platform-strategy-sms

Cross-posting requires adapting format, length, and engagement mechanics to each platform's algorithm. This Skill maps your content to platform-native tactics, distinguishing what can be reused across LinkedIn, Twitter/X, Threads, and Bluesky versus what must be native to each platform's culture and constraints.

Troubleshooting algorithm reach drops on Twitter/X and LinkedIn involves analyzing platform-specific distribution drivers like dwell time, replies, and bookmarks. This Skill translates reach drops into actionable tactics, identifying format rules and engagement patterns that align with current algorithm behaviors.

Prioritizing a social media platform for B2B lead generation or thought leadership depends on matching your primary goal to platform distribution mechanics. This Skill provides a platform selection framework, recommending whether LinkedIn, Twitter/X, Threads, or Bluesky best suits your specific growth objectives.

Platform-specific post mechanics and engagement windows are determined by mapping your stated goal to the distinct behaviors and distribution algorithms of LinkedIn, Twitter/X, Threads, and Bluesky. It reads existing social-media context to produce concrete rules for post structure and publishing timing.

You can use this Skill without an existing context file, though it reads existing social-media context from .agents/social-media-context-sms.md when available. Without the file, you simply provide your target platforms, goal, and content type directly in your prompt to receive actionable tactics.

The limitation of a cross-posting adaptation playbook is that platform-native content boundaries exist; not all content can be reused effectively across LinkedIn, Twitter/X, Threads, and Bluesky. This Skill identifies what must be native to each platform's culture and constraints to prevent algorithmic penalties.