学习切入点
这一类关注顾问日常经营：客户 onboarding、CRM 生命周期、客户检视、proposal、收费、订单管理、next-best-action 和仪表盘。它更接近财富顾问/客户经理的工作台设计。
01
工作流分析
- 来源与路径：来自
community-joellewis-finance-skills，上游路径plugins/advisory-practice/skills/next-best-action/SKILL.md，本地路径12-financial-ai-skills/upstream-snapshots/community-joellewis-finance-skills/plugins/advisory-practice/skills/next-best-action/SKILL.md。 - 原始定位：上游描述：Design and implement next-best-action engines that surface proactive, prioritized recommendations to advisors based on portfolio, life, market, and compliance events. Use when the user asks about building event-driven advisor alerts, designing trigger logic for portfolio drift or large cash movements, prioritizing competing actions across a book of business, routing NBA recommendations to the right team member, measuring NBA acceptance rates, or automating compliance-driven actions like annual review reminders. Also trigger when users mention 'next best action', 'advisor nudges', 'proactive outreach', 'what should I do for this client', 'event-driven triggers', 'action queue', 'client contact gap', 'RMD reminder', or 'advisor productivity tool'.
- 金融业务理解：这一类关注顾问日常经营：客户 onboarding、CRM 生命周期、客户检视、proposal、收费、订单管理、next-best-action 和仪表盘。它更接近财富顾问/客户经理的工作台设计。
- AI 工作流价值：它把金融专业知识写成可以被 agent 调用的“能力片段”。这种写法适合学习如何把长期经验沉淀成 skill：先定义适用场景，再列核心概念，再给例子和常见误区。
- 可迁移应用方向：可用于构思“客户经理 AI 助手”：会前准备、客户分层、客户检视纪要、下一步行动建议、产品说明草稿和合规提醒。
- 风险与治理边界：治理重点是客户隐私和销售合规。任何客户画像、下一步行动、产品建议都必须受制于授权数据、适当性规则和人工确认。
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01 Skill 上游文件https://github.com/JoelLewis/finance_skills/blob/f553a84f7222/plugins/advisory-practice/skills/next-best-action/SKILL.mdFSK-106 · 查看仓库原文12-financial-ai-skills/professional-finance-service-skills-analysis-03.md原始来源与整理依据
文字分析来自内容源；业务分类、技术标签由 SeekingDAO 按规则整理。披露效果保留原有时间、范围和预测口径，未作独立审计。开源项目与 Skill 的当前许可、兼容性及依赖请以其上游为准。