Проектирование AI-редактуры для маркетинга

★ 6.9 · marketing

ai-editing-workflow is a Claude Code skill that designs and documents an AI editing workflow with a structured process, quality checks, and system integration guidance. It follows four steps: reading project context from memory.md and knowledge-base.md, applying frameworks such as AI Readiness Assessment, Automation ROI Calculator, and Human-in-the-Loop Design, generating a structured output document with specific recommendations and an implementation table, and running a quality-validation checklist. The resulting document tracks key metrics — Time Saved Per Task, Automation Rate, Error Reduction %, and Cost Per AI Operation — alongside a risk register with mitigation actions. It suits marketing teams looking to automate content editing, measure AI adoption impact, and build a repeatable, auditable editorial automation process.