crosspost
将内容跨多个社交平台分发,自动适配各平台原生格式和内容规范
npx skills add affaan-m/everything-claude-code --skill crosspostBefore / After 效果对比
1 组同一内容需要为每个社交平台手动调整格式、字数限制和媒体规格,逐平台登录发布,耗时且各平台版本容易不一致
创建一份内容自动适配多平台原生格式要求,字数、标签、媒体规格按平台规范智能调整,一次操作完成全平台分发
description SKILL.md
crosspost
Crosspost
Distribute content across multiple social platforms with platform-native adaptation.
When to Activate
-
User wants to post content to multiple platforms
-
Publishing announcements, launches, or updates across social media
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Repurposing a post from one platform to others
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User says "crosspost", "post everywhere", "share on all platforms", or "distribute this"
Core Rules
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Never post identical content cross-platform. Each platform gets a native adaptation.
-
Primary platform first. Post to the main platform, then adapt for others.
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Respect platform conventions. Length limits, formatting, link handling all differ.
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One idea per post. If the source content has multiple ideas, split across posts.
-
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-apiskill 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:
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-apiskill 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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