intent-detection

Detect user intent from plain language and route requests to the correct skill.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/nhouseholder/nicks-claude-code-superpowers --skill intent-detection-nhouseholder
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: intent-detection
Source: https://github.com/nhouseholder/nicks-claude-code-superpowers/tree/main/skills/intent-detection
Command: npx skills add https://github.com/nhouseholder/nicks-claude-code-superpowers --skill intent-detection-nhouseholder

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Automatically detects user intent from plain language and routes requests to the correct skill or workflow.

Core Features & Use Cases

  • Always-on intent interpretation across all user messages.
  • Semantic routing to the correct skill or command set (e.g., /deploy, /backtest, /site-update-protocol).
  • Confidence-based execution with HIGH/MEDIUM/LOW gating and multi-intent handling for complex messages.
  • Use Case: When a user says "deploy the latest changes" or "check the security of the codebase", the system maps the request to the appropriate skill and executes it.

Quick Start

Provide a natural-language request and observe the system map it to the correct workflow.

Frequently Asked Questions about intent-detection

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

FAQPage Schema
How do I route plain language requests to specific workflows automatically?

Intent detection routes plain language requests to specific workflows by analyzing natural language input and mapping it to predefined command patterns. This semantic routing ensures user requests like code deployment or security checks reach the correct skill automatically.

Can I handle multiple intents in a single user message?

Yes, multi-intent handling processes complex messages containing multiple requests simultaneously. The system evaluates confidence levels using HIGH, MEDIUM, and LOW gating to determine execution priority for each detected intent within a single user input.

What do I need to set up before using intent detection for AI agent orchestration?

Intent detection requires clear intent patterns and defined command mappings configured before use. Providing these deterministic routing rules ensures the system correctly classifies requests and avoids misclassification across deployment, testing, and update scenarios.

How does semantic routing handle non-obvious command mappings?

Semantic routing handles non-obvious mappings by analyzing the underlying meaning of plain language requests against configured intent patterns. This allows it to correctly route ambiguous requests to appropriate workflows even when exact command keywords are absent.

Why does my intent detection system misclassify certain user requests?

Misclassification occurs when intent patterns and command mappings lack clarity or completeness. Establishing deterministic routing rules with well-defined patterns and applying confidence-based execution gating prevents incorrect workflow execution for ambiguous inputs.

What is confidence-based execution gating in intent detection?

Confidence-based execution gating evaluates the certainty of intent detection using HIGH, MEDIUM, and LOW thresholds. This mechanism determines whether to execute a mapped workflow automatically or request user clarification, preventing misclassification errors.