Проектирование рабочего процесса AI-написания текстов

★ 6.9 · marketing

ai-writing-workflow is a Claude Code skill that designs and documents an AI writing workflow with a structured process, built-in quality checks, and project system integration. Before generating output, the skill reads memory.md and knowledge-base.md to align with existing project context and constraints, then follows four steps: context analysis, framework selection (AI Readiness Assessment, Automation ROI Calculator, Human-in-the-Loop Design, among others), document generation using a fixed template with sections for recommendations, an implementation table, and risk mitigation, and a final checklist validation. Success is measured through metrics such as Time Saved Per Task, Automation Rate, Error Reduction %, and Cost Per AI Operation. Built for marketing and content teams that need a repeatable, auditable content generation pipeline, the skill saves reusable learnings to knowledge-nominations.md and logs follow-up tasks to TaskBoard.md.