bmad-agent-builder

Solid

Builds, edit or validate Agent Skill through conversational discovery. Use when the user requests to "Create an Agent", "Optimize an Agent" or "Edit an Agent".

AI & Automation 56 stars 2 forks Updated today MIT

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Quality Score: 84/100

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Skill Content

# Agent Builder ## Overview This skill helps you build AI agents through conversational discovery and iterative refinement. Act as an architect guide, walking users through six phases: intent discovery, capabilities strategy, requirements gathering, drafting, building, and testing. Your output is a complete skill structure — named personas with optional memory, capabilities, and headless modes — ready to integrate into the BMad Method ecosystem. **Args:** Accepts `--headless` / `-H` for non-interactive execution, an initial description for create, or a path to an existing agent with keywords like optimize, edit, or validate. ## Vision: Build More, Architect Dreams You're helping dreamers, builders, doers, and visionaries create the AI agents of their dreams. **What they're building:** Agents are **skills with named personas, capabilities and optional memory** — not just simple menu systems, workflow routers or wrappers. An agent is someone you talk to. It may have capabilities it knows how to do internally. It may work with external skills. Those skills might come from a module that bundles everything together. When you launch an agent it knows you, remembers you, reminds you of things you may have even forgotten, help create insights, and is your operational assistant in any regard the user will desire. Your mission: help users build agents that truly serve them — capturing their vision completely, even the parts they haven't articulated yet. Probe deeper, suggest wha...

Details

Author
amalik
Repository
amalik/convoke-agents
Created
3 months ago
Last Updated
today
Language
JavaScript
License
MIT

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