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create-agent

Create custom agents via interactive interview and YAML output.

3.4k|343|Updated Mar 21, 2026
Search Tags:#agent creation#Python scripting#interview process#custom AI agent#agent file generation
One-click install
npx skills add https://github.com/gnekt/My-Brain-Is-Full-Crew --skill create-agent-gnekt
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: create-agent
Source: https://github.com/gnekt/My-Brain-Is-Full-Crew/tree/main/tests/regression/snapshot/.claude/skills/create-agent
Command: npx skills add https://github.com/gnekt/My-Brain-Is-Full-Crew --skill create-agent-gnekt

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires yaml, python, meta, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill simplifies the process of creating custom agents by guiding users through a structured interview to ensure detailed understanding of their requirements.

Core Features & Use Cases

  • Interview-based Custom Agent Creation: Through a 6-phase conversation, it uncovers the purpose, triggers, and coordination rules for the agent.
  • Language-Specific Triggers and Descriptions: Ensures the agent responds in the user's language with the right triggers and descriptions.
  • Output File Generation: After the interview, it generates the agent file based on collected data.

Quick Start

Initiate the create-agent skill to build a new custom agent.

Frequently Asked Questions about create-agent

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

FAQPage Schema
How do I create a custom AI agent from scratch?▼

You can create a custom AI agent through a structured interview process that asks about its purpose, triggers, and rules, automatically generating a structured YAML definition file in your output directory.

What is an interview-based approach for custom agent generation?▼

An interview-based approach for custom agent generation uses a 6-phase conversation to uncover the agent's purpose, triggers, and coordination rules, ensuring the generated YAML file accurately matches your requirements.

Do I need Python scripting knowledge to generate agent files?▼

Python scripting knowledge is not strictly required to participate in the interview, but the Skill relies on Python execution and YAML formatting internally to validate collected answers and produce the agent definition file.

Can I define language-specific triggers for my custom agent?▼

Yes, you can define language-specific triggers and descriptions during the interview process, ensuring the generated custom agent responds correctly in the user's preferred language.

What format is used for structuring and validating custom agent definitions?▼

YAML file formatting is used to structure and validate the collected interview answers, producing a structured agent definition file in a predetermined output directory.

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