What problem does it solve? Turning a rough idea or note into a polished Telegram post is slow and error-prone: posts come out bloated, bury the main point, or read like generic AI text. This Skill structures the whole process — from finding the thesis to a final self-check — so the output is a tight, readable post in the author's voice. ## Core Features & Use Cases - Thesis-first structuring: Extracts one core thesis and places it in the first line, then builds a hook-context-specifics-conclusion structure suited for reading on a phone. - Voice and formatting enforcement: Applies authorial-voice rules (no clichés, no AI filler) and Telegram-specific formatting (backticks for terms, no headings, MarkdownV2 escaping). - Length and quality self-check: Verifies the 500-1500 character range, presence of concrete specifics, and a non-generic tone before showing the result. - Use Case: You have a bullet-point note about a debugging incident. The Skill turns it into a 900-character post-mortem post with the lesson stated in the first line, then asks whether to trim it or strengthen the hook. ## Quick Start Ask the assistant to turn this note into a Telegram post for my channel using the content-tg-post skill.
