What problem does it solve? Turning scattered notes, ideas, or raw experience into a coherent long-read article is hard: drafts often lack a clear thesis, logical structure, or authorial voice. This Skill guides the process from a confirmed thesis to a complete first draft with TL;DR, arguments, counterarguments, and concrete examples. ## Core Features & Use Cases - Thesis-first workflow: Formulates a single defensible claim and confirms it with the author before writing, so the article has a backbone instead of being a loose essay. - Structured skeleton: Builds a context → argument → nuances/counterarguments → application outline, then writes section by section with TL;DR at the top. - Voice and formatting rules: Applies content-voice and content-formatting rules — informal address, specifics, code blocks with language tags, no AI clichés. - Use Case: You have a year of Kubernetes production experience in your notes. The Skill helps you fix the thesis ("the main risk is blurred SRE vs. dev responsibility"), agree on a skeleton, and produce a 3-10k character Habr draft with a self-check report. ## Quick Start Ask the assistant to write an article draft for Habr from your notes about a project, and confirm the proposed thesis and outline when prompted.