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Next Best Action

This builds event-driven recommendation engines that tell financial advisors what to do next for each client instead of making them manually track hundreds of relationships. It covers the full pipeline: detecting portfolio events like drift or large cash movements, life milestones like RMD deadlines or Medicare eligibility, market dislocations, and compliance triggers, then scoring and routing those to the right team member. The prioritization piece is key since advisors get flooded with competing signals. Use this when you're building proactive nudge systems for wealth management platforms or evaluating whether to buy versus build an NBA engine. It's opinionated about moving from reactive task lists to data-driven workflows, which is the right call for any advisory practice managing serious scale.

skills.sh installs
712
GitHub stars
224
last updated
Aug 21, 2026

Install

$ npx -y skills add joellewis/finance_skills --skill next-best-action --agent claude-code

Installs into .claude/skills of the current project.

Files

Next-Best-Action — Event-Driven Advisor Recommendations

Core Concepts

Next-Best-Action Framework

Next-best-action is an advisor productivity and client service methodology that analyzes client data across systems to surface the single most valuable action an advisor should take for each client at any given time. The concept originates in CRM and marketing automation — industries that have long used event-driven recommendation engines to guide customer-facing personnel toward high-value interactions — but its application in wealth management addresses a distinct set of challenges: advisors managing hundreds of client relationships cannot manually monitor every portfolio, life event, compliance deadline, and practice touchpoint across their entire book of business.

Sponsors

Details

Repository
github.com/joellewis/finance_skills
Categories
Backend & APIs, Git & Pull Requests, Code Review & Quality, Sales & Marketing, Design & UI/UX, Finance & Trading
First seen
Jun 3, 2026

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