social-media

To create engaging social media posts for LinkedIn and Twitter/X, this skill uses a research-first workflow to generate single posts or threads, saving content to platform-specific folders like linkedin/<slug>/post.md and tweets/<slug>/thread.md alongside a matching image.png.

The best way to research topics before generating social media content is using a dedicated researcher subagent. This skill enforces a prescribed research step via task(subagent_type="researcher"), delegating information gathering and saving findings to a platform-specific file before drafting.

Yes, this social media post generator produces images alongside the text. It outputs a generated image.png file directly within the platform-specific directory structure for both LinkedIn and Twitter/X posts, ensuring your text and visuals are paired.

You can generate both single posts and threads. This skill supports end-to-end post creation for Twitter/X by outputting thread content to tweets/<slug>/thread.md, and also supports individual LinkedIn posts using linkedin/<slug>/post.md.

Yes, there are specific formatting requirements for social media post generation. The skill enforces deterministic formatting by requiring SKILL.md frontmatter with name and description fields, ensuring consistent, engagement-oriented deliverables with hashtags.

No external dependencies are required to automate social media content creation with this skill. It operates independently using internal subagents for research and content generation, requiring no additional components or external libraries.