
Crosspost
FreeEffortlessly share tailored content across social platforms.
Free · Opens the source repo
What Crosspost does
Crosspost is a skill designed for users who want to effectively distribute content across multiple social media platforms without sacrificing the uniqueness of each post. By adapting content to fit the specific requirements and audiences of platforms like X, LinkedIn, Threads, and Bluesky, Crosspost ensures that each version maintains the author’s voice while adhering to platform constraints. This skill is particularly useful for marketers, content creators, and businesses looking to maximize their reach without diluting their message.
The workflow begins with selecting the strongest primary version of the content, whether it’s a post from X, an article, or a launch note. Users can leverage the content-engine to shape their voice if needed. Once the primary version is established, the skill captures the author’s voice fingerprint, ensuring consistency across all adaptations. Each platform has tailored guidelines to ensure the content is appropriate and engaging for its audience. For example, LinkedIn posts require context for broader audiences, while X posts are more concise and direct.
Crosspost emphasizes the importance of originality by preventing identical copies from being published across platforms. This is achieved by following core rules that focus on preserving the author’s voice and adapting content to fit each platform's unique style. The skill also includes a quality gate to ensure that all versions read as if they were written by the same author and that no unnecessary filler is included. This meticulous approach allows users to maintain their brand identity while effectively communicating their message across various channels.
In summary, Crosspost is an essential tool for anyone looking to streamline their content distribution process across social media platforms. It is ideal for those who frequently share updates, launches, or insights and want to ensure that each post resonates with its intended audience while retaining the author’s original intent.
When to use it
Use this skill when you need to share the same core message across different social media platforms while maintaining platform-specific nuances.
When not to use it
This skill may not be suitable for users who want to publish identical content across platforms or those who do not require platform-specific adaptations.
What you can build with it
Launching a New Product
When launching a new product, use Crosspost to create tailored announcements for each platform, ensuring the message resonates with the specific audience.
Sharing Insights from a Conference
After attending a conference, adapt your key takeaways into unique posts for LinkedIn, X, and Threads to engage with different professional networks.
Promoting a Blog Post
Promote a new blog post by creating concise summaries for X and Threads, while providing a more detailed context for LinkedIn readers.
How to install Crosspost
View source1. Install with the skills CLI
npx skills add affaan-m/ecc/crosspost --agent claude-code2. Or install it manually
Download the skill folder and drop it into ~/.claude/skills/ for all projects, or .claude/skills/ to scope it to one repo. Restart Claude Code so it picks up the new skill.
Anthropic's agentic coding CLI, and the reference implementation of Agent Skills. Drop a skill folder into ~/.claude/skills and Claude Code loads it automatically whenever a task matches the skill's description. Claude Code docs
Inside SKILL.md
Written by affaan-mCrosspost
Distribute content across platforms without turning it into the same fake post in four costumes.
When to Activate
- the user wants to publish the same underlying idea across multiple platforms
- a launch, update, release, or essay needs platform-specific versions
- the user says "crosspost", "post this everywhere", or "adapt this for X and LinkedIn"
Core Rules
- Do not publish identical copy across platforms.
- Preserve the author's voice across platforms.
- Adapt for constraints, not stereotypes.
- One post should still be about one thing.
- Do not invent a CTA, question, or moral if the source did not earn one.
Workflow
Step 1: Start with the Primary Version
Pick the strongest source version first:
- the original X post
- the original article
- the launch note
- the thread
- the memo or changelog
Use content-engine first if the source still needs voice shaping.
Step 2: Capture the Voice Fingerprint
Run brand-voice first if the source voice is not already captured in the current session.
Reuse the resulting VOICE PROFILE directly.
Do not build a second ad hoc voice checklist here unless the user explicitly wants a fresh override for this campaign.
Step 3: Adapt by Platform Constraint
X
- keep it compressed
- lead with the sharpest claim or artifact
- use a thread only when a single post would collapse the argument
- avoid hashtags and generic filler
- add only the context needed for people outside the niche
- do not turn it into a fake founder-reflection post
- do not add a closing question just because it is LinkedIn
- do not force a polished "professional tone" if the author is naturally sharper
Threads
- keep it readable and direct
- do not write fake hyper-casual creator copy
- do not paste the LinkedIn version and shorten it
Bluesky
- keep it concise
- preserve the author's cadence
- do not rely on hashtags or feed-gaming language
Posting Order
Default:
- post the strongest native version first
- adapt for the secondary platforms
- stagger timing only if the user wants sequencing help
Do not add cross-platform references unless useful. Most of the time, the post should stand on its own.
Banned Patterns
Delete and rewrite any of these:
- "Excited to share"
- "Here's what I learned"
- "What do you think?"
- "link in bio" unless that is literally true
- generic "professional takeaway" paragraphs that were not in the source
Output Format
Return:
- the primary platform version
- adapted variants for each requested platform
- a short note on what changed and why
- any publishing constraint the user still needs to resolve
Quality Gate
Before delivering:
- each version reads like the same author under different constraints
- no platform version feels padded or sanitized
- no copy is duplicated verbatim across platforms
- any extra context added for LinkedIn or newsletter use is actually necessary
Related Skills
brand-voicefor reusable source-derived voice capturecontent-enginefor voice capture and source shapingx-apifor X publishing workflows
Frequently asked questions about Crosspost
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