What problem does it solve? Writing documentation, proposals, and technical specs alone often leads to blind spots, missing context, and documents that confuse readers. This Skill provides a structured three-stage workflow that helps you transfer context to the AI, build each section iteratively, and verify the document works for real readers before publishing. ## Core Features & Use Cases - Context Gathering: Collects background, audience, constraints, and organizational context through structured questions and info dumps, with support for pulling content from connected tools like Slack or Google Drive. - Section-by-Section Refinement: Brainstorms 5-20 options per section, curates content with your feedback, and drafts iteratively using artifacts or markdown files. - Reader Testing: Validates the finished document with a fresh AI instance (or sub-agents) to catch ambiguities, false assumptions, and contradictions before others read it. - Use Case: You need to write a decision doc for a technical migration. The workflow helps you dump all relevant context, draft each section through brainstorming and curation, then test whether a fresh reader can correctly answer questions about your proposal. ## Quick Start Ask the AI to help you write a design doc using the structured co-authoring workflow, starting with context gathering.
