AI-анализ данных и план внедрения автоматизации

★ 6.9 · marketing

ai-data-analysis is a Claude Code skill that runs a structured AI data analysis process: it assesses automation readiness, calculates ROI, and produces actionable recommendations backed by concrete metrics such as Time Saved Per Task, Automation Rate, Error Reduction %, and Cost Per AI Operation. The skill reads project context from memory.md and knowledge-base.md, then applies frameworks including AI Readiness Assessment, Human-in-the-Loop Design, RAG Architecture, and Agent Orchestration Patterns. Output is a structured markdown report with an executive summary, a prioritized action table, a risk matrix, and a KPI table showing baseline and target values. It is designed for marketing teams and AI practitioners who need a data-driven implementation plan with specific timelines and measurable goals.