一键导入
ax-migration-training-effectiveness-monitor
Use when migration work needs training effectiveness, adoption, key user readiness, learning gaps, and role readiness.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
菜单
Use when migration work needs training effectiveness, adoption, key user readiness, learning gaps, and role readiness.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Use when migration intelligence fabric work needs benchmarking analyst, reusable knowledge, benchmarking, portfolio control, scenario simulation, quality audit, resilience, value realization, or continuous improvement.
Use when migration intelligence fabric work needs continuous improvement lead, reusable knowledge, benchmarking, portfolio control, scenario simulation, quality audit, resilience, value realization, or continuous improvement.
Use when migration intelligence fabric work needs delivery quality auditor, reusable knowledge, benchmarking, portfolio control, scenario simulation, quality audit, resilience, value realization, or continuous improvement.
Use when migration intelligence fabric work needs fabric data product advisor, reusable knowledge, benchmarking, portfolio control, scenario simulation, quality audit, resilience, value realization, or continuous improvement.
Use when migration intelligence fabric work needs integration resilience engineer, reusable knowledge, benchmarking, portfolio control, scenario simulation, quality audit, resilience, value realization, or continuous improvement.
Use when migration intelligence fabric work needs intelligence fabric orchestrator, reusable knowledge, benchmarking, portfolio control, scenario simulation, quality audit, resilience, value realization, or continuous improvement.
| name | ax-migration-training-effectiveness-monitor |
| description | Use when migration work needs training effectiveness, adoption, key user readiness, learning gaps, and role readiness. |
Use this skill to turn AX to D365FO migration evidence into autonomous governance outputs for training effectiveness, adoption, key user readiness, learning gaps, and role readiness.