Social Media Skills for AI Agents is a toolkit of standalone skills for large language models that enables them to handle specialized social media and content creation tasks.
The toolkit addresses the problem of AI agents lacking domain-specific knowledge and consistent voice when working on social media content. It solves this by packaging seventeen skills as markdown files that encode specialized workflows, voice rules, and platform constraints. When installed in a project, these skills allow an AI agent to recognize social media tasks and apply appropriate patterns. The system uses a voice-builder skill to create author context files that personalize subsequent work, with some skills like research and analytics able to operate independently while others depend on established voice profiles.
The toolkit suits developers building AI-assisted content creation systems who want to standardize how their agents handle LinkedIn writing, Reel scripting, image prompts, newsletter composition, and related tasks. It works best for teams that can define their own voice and brand guidelines upfront, since several skills require author-approved context files before they function effectively. The approach is modular, allowing teams to adopt individual skills without committing to the entire system, though some skills have dependencies on others like the voice profile.
The project actively welcomes contributions through pull requests and issue reports. Development appears focused on practical, real-world application of AI agents to content workflows rather than theoretical exploration.
