de-lead-routing

Route data engineering tasks to the correct DE expert agents.

13|6|Updated Apr 14, 2026
One-click install
npx skills add https://github.com/baekenough/second-brain --skill de-lead-routing
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: de-lead-routing
Source: https://github.com/baekenough/second-brain/tree/main/.claude/skills/de-lead-routing
Command: npx skills add https://github.com/baekenough/second-brain --skill de-lead-routing

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Data engineering tasks are often routed to the wrong specialist, causing delays and miscommunication. This skill ensures accurate routing to the correct DE experts.

Core Features & Use Cases

  • Automatic routing of pipeline design, DAG authoring, SQL modeling, stream processing, and warehouse optimization tasks to the appropriate DE expert agents.
  • Supports keyword detection, file-pattern awareness, and multi-agent orchestration for end-to-end task execution.
  • Use case: A user requests a data pipeline design and the system routes to orchestration, modeling, processing, streaming, and warehouse specialists, then aggregates results.

Quick Start

Route a pipeline design task to the appropriate DE experts for orchestration, modeling, processing, streaming, and warehouse work.

Frequently Asked Questions about de-lead-routing

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

FAQPage Schema
How do I route data engineering tasks to the right specialists for pipeline design?

Route data engineering tasks to the correct DE expert agents by using keyword detection and file-pattern awareness. This ensures pipeline design requests are automatically dispatched to orchestration, modeling, and warehouse specialists for accurate execution.

What is the best way to coordinate cross-tool tasks across dbt and Airflow?

Coordinate cross-tool dbt and Airflow tasks through multi-agent orchestration. The routing logic detects your task requirements and aggregates results across modeling, processing, streaming, and warehouse specialists to streamline multi-tool coordination.

Can I automatically dispatch stream processing and SQL modeling requests to different agents?

Yes, you can automatically dispatch stream processing and SQL modeling requests. The routing decision logic identifies specific task keywords and file patterns, directing each request to the appropriate data engineering expert agent for specialized handling.

How does DAG authoring and warehouse optimization routing work for multi-agent systems?

DAG authoring and warehouse optimization routing works by detecting task keywords and orchestrating expert agents. It routes your requests to the correct specialists, aggregates their cross-tool outputs, and optionally applies Codex or Gemini RTK flow with soul injection hooks.

Do I need specific orchestration dependencies to route pipeline design tasks?

No specific dependencies are required to route pipeline design tasks. The skill operates independently using internal routing decision logic and keyword detection to coordinate your data engineering pipeline requests across multiple specialized agents.