crosspost

The 'crosspost' skill enables users to distribute content across multiple social media platforms, including X, LinkedIn, Threads, and Bluesky, while ensuring that each post is adapted to suit the specific conventions and constraints of its platform. It solves the problem of repetitive or generic cross-platform posting by maintaining the core message of the content while customizing its presentation, preserving the author's unique voice, and avoiding duplicate posts that can appear inauthentic or spammy. By automating the adaptation process, the skill saves time and enhances engagement without compromising originality or platform appropriateness.

Key features of this skill include platform-specific content adaptation, voice capture, and a structured workflow for content distribution. The skill begins by identifying the primary version of the content, capturing the author's voice profile, and then applying platform-specific modifications to meet constraints such as character limits, readability, tone, and context requirements. For example, X posts are concise and sharp, LinkedIn posts add necessary context without forced professionalism, Threads maintain readability, and Bluesky preserves cadence while staying concise. Additional safeguards ensure banned patterns are removed, posts remain focused, and no unnecessary calls-to-action or filler are introduced. The output is organized to provide the primary platform version, adapted variants for other platforms, notes on changes, and unresolved publishing constraints.

This skill is especially useful for content creators, marketers, and organizations who need to share announcements, launches, updates, or essays across multiple social channels. It caters to users who want consistency in messaging while respecting the nuances of each platform. Typical use cases include product launches, company updates, thought leadership posts, or educational content that benefits from being reshaped for multiple audiences. By leveraging related skills such as 'brand-voice' and 'content-engine', users can ensure that content adaptation is both effective and aligned with the original author’s style and intent.