intent-detection

Name: intent-detection
Availability: InStock
Author: hiddink-ai

Analyze natural language input to route tasks to specialist agents.

1|Updated May 21, 2026

Search Tags:#automation #routing #agent #orchestration #classification #intent

Ready to run

npx skills add https://github.com/hiddink-ai/hiddink-harness --skill intent-detection-hiddink-ai

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: intent-detection
Source: https://github.com/hiddink-ai/hiddink-harness/tree/main/templates/skills/intent-detection
Command: npx skills add https://github.com/hiddink-ai/hiddink-harness --skill intent-detection-hiddink-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This skill solves the fragmentation of multi-agent systems by automatically analyzing user input to determine the correct specialist agent or workflow, preventing context loss and misrouting.

Core Features & Use Cases

Semantic Routing: Uses keyword, action, and file-pattern matching to score and select the optimal agent for a task.
Confidence-Based Execution: Automatically executes high-confidence tasks, requests confirmation for medium-confidence matches, and provides options for ambiguous inputs.
Use Case: When a user types "Go 코드 리뷰해줘", the skill identifies the language (Go), the action (review), and routes the request directly to the lang-golang-expert agent.

Quick Start

Invoke the intent-detection skill to analyze the current user prompt and route it to the most appropriate agent or 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 natural language requests to the right agent in a multi-agent system?▼

Agent routing uses natural language input analysis to identify user intent and direct tasks to the appropriate specialist agent, preventing context loss. It matches keywords, file patterns, and action verbs against a centralized trigger registry.

How does confidence-based execution work for intent classification?▼

Confidence-based execution in intent classification automatically executes high-confidence tasks, requests user confirmation for medium-confidence matches, and presents alternative options for ambiguous inputs. This prevents misrouting by validating uncertain intent matches.

What is semantic routing and when do I need it for workflow orchestration?▼

Semantic routing is a mechanism that scores and selects the optimal agent for a task using keyword, action, and file-pattern matching. You need it for workflow orchestration when managing multi-agent systems to prevent fragmentation and context loss.

Does intent detection work across different domains like infrastructure and management?▼

Intent detection operates across software engineering, infrastructure, and management domains by analyzing natural language input. It identifies user intent and routes tasks to the appropriate specialist agent or skill module within these specified categories.

What is the best way to handle ambiguous inputs in agent orchestration?▼

The best way to handle ambiguous inputs in agent orchestration is using confidence-based decision logic that presents alternative options. This logic evaluates intent matches and only auto-executes high-confidence tasks while requesting confirmation for uncertain ones.

Why does my multi-agent system lose context when switching between specialist agents?▼

Multi-agent systems lose context during manual switching due to fragmentation. Automatic intent detection solves this by analyzing user input to determine the correct specialist agent or workflow, ensuring seamless routing without context loss.