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intent-analysis

Analyze user intent and propose minimal agent architectures for complex tasks.

11|Updated May 4, 2026
Search Tags:#agent architecture#intent analysis#orchestrator guidance#goal understanding#deep-loom-kit
One-click install
npx skills add https://github.com/Root-IO-Labs/open-agent-teams --skill intent-analysis
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: intent-analysis
Source: https://github.com/Root-IO-Labs/open-agent-teams/tree/main/agent-runtime/services/agent-builder/agent-builder/skills/intent-analyzer/intent-analysis
Command: npx skills add https://github.com/Root-IO-Labs/open-agent-teams --skill intent-analysis

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps in understanding user goals, proposing the most efficient agent architecture, and identifying potential issues, guiding the orchestrator through the process.

Core Features & Use Cases

  • Goal Reasoning: Understands and interprets user goals to propose the most suitable architecture.
  • Architecture Proposal: Proposes a minimal set of agents to achieve the goal, considering data access, output types, and parallel processing.
  • Open Questions: Identifies ambiguities or missing information and proposes targeted questions for the orchestrator.
  • Use Case: When a user requests a complex task, this Skill helps in breaking it down into manageable parts and proposing a plan for the orchestrator.

Quick Start

Analyze the user's intent for the task 'generate a detailed report on sales trends', propose an agent architecture, and ask clarifying questions if needed.

Frequently Asked Questions about intent-analysis

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

FAQPage Schema
How do I analyze user intent to design a minimal agent architecture for complex tasks?▼

Agent architecture planning works by interpreting user goals, identifying missing information, and proposing targeted questions to guide the orchestrator through breaking down complex requests into manageable parts.

When do I need intent analysis for orchestrator guidance in agent workflows?▼

Yes, the intent analysis process identifies ambiguities or missing information in complex requests and generates targeted questions for the orchestrator to ask, ensuring goals are fully understood before architecture proposal.

What is the best way to propose a minimal set of agents for parallel processing tasks?▼

To start using intent analysis for goal reasoning, provide a complex task request like 'generate a detailed report on sales trends', and the system will analyze it, propose an agent architecture, and ask clarifying questions if needed.

Do I need knowledge of deep-loom-kit capabilities and agent configurations to use intent analysis?▼

Yes, analyzing user intent and proposing agent architecture requires existing knowledge of deep-loom-kit capabilities and agent configurations to effectively guide the orchestrator through the process.

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