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agent-development

Guide creation and refinement of autonomous AI agents with validation rules.

Updated Feb 6, 2026
Search Tags:#ai development#system prompt#agent#agent creation#autonomous agent#llm agent
One-click install
npx skills add https://github.com/spandios/vibe-utils --skill agent-development-spandios
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: agent-development
Source: https://github.com/spandios/vibe-utils/tree/main/skills/agent-development
Command: npx skills add https://github.com/spandios/vibe-utils --skill agent-development-spandios

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill provides comprehensive guidance and tools for creating, structuring, and validating autonomous agents for AI systems, ensuring robust and well-defined agent behavior.

Core Features & Use Cases

  • Agent Structure Definition: Learn the required file format, frontmatter fields (name, description, model, color, tools), and system prompt structure.
  • AI-Assisted Generation: Utilize prompts to generate agent configurations automatically.
  • Manual Creation Guidance: Follow step-by-step instructions for building agents from scratch.
  • Validation Rules: Understand criteria for agent identifiers, descriptions, and system prompts.
  • Best Practices: Discover guidelines for system prompt design, triggering examples, and agent organization.
  • Use Case: You need to create a new agent that can analyze code for security vulnerabilities. This Skill will guide you through defining its purpose, writing its system prompt, creating triggering examples, and validating its structure.

Quick Start

Use the agent-development skill to learn how to create a new agent by following the manual creation steps.

Frequently Asked Questions about agent-development

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

FAQPage Schema
How do I create an autonomous LLM agent from scratch?▼

To create an autonomous LLM agent, you define the required file format, populate frontmatter fields like name and model, and structure the system prompt. Manual creation guidance provides step-by-step instructions for building agents from scratch.

What is the required file format and structure for an autonomous agent?▼

The required file format for an autonomous agent includes specific frontmatter fields such as name, description, model, color, and tools, alongside a structured system prompt and defined triggering conditions.

Can I automatically generate an AI agent configuration instead of writing it manually?▼

Yes, you can automatically generate an AI agent configuration by utilizing AI-assisted generation prompts. This workflow supports creating agent structures and system prompts without following manual creation steps.

What are the validation rules for an autonomous agent's system prompt and identifiers?▼

Validation rules for an autonomous agent specify strict criteria for its identifiers, descriptions, and system prompts to ensure robust and well-defined behavior. These rules validate the structure before deployment.

What are the best practices for designing system prompts and triggering examples for AI agents?▼

Best practices for designing system prompts and triggering examples for AI agents include following detailed guidelines on prompt architecture and agent organization to ensure precise and robust autonomous behavior.

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