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bmad-agent-builder

Build, edit, and analyze AI agent skills through conversational discovery.

Updated Apr 2, 2026
Search Tags:#persona#scripts#headless#quality-analysis#agent-builder#agent-design#conversational-discovery
One-click install
npx skills add https://github.com/amitmishra-byldd/Bmad-Note-Maker --skill bmad-agent-builder-amitmishra-byldd
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: bmad-agent-builder
Source: https://github.com/amitmishra-byldd/Bmad-Note-Maker/tree/main/_bmad/bmb/bmad-agent-builder
Command: npx skills add https://github.com/amitmishra-byldd/Bmad-Note-Maker --skill bmad-agent-builder-amitmishra-byldd

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pyyaml>=6.0, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill guides creators through conversational discovery to design, build, edit, and quality-check AI agents that are outcome-driven rather than mechanically over-specified. It reduces wasted tokens and brittle behavior by enforcing persona-led prompts, selective scripting for deterministic work, and clear activation/headless patterns.

Core Features & Use Cases

  • Conversational Discovery & Build Process: Six-phase guided flow to capture intent, strategy, requirements, and produce a complete agent structure (persona, capabilities, optional memory, assets, and scripts).
  • Quality Analysis & Reporting: Deterministic lint scripts plus LLM scanners synthesize a capability dashboard, agent portrait, and ranked opportunities for improvement.
  • Script & Execution Guidance: Identifies script opportunities, PEP 723 patterns, headless execution contracts, and outputs ready-to-run artifacts in the configured skills folder.
  • Use Cases: Create a new agent from intent, convert/edit an existing agent to be outcome-driven, run automated quality scans, or enable headless builds in CI.

Quick Start

Invoke the builder and say: Create an agent that acts as a technical reviewer for pull requests and save it to the project's skills folder.

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 from scratch using conversational discovery?▼

To build an AI agent from scratch, conversational discovery guides you through a six-phase flow to capture intent and produce a complete outcome-driven persona, capabilities, optional memory, and assets.

What is the best way to convert an existing AI agent to be outcome-driven?▼

Converting an existing AI agent to be outcome-driven involves editing its persona and capabilities to enforce persona-led prompts and selective deterministic scripting, reducing wasted tokens and brittle behavior.

Can I run automated quality analysis on AI agent personas and capabilities?▼

Yes, you can run automated quality analysis on AI agent personas and capabilities using deterministic lint scripts and LLM scanners that synthesize a capability dashboard and ranked improvement opportunities.

Does the agent builder support headless execution and PEP 723 metadata for scripts?▼

The agent builder supports headless execution by identifying script opportunities and PEP 723 patterns, outputting ready-to-run deterministic artifacts with proper execution contracts.

Do I need pyyaml to generate AI agent skills and SKILL.md frontmatter routing?▼

You need pyyaml (version 6.0 or higher) to support the underlying scripts and metadata processing required to generate AI agent skills and satisfy SKILL.md frontmatter routing requirements.

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