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bmad-agent-builder

Generate complete agent skill scaffolds with SKILL.md, references, assets, and scripts.

Updated Apr 26, 2026
Search Tags:#discovery#memory#calibration#capabilities#agent-builder#bmad#skill-sketch
One-click install
npx skills add https://github.com/Wizarck/iguanatrader --skill bmad-agent-builder-wizarck
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: bmad-agent-builder
Source: https://github.com/Wizarck/iguanatrader/tree/main/skills/bmad-agent-builder
Command: npx skills add https://github.com/Wizarck/iguanatrader --skill bmad-agent-builder-wizarck

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill provides a guided, conversational approach to designing and scaffolding AI agents—defining identity, capabilities, memory, and interaction style—without requiring manual template stitching.

Core Features & Use Cases

  • Orchestrates discovery to define agent persona, capabilities, boundaries, and activation behavior.
  • Produces a complete agent skeleton (SKILL.md, references, assets, scripts) ready to deploy as a standalone or module.
  • Supports turning a user request like "create an agent" into a deployable agent skeleton with optional memory or PULSE features.

Quick Start

Describe the agent you want and I will generate a runnable agent skeleton you can review and deploy.

Frequently Asked Questions about bmad-agent-builder

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

FAQPage Schema
How do I create an AI agent from scratch without manually stitching templates?▼

Use a guided conversational discovery process to define agent identity, capabilities, memory, and activation behavior, which automatically generates a complete, deployable agent skeleton including SKILL.md, references, assets, and scripts.

What is conversational discovery for building agent skills?▼

Conversational discovery is an interactive process that captures your requirements for persona, boundaries, and interaction style to output a reviewable scaffold and a ready-to-run agent module with deterministic templates.

Can I generate an agent skeleton that includes memory and PULSE features?▼

Yes, you can turn a simple request like "create an agent" into a deployable agent skeleton, with optional support for adding memory or PULSE features during the discovery phase.

Do I need pyyaml to scaffold agent skills and generate routing information?▼

Yes, pyyaml is required as a dependency to produce a self-contained agent builder that outputs deterministic templates and routing information suitable for integration into a modular AI stack.

What is the best way to define agent capabilities and boundaries before deployment?▼

Orchestrate a discovery session to explicitly define agent persona, capabilities, boundaries, and activation behavior, ensuring the final skill unit is fully calibrated and ready to run.

Are there limitations when integrating generated agent skills into a modular AI stack?▼

The generated skill unit is self-contained and relies on deterministic templates and routing information for modular AI stack integration, meaning custom non-standard routing protocols may require manual adjustment post-generation.

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