Планирование файн-тюнинга модели

★ 6.9 · marketing

fine-tuning-plan is a Claude Code skill that designs and documents a structured fine-tuning plan with built-in quality checks, actionable recommendations, and implementation tables. It follows a four-step process: context gathering (reading memory.md and knowledge-base.md), framework selection (AI Readiness Assessment, Automation ROI Calculator, Human-in-the-Loop Design, RAG Architecture, and others), document generation, and a checklist-based quality validation. The output includes an executive summary, gap analysis, prioritised recommendations, an owner-and-timeline action table, success metrics (Time Saved Per Task, Automation Rate, Error Reduction %, Cost Per AI Operation), and a risk register. After completion, the skill updates TaskBoard.md with any follow-up actions. It suits teams building a fine-tuning workflow from scratch or standardising an existing one.