One-click install
npx skills add https://github.com/infantesromeroadrian/arca-agent --skill suggest-infantesromeroadrian
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: suggest
Source: https://github.com/infantesromeroadrian/arca-agent/tree/main/template/skills/suggest
Command: npx skills add https://github.com/infantesromeroadrian/arca-agent --skill suggest-infantesromeroadrian

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

Before executing tasks, this Skill unit identifies which agents, skills, and MCPs are relevant, preventing ARCA from defaulting to direct execution.

Core Features & Use Cases

  • Task Classification: Categorizes tasks into predefined categories like infrastructure, machine learning, coding, etc.
  • Recommendations: Outputs a formatted list of recommended agents, skills, and MCPs for the given task.
  • User Invocable: Can be invoked by the user through specific commands or keywords.

Quick Start

To get suggestions for your task, simply say: /suggest

Frequently Asked Questions about suggest

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

FAQPage Schema
How do I prevent default execution and get agent recommendations for a specific task?

To prevent default execution, you can use task classification to get recommendations for agents, skills, and MCPs. This ensures task context is evaluated before execution, providing a formatted list of relevant tools.

What is task classification and how does it work for agent invocation?

Task classification categorizes tasks into predefined categories like infrastructure, machine learning, and coding. It works by analyzing task context to output a formatted list of recommended agents, skills, and MCPs for efficient execution.

Can I use /suggest to find relevant MCPs for machine learning tasks?

Yes, you can invoke suggestions by using the /suggest command. It classifies tasks into categories like machine learning and outputs a formatted list of relevant agents, skills, and MCPs tailored to your specific task context.

What's the best way to recommend relevant skills before executing a coding task?

The best way to recommend relevant skills is by using a recommendation engine that evaluates task context. It prevents defaulting to direct execution by classifying the task and outputting a formatted list of suggested agents, skills, and MCPs.

Why does the ARCA system default to direct execution instead of suggesting relevant agents?

The ARCA system defaults to direct execution when task context is not evaluated. Using a recommendation engine prevents this by classifying the task first, ensuring a formatted list of relevant agents, skills, and MCPs is suggested before execution.

Do I need any dependencies to get task-specific suggestions for agents and skills?

No dependencies are required to get task-specific suggestions. The skill operates independently using scripts to classify tasks and output a formatted list of recommended agents, skills, and MCPs based on the provided task context.