Collaborative Doc Co-Authoring
Guides users through a structured, three-stage workflow to draft, refine, and reader-test high-quality technical documentation and proposals.
This skill transforms Claude into an active editorial partner for substantial writing tasks like RFCs, PRDs, and technical specs. It moves beyond simple text generation by implementing a rigorous three-stage process: Context Gathering (to bridge the knowledge gap), Refinement & Structure (iterative, section-by-section brainstorming), and Reader Testing (using fresh AI instances to identify blind spots). Designed for complex empirical research and engineering environments, it ensures documents are coherent, comprehensive, and optimized for human and AI comprehension.
Key Features
011,853 GitHub stars
02Structured Three-Stage Workflow: Context Gathering, Sectional Refinement, and Automated Reader Testing.
03Context-Aware Questioning: Asks 5-10 targeted questions per stage to capture missing edge cases and stakeholder concerns.
04Intelligent Brainstorming: Generates 5-20 diverse options per section to explore all technical and organizational angles.
05Surgical Refinement: Uses precise string replacement to update specific parts of a document without losing flow or context.
06Reader Simulation: Leverages sub-agents to predict reader questions and find assumptions that lack explanation.
Use Cases
01Co-authoring empirical research proposals or academic decision documents with deep organizational context.
02Drafting complex technical specifications (RFCs) or Product Requirement Documents (PRDs) from scratch.
03Refining existing drafts to eliminate 'slop' and ensure every sentence carries weight for the target audience.