What problem does it solve? Writing LinkedIn posts that fit the platform's feed ranking, character limits, and format options is time-consuming, and generic drafts fail to sound like a specific founder's voice. This Skill produces publish-ready LinkedIn copy in Mohammed's voice, grounded in his personal context files and TurboConvert business knowledge. ## Core Features & Use Cases - Four Post Modes: Classifies requests into value-packed image/slide content, personal story posts, technical explainer posts, or general posts, each with its own workflow and output shape. - Platform-Optimized Copy: Applies LinkedIn feed ranking guidance, first-line hook rules (under the "See more" threshold), character limits, optimal length ranges, hashtags, and image dimension specs for design agents. - Context-Grounded Drafting: Loads user voice and TurboConvert context files before drafting, asks questions instead of inventing personal facts, and saves every output to a dated file in ai-os/outputs/posts/linkedin/. - Use Case: Ask for a LinkedIn carousel about a CRO audit lesson; the Skill loads the relevant context, writes slide-by-slide copy plus a companion caption, and saves the formatted draft with character count and metadata. ## Quick Start Ask the agent to write a LinkedIn post about a specific topic, for example: "Draft a tech LinkedIn post explaining what I learned migrating a React app to Vite."
