Создание AI-базы знаний с планом внедрения

★ 6.9 · marketing

knowledge-base-ai is a Claude Code skill that builds a structured AI knowledge base with quality validation and system integration. It follows a four-step process: reading project context from memory.md and knowledge-base.md, selecting the right framework (AI Readiness Assessment, RAG Architecture, Human-in-the-Loop Design, or Agent Orchestration Patterns), generating an actionable document with specific recommendations and an implementation table showing owners, timelines, and priorities, then running a quality checklist. The output includes a risk matrix and core KPIs — Time Saved Per Task, Automation Rate, Error Reduction %, Cost Per AI Operation, and User Adoption Rate. It suits teams automating repetitive workflows who need measurable outcomes, and follows the best practice of starting with high-volume, low-risk tasks before scaling to critical processes.