How does the Router decide which tool to use?

The Router uses a multi-phase system involving intent analysis of keywords, gathering project data like git status and file types, and applying a confidence scoring algorithm to select the best route.

Does the Router explain why it chose a specific tool?

Yes, transparent communication is a core capability. The Router explains its routing decisions educationally, helping users understand the ecosystem and available tools over time.

Can the Router handle complex, multi-step tasks?

Yes, it is designed for execution coordination, meaning it can manage single, sequential, or parallel tool invocations depending on the complexity of the user's request.

What is the primary purpose of the Router skill?

It acts as an intelligent traffic controller that analyzes user requests and project context to invoke the most appropriate tools or agents for a task, ensuring maximum efficiency.

Intelligent Request Router

Name: Intelligent Request Router
Author: AdamManuel-dev

byAdamManuel-dev

Productivity & Workflow

Orchestrates Claude Code interactions by intelligently routing user requests to the most effective skills, agents, and commands.

About

The Router skill acts as the intelligent orchestration layer for the Claude Code ecosystem, serving as a virtual development lead that directs tasks to specialized tools. By analyzing user intent, project context, and domain-specific keywords, it ensures that every request—whether it's fixing types, reviewing security, or planning features—is handled by the most qualified capability. It streamlines workflows by managing multi-step executions and provides transparent reasoning for its routing decisions, helping users discover and leverage the full power of their AI development environment.

Key Features

Multi-step Execution Coordination for sequential or parallel tasks
Advanced Intent Analysis to extract actions, domains, and urgency
Context-Aware Routing based on git status and project diagnostics
Transparent Orchestration that explains tool selection logic to users
Heuristic Decision Engine with confidence-based scoring
0 GitHub stars

Use Cases

Automatically directing 'fix' requests to specific linting or type-checking tools based on current diagnostics
Coordinating parallel execution of documentation and testing tools during a project audit
Routing architectural questions to strategic agents while sending UI bugs to the UI Engineer

About

Key Features

Multi-step Execution Coordination for sequential or parallel tasks
Advanced Intent Analysis to extract actions, domains, and urgency
Context-Aware Routing based on git status and project diagnostics
Transparent Orchestration that explains tool selection logic to users
Heuristic Decision Engine with confidence-based scoring
0 GitHub stars

Use Cases

Automatically directing 'fix' requests to specific linting or type-checking tools based on current diagnostics
Coordinating parallel execution of documentation and testing tools during a project audit
Routing architectural questions to strategic agents while sending UI bugs to the UI Engineer