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/client-onboarding/SKILL.md，本地路径12-financial-ai-skills/upstream-snapshots/community-joellewis-finance-skills/plugins/advisory-practice/skills/client-onboarding/SKILL.md。 - 原始定位：上游描述：Design and implement end-to-end client onboarding workflows from prospect intake through funded account, covering KYC verification, document collection, e-signature, and custodian submission. Use when the user asks about building a digital onboarding flow, integrating identity verification or CIP checks, reducing NIGO rejection rates, opening complex account types like trusts or entities, connecting to custodian APIs, designing suitability questionnaires, or comparing advisor-assisted vs self-service models. Also trigger when users mention 'new account opening', 'onboarding bottleneck', 'KYC integration', 'beneficial ownership', 'OFAC screening', 'account funding', or 'onboarding automation'.
- 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。
↗
01 Skill 上游文件https://github.com/JoelLewis/finance_skills/blob/f553a84f7222/plugins/advisory-practice/skills/client-onboarding/SKILL.mdFSK-099 · 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。