Проектирование процесса AI-транскрипции

★ 6.9 · marketing

ai-transcription-workflow is a Claude Code skill that designs and documents an AI transcription workflow with structured process steps, quality checks, and system integration. It follows four stages: reading project context from memory.md and knowledge-base.md, selecting the most suitable framework (AI Readiness Assessment, Human-in-the-Loop Design, or Automation ROI Calculator), generating specific actionable recommendations with realistic figures and timelines, and running a quality validation checklist. The output is a structured Markdown document covering an executive summary, implementation tables, risk matrix, and success metrics including Time Saved Per Task, Automation Rate, Error Reduction %, and Cost Per AI Operation. Built for teams automating audio transcription who need a concrete, measurable rollout plan rather than generic guidance.