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Multi-platform content distribution across X, LinkedIn, Threads, and Bluesky. Adapts content per platform using content-engine patterns. Never posts identical content cross-platform. Use when the user wants to distribute content across social platforms.

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2026년 4월 8일 01:05
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Multi-platform content distribution across X, LinkedIn, Threads, and Bluesky. Adapts content per platform using content-engine patterns. Never posts identical content cross-platform. Use when the user wants to distribute content across social platforms.
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# Crosspost Distribute content across multiple social platforms with platform-native adaptation. ## When to Use - User wants to post content to multiple platforms - Publishing announcements, launches, or updates across social media - Repurposing a post from one platform to others - User says "crosspost", "post everywhere", "share on all platforms", or "distribute this" ## Core Rules 1. **Never post identical content cross-platform.** Each platform gets a native adaptation. 2. **Primary platform first.** Post to the main platform, then adapt for others. 3. **Respect platform conventions.** Length limits, formatting, link handling all differ. 4. **One idea per post.** If the source content has multiple ideas, split across posts. 5. **Attribution matters.** If crossposting someone else's content, credit the source. ## Platform Specifications | Platform | Max Length | Link Handling | Hashtags | Media | |----------|-----------|---------------|----------|-------| | X | 280 chars (4000 for Premium) | Counted in length | Minimal (1-2 max) | Images, video, GIFs | | LinkedIn | 3000 chars | Not counted in length | 3-5 relevant | Images, video, docs, carousels | | Threads | 500 chars | Separate link attachment | None typical | Images, video | | Bluesky | 300 chars | Via facets (rich text) | None (use feeds) | Images | ## Workflow ### Step 1: Create Source Content Start with the core idea. Use `content-engine` skill for high-quality drafts: - Identify the single core message - Determine the primary platform (where the audience is biggest) - Draft the primary platform version first ### Step 2: Identify Target Platforms Ask the user or determine from context: - Which platforms to target - Priority order (primary gets the best version) - Any platform-specific requirements (e.g., LinkedIn needs professional tone) ### Step 3: Adapt Per Platform For each target platform, transform the content: **X adaptation:** - Open with a hook, not a summary - Cut to the core insight fast - Keep links out of main body when possible - Use thread format for longer content **LinkedIn adaptation:** - Strong first line (visible before "see more") - Short paragraphs with line breaks - Frame around lessons, results, or professional takeaways - More explicit context than X (LinkedIn audience needs framing) **Threads adaptation:** - Conversational, casual tone - Shorter than LinkedIn, less compressed than X - Visual-first if possible **Bluesky adaptation:** - Direct and concise (300 char limit) - Community-oriented tone - Use feeds/lists for topic targeting instead of hashtags ### Step 4: Post Primary Platform Post to the primary platform first: - Use `x-api` skill for X - Use platform-specific APIs or tools for others - Capture the post URL for cross-referencing ### Step 5: Post to Secondary Platforms Post adapted versions to remaining platforms: - Stagger timing (not all at once — 30-60 min gaps) - Include cross-platform references where appropriate ("longer thread on X" etc.) ## Content Adaptation Examples ### Source: Product Launch **X version:** ``` We just shipped [feature]. [One specific thing it does that's impressive] [Link] ``` **LinkedIn version:** ``` Excited to share: we just launched [feature] at [Company]. Here's why it matters: [2-3 short paragraphs with context] [Takeaway for the audience] [Link] ``` **Threads version:** ``` just shipped something cool — [feature] [casual explanation of what it does] link in bio ``` ### Source: Technical Insight **X version:** ``` TIL: [specific technical insight] [Why it matters in one sentence] ``` **LinkedIn version:** ``` A pattern I've been using that's made a real difference: [Technical insight with professional framing] [How it applies to teams/orgs] #relevantHashtag ``` ## API Integration ### Batch Crossposting Service (Example Pattern) If using a crossposting service (e.g., Postbridge, Buffer, or a custom API), the pattern looks like: ```python import os import requests resp = requests.post( "https://your-crosspost-service.example/api/posts", headers={"Authorization": f"Bearer {os.environ['POSTBRIDGE_API_KEY']}"}, json={ "platforms": ["twitter", "linkedin", "threads"], "content": { "twitter": {"text": x_version}, "linkedin": {"text": linkedin_version}, "threads": {"text": threads_version} } }, timeout=30, ) resp.raise_for_status() ``` ### Manual Posting Without Postbridge, post to each platform using its native API: - X: Use `x-api` skill patterns - LinkedIn: LinkedIn API v2 with OAuth 2.0 - Threads: Threads API (Meta) - Bluesky: AT Protocol API ## Quality Gate Before posting: - [ ] Each platform version reads naturally for that platform - [ ] No identical content across platforms - [ ] Length limits respected - [ ] Links work and are placed appropriately - [ ] Tone matches platform conventions - [ ] Media is sized correctly for each platform ## Related Skills - `content-engine` — Generate platform-native content - `x-api` — X/Twitter API integration
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