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workflow-router

Route tasks to specialist agents based on user goals and resource preferences.

3.9k|296|Updated Dec 23, 2025
Search Tags:#workflow#task management#routing#ai#agent#orchestration
One-click install
npx skills add https://github.com/parcadei/Continuous-Claude-v3 --skill workflow-router-parcadei
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: workflow-router
Source: https://github.com/parcadei/Continuous-Claude-v3/tree/main/.claude/skills/workflow-router
Command: npx skills add https://github.com/parcadei/Continuous-Claude-v3 --skill workflow-router-parcadei

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill streamlines complex tasks by intelligently routing them to the most appropriate specialist AI agents, ensuring efficient and goal-oriented execution.

Core Features & Use Cases

  • Goal-Based Routing: Identifies user goals (Research, Plan, Build, Fix) to select the right agent.
  • Resource Allocation: Allows users to choose between conservative, balanced, or aggressive agent resource allocation.
  • Workflow Orchestration: Manages multi-step processes, including plan detection, specialist mapping, and confirmation.
  • Use Case: When a user wants to "build a new feature," this Skill will first check for existing plans, then ask about resource allocation, and finally spawn the 'kraken' agent to implement the feature, potentially running a 'premortem' first.

Quick Start

Use the workflow-router skill to start a new task by defining your primary goal.

Frequently Asked Questions about workflow-router

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

FAQPage Schema
How does multi-agent workflow orchestration route tasks to specialist AI agents?▼

Multi-agent workflow orchestration routes tasks by identifying user goals like research, planning, building, or fixing code, then mapping those goals to specialist agents such as the oracle, plan-agent, kraken, or debug-agent for execution.

What is the best way to manage resource allocation for AI agents during task orchestration?▼

To manage AI agent resource allocation during task orchestration, you can specify preferences as conservative, balanced, or aggressive, allowing the workflow router to match execution strategies to your available resources and goals.

How do I start a multi-step workflow to build a new feature using AI agents?▼

To start building a new feature, define your primary goal to trigger the workflow, which checks for existing plans, asks for resource allocation preferences, and spawns the kraken agent to implement the feature.

Does workflow orchestration require external dependencies to route tasks to specialist agents?▼

Workflow orchestration for routing tasks to specialist agents does not require external dependencies, operating independently to map user-defined goals to internal agents like the debug-agent and oracle.

When should I use a premortem step in multi-agent AI task execution?▼

A premortem step is used in multi-agent AI task execution when building new features, allowing the workflow to evaluate potential failure scenarios before the kraken agent begins the actual implementation process.

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