expert-integration

Route tasks across agent experts with structured handoff data packets.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/WalkerVVV/firstmile-deals-pipeline --skill expert-integration
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: expert-integration
Source: https://github.com/WalkerVVV/firstmile-deals-pipeline/tree/main/.claude/skills/expert-integration
Command: npx skills add https://github.com/WalkerVVV/firstmile-deals-pipeline --skill expert-integration

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Cross-expert routing, handoffs, and learning propagation across the Agent Expert framework.

Core Features & Use Cases

  • Primary routing logic for Brand Scout, Discovery/Sales, HubSpot CRM, and Goal Tracking experts.
  • Multi-expert workflows: new leads, discovery, goal analysis, and micro-action propagation.
  • Handoff protocols to move data between experts with structured payloads.
  • Learning propagation to update expertise.yaml after sessions.

Quick Start

Use the primary routing rules to assign a task to brand-scout-expert or hubspot-crm-expert and auto-propagate learnings after completion.

Frequently Asked Questions about expert-integration

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I route tasks across multiple domain experts in a workflow?

Expert-integration provides primary routing logic to assign tasks to specialized agents like brand-scout-expert or hubspot-crm-expert. It uses standardized handoff data packets to coordinate seamless cross-domain workflows, ensuring tasks reach the appropriate expert based on domain requirements.

What's the best way to handle handoffs between different agent experts?

Use the handoff protocols in expert-integration to move data between experts with structured payloads. The Skill defines standardized packet formats that preserve context and requirements as tasks transition across expert boundaries in multi-expert workflows.

How do I propagate learning updates across agent experts after a session?

Expert-integration automatically propagates learnings to update expertise.yaml with versioned updates after task completion. This mechanism captures knowledge from each expert's work and distributes it across the agent framework to improve future routing decisions.

Can I use expert-integration to coordinate workflows that span multiple domains?

Yes. Expert-integration is designed for multi-expert workflows including new leads, discovery, goal analysis, and micro-action propagation. It applies to any task spanning multiple domains or crossing expert boundaries with an expert registry and primary routing algorithm.

What data structure do I need to pass between experts in a handoff?

Expert-integration defines standardized handoff data packets that structure the information passed between agents. These packets ensure consistent formatting and required context preservation across handoffs between brand-scout, discovery, CRM, and goal-tracking experts.

Does expert-integration support versioned learning updates?

Yes. The Skill includes learning propagation mechanisms with versioned updates to expertise.yaml. This tracks knowledge evolution across expert sessions and enables the framework to maintain accurate expertise records over time.