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baekenough
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intent-detection

Detect user intent and route requests to matching agents using keywords, actions, and file patterns.

34|5|Updated Jan 25, 2026
Search Tags:#routing#patterns#agents#nlp#triggers#intent-detection
One-click install
npx skills add https://github.com/baekenough/oh-my-customcode --skill intent-detection
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: intent-detection
Source: https://github.com/baekenough/oh-my-customcode/tree/main/templates/.claude/skills/intent-detection
Command: npx skills add https://github.com/baekenough/oh-my-customcode --skill intent-detection

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Automatically detect user intent and route requests to the correct agent with full transparency, reducing manual routing and improving orchestration efficiency.

Core Features & Use Cases

  • Pattern-based intent detection using keywords, actions, and file context to route requests to agents.
  • Transparent reasoning and routing decisions presented to users, enabling visibility and auditability.
  • Seamless integration with orchestration components (Secretary, agent-triggers) to scale routing decisions across multiple agents.

Quick Start

Describe a natural language request to trigger routing.

Frequently Asked Questions about intent-detection

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

FAQPage Schema
How do I route natural language commands to the correct agent in Claude Code workflows?▼

You can route natural language commands by using scoring-based matching against agent triggers, which considers keywords, actions, file patterns, and context to automatically identify user intent and direct requests to the correct agent.

How does intent detection work when matching requests to agent triggers?▼

Intent detection works by implementing a scoring-based matching algorithm that evaluates user requests against agent triggers, analyzing keywords, actions, file patterns, and context to determine the correct routing destination.

Can I see the reasoning behind routing decisions for agent orchestration?▼

Yes, the intent detection process provides transparent reasoning and routing decisions presented to users, enabling full visibility and auditability for orchestration efficiency across multiple agents.

What's the best way to handle ambiguous intents when routing to multiple agents?▼

For ambiguous intents, the scoring-based matching system supports optional confirmations, allowing you to validate routing decisions before requests are sent to the matched agent triggers.

Does intent detection integrate with orchestration components for scaling agent routing?▼

Yes, it seamlessly integrates with orchestration components like Secretary and agent-triggers, enabling you to scale routing decisions across multiple agents while maintaining transparent pattern-based detection.

What context does pattern-based intent detection consider when routing user requests?▼

Pattern-based intent detection considers keywords, actions, and file context to route requests to agents, ensuring accurate matching against defined triggers within your natural language workflows.

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