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bmad-agent-builder

Guide users through building, editing, and analyzing AI Agent Skills.

Updated Dec 26, 2025
Search Tags:#discovery#agent#AI#skill#conversational
One-click install
npx skills add https://github.com/tiween/tiween --skill bmad-agent-builder-tiween
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: bmad-agent-builder
Source: https://github.com/tiween/tiween/tree/main/.agents/skills/bmad-agent-builder
Command: npx skills add https://github.com/tiween/tiween --skill bmad-agent-builder-tiween

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill helps users build, edit, or analyze AI Agent Skills by guiding them through a conversational discovery process. It is useful when users want to create an Agent, analyze an existing one, or edit its capabilities.

Core Features & Use Cases

  • Conversational Discovery: Guides users through a conversational process to define their Agent's identity, capabilities, and memory.
  • Agent Types: Supports building different types of Agents, including Stateless, Memory, and Autonomous Agents.
  • Quality Analysis: Provides a comprehensive quality analysis of existing Agents to identify opportunities for improvement.
  • Customization: Allows users to customize Agents by adding new capabilities, modifying existing ones, or configuring various settings.

Quick Start

Use the bmad-agent-builder skill to create a new Agent. Start by providing a name and a description for your Agent, then follow the conversational prompts to define its capabilities and memory.

Frequently Asked Questions about bmad-agent-builder

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

FAQPage Schema
How do I build an AI agent through conversational discovery?▼

You can build an AI agent through conversational discovery by providing a name and description, then following guided prompts to define its identity, capabilities, and memory configuration.

What types of AI agents can I create and customize?▼

You can create and customize Stateless, Memory, and Autonomous AI agents, modifying their existing capabilities or configuring various settings to fit your specific use case.

How can I analyze an existing AI agent for quality improvements?▼

You can analyze an existing AI agent for quality improvements by running a comprehensive quality analysis that identifies opportunities to enhance its capabilities and configuration.

Do I need Python to build and edit AI agent skills?▼

Yes, you need Python installed because the skill requires it for scripting and configuration management when building, editing, or analyzing AI agents.

What's the best way to add new capabilities to an existing autonomous agent?▼

The best way to add new capabilities to an existing autonomous agent is using the customization feature, which allows you to modify capabilities and configure settings through guided conversational prompts.

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