How does it handle ambiguous requests?

If the system's confidence in a specific route is below 90%, it will proactively ask the user for clarification and present 3-5 likely options to ensure the correct skill is invoked.

How accurate is the routing system?

The Skill Router is designed to achieve over 90% accuracy by utilizing intent extraction, domain mapping, and continuous learning from user feedback stored in local cache.

What does the Skill Router do?

It acts as a central traffic controller that analyzes user requests and sends them to the most relevant specialized skills within the SpecWeave ecosystem, such as the architect-agent or increment-planner.

Can it handle complex tasks that require multiple skills?

Yes, for complex requests like 'Build a SaaS', the Skill Router recognizes the high complexity and routes the task to a role-orchestrator that coordinates multiple agents simultaneously.

SpecWeave Skill Router

Name: SpecWeave Skill Router
Author: anton-abyzov

byanton-abyzov

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Productivity & Workflow

Orchestrates complex development workflows by intelligently routing ambiguous user requests to the most appropriate specialized skills.

The SpecWeave Skill Router acts as an intelligent traffic controller for AI-driven development environments. By analyzing intent, domain, and complexity, it ensures that every user request—from building new features to optimizing database queries—is handled by the correct specialized agent. It utilizes a sophisticated four-phase routing algorithm—Intent Classification, Skill Mapping, Confidence Assessment, and Clarification—to maintain over 90% routing accuracy. This skill is essential for managing multi-skill orchestration and resolving ambiguity in natural language prompts, ensuring developers get the right assistance without manual skill selection.

Key Features

01High-accuracy intent classification using primary action and domain analysis

02Interactive clarification system for requests with less than 90% confidence

03Multi-skill orchestration for complex, cross-functional project requirements

04Automatic performance tracking and machine learning feedback loops

05Context-aware priority matrix for brownfield vs. greenfield development

060 GitHub stars

Use Cases

01Resolving ambiguous prompts like 'help with auth' into specific planning or implementation tasks

02Orchestrating full-stack project builds by coordinating architecture, backend, and frontend agents

03Automatically selecting the correct documentation or testing skill based on file patterns

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add anton-abyzov/sw-soccer-manager skill-router

For use in Claude.ai and ChatGPT

Download Skill