criador-agentes

Create specialized AI agents with role-specific instructions and tool guidance.

Updated Mar 9, 2026
One-click install
npx skills add https://github.com/tocadaoncamod/agentes-ia-agno --skill criador-agentes
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: criador-agentes
Source: https://github.com/tocadaoncamod/agentes-ia-agno/tree/main/.agent/skills/criador-agentes
Command: npx skills add https://github.com/tocadaoncamod/agentes-ia-agno --skill criador-agentes

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Provides a clear, repeatable process and templates to design, configure, and deliver specialized AI agents so stakeholders receive consistent, task-focused assistants without ambiguous requirements or missed configuration steps.

Core Features & Use Cases

  • Design Principles: Guidance on descriptive naming, concise one- to two-line descriptions, and required instruction structure covering identity, specialty, response format, tone, language, and limitations.
  • Tool & Model Guidance: Recommendations for selecting appropriate tools and models for research, finance, scraping, or calculations and advice for storage and playground deployment.
  • Templates & Checklist: A practical agent instantiation template and pre-delivery checklist to ensure persistence, tooling, and tested interactions.
  • Use Case: Rapidly create a Portuguese-language marketing analyst agent that measures social metrics and campaign ROI with configured storage and testing.

Quick Start

Create a new agent with a descriptive name, a one-line purpose, at least five explicit instructions (identity, specialty, format, tone, limitations), configured tools and storage, and require responses in português brasileiro.

Frequently Asked Questions about criador-agentes

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

FAQPage Schema
How do I create specialized AI agents for task automation?

Building specialized AI agents involves defining a descriptive name, a concise purpose, and explicit instructions covering identity, specialty, response format, tone, language, and limitations. You also configure appropriate tools and storage for playground deployment.

What is the required instruction structure for building AI assistants?

The required instruction structure for building AI assistants includes defining five core elements: identity, specialty, response format, tone, and limitations. Defining these ensures task-focused behavior and prevents ambiguous interactions.

Can I use templates to automate AI agent creation for analytics?

Yes, you can use provided agent instantiation templates to automate AI agent creation for analytics. These templates include pre-delivery checklists to ensure proper tool selection, storage configuration, and tested interactions for metrics measurement.

Does this agent configuration process work with OpenAI models?

Yes, the agent configuration process provides tool and model guidance for selecting appropriate OpenAI models for research, finance, scraping, or calculations, ensuring specialized assistants are properly equipped for their specific tasks.

What are the limitations when defining role-specific behavior for AI agents?

Limitations when defining role-specific behavior are mitigated by requiring explicit limitation instructions within the agent template. A pre-delivery checklist further ensures persistence, tooling, and tested interactions to prevent missed configuration steps.