Проектирование AI-агентов с дизайн-документом

★ 6.9 · marketing

ai-agent-design is a Claude Code skill that guides users through a structured process for designing AI agents: context analysis, framework selection, and generation of a complete design document with implementation plan. It draws on six frameworks — AI Readiness Assessment, Automation ROI Calculator, Human-in-the-Loop Design, RAG Architecture, Agent Orchestration Patterns, and Responsible AI Framework — choosing the most appropriate one for each project. The output document includes an executive summary, gap and opportunity analysis, prioritized recommendations, an implementation table with owners and timelines, a success metrics table, and a risk matrix. Built-in quality checks verify that recommendations are specific and actionable, figures are realistic, and the approach follows best practices such as starting with high-volume, low-risk tasks. Tracked KPIs include Time Saved Per Task, Automation Rate, Error Reduction %, and Cost Per AI Operation, making it well suited for teams planning process automation who need a clear starting framework.