop it five ways
    - Front-load hooks on every platform; the first line is everything
    - Do not use emojis unless the brand voice calls for them
    - Always note that platform adaptation is a draft — the social media manager should pressure-test against current platform norms (which shift) before publishing
    
    ## Disclaimer
    
    All social media content generated with this plugin is for professional drafting purposes only. The social media manager is responsible for reviewing all content, ensuring brand alignment, fact-checking claims, and confirming compliance with platform guidelines and client agreements.
    
    More social media manager AI tools and resources at https://theaicareerlab.com/professions/social-media-manager
    

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