How does it handle ambiguous requests?

If intent is unclear, the router uses confidence scoring to either ask for clarification or provide a list of the most likely relevant options for the user to choose from.

When is this skill triggered?

It serves as a meta-router and is consulted automatically whenever a user's input does not match an explicit skill trigger.

Can I add my own custom routing patterns?

Yes, you can define custom triggers and routing targets within the .aiwg/config/routing.yaml file to extend the router's capabilities for your specific project needs.

What does the nl-router skill do?

It acts as a traffic controller for Claude Code, interpreting natural language requests and sending them to the correct specialized skill or workflow based on the user's intent.

Does it understand project context?

Yes, it recognizes context from the current conversation, allowing it to route relative commands like 'create a ticket for this' based on previous bug discussions.

Natural Language Intent Router

Name: Natural Language Intent Router
Author: jmagly

byjmagly

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Productivity & Workflow

Routes natural language requests to the most relevant Claude Code skills and specialized workflows using intent parsing and confidence scoring.

About

The nl-router serves as a central intelligence layer for autonomous agents, acting as a meta-router that interprets user intent when no explicit command is triggered. By analyzing action verbs, object mappings, and conversational context, it seamlessly directs requests to appropriate SDLC, marketing, or utility workflows. It enhances the developer experience by handling ambiguous requests through clarification loops, offering alternative suggestions for low-confidence matches, and learning from routing patterns to improve agentic coordination over time.

Key Features

Multi-domain routing covering SDLC, artifacts, marketing, and utilities
Contextual awareness to infer intent from recent conversation history
Intelligent intent parsing for action verbs and object targets
Confidence-based execution with automated clarification for ambiguous queries
67 GitHub stars
Extensible pattern matching via custom configuration files

Use Cases

Triage and routing of production incidents or security scans using prioritized keywords
Navigating complex SDLC transitions like moving from elaboration to construction
Automating artifact creation or reviews based on fuzzy natural language descriptions

About

Key Features

Multi-domain routing covering SDLC, artifacts, marketing, and utilities
Contextual awareness to infer intent from recent conversation history
Intelligent intent parsing for action verbs and object targets
Confidence-based execution with automated clarification for ambiguous queries
67 GitHub stars
Extensible pattern matching via custom configuration files

Use Cases

Triage and routing of production incidents or security scans using prioritized keywords
Navigating complex SDLC transitions like moving from elaboration to construction
Automating artifact creation or reviews based on fuzzy natural language descriptions