# lb-bmad-skill

> Use this tool when you need to streamline AI-driven development processes with the BMad framework, solving problems of inefficient agile development and lack of AI integration. It takes in development project requirements and outputs optimized development workflows, enabling faster and more efficient project delivery. Ideal for use in complex AI-driven development projects requiring agile methodologies and collaboration.

Canonical page: https://skillsregistry.net/skills/leonaaardob-lb-bmad-skill  
JSON: https://api.skillsregistry.net/v1/skills/leonaaardob-lb-bmad-skill

## Description

Use BMad (Breakthrough Method of Agile AI Driven Development) framework for AI-driven development.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** other
- **Updated:** 2026-05-18

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/leonaaardob-lb-bmad-skill)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "leonaaardob-lb-bmad-skill"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/leonaaardob-lb-bmad-skill` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/leonaaardob-lb-bmad-skill/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt
