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bmad-workflow-builder

Build, convert, and analyze AI workflows and skill units.

Updated Apr 23, 2026
Search Tags:#automation#quality assurance#prompt engineering#workflow builder#skill conversion#skill analysis#html reports
One-click install
npx skills add https://github.com/ncptuan/stock_backtest_project --skill bmad-workflow-builder-ncptuan
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: bmad-workflow-builder
Source: https://github.com/ncptuan/stock_backtest_project/tree/main/.claude/skills/bmad-workflow-builder
Command: npx skills add https://github.com/ncptuan/stock_backtest_project --skill bmad-workflow-builder-ncptuan

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill helps you turn vague ideas for AI workflows or skills into structured, outcome-driven implementations without overengineering them. It also helps you repair, convert, and evaluate existing skills so they are leaner, clearer, and more effective.

Core Features & Use Cases

  • Workflow and Skill Creation: Guides discovery, classification, requirements gathering, and build planning for new AI workflows and skills.
  • Skill Conversion and Rebuilds: Converts existing skills or non-compliant formats into BMad-style, outcome-driven skill structures with comparison reporting.
  • Quality Analysis: Runs structured quality checks across skill design, prompt craft, execution efficiency, cohesion, script opportunities, and customization surface.
  • Use Case: If you have an existing internal AI skill that is bloated, hard to maintain, and inconsistent, use this Skill to analyze it, rebuild it around core outcomes, and generate a report showing what was removed, what was preserved, and why.

Quick Start

Ask the bmad-workflow-builder skill to build a new workflow, analyze an existing skill, or convert a skill folder into a lean BMad-compliant version.

Frequently Asked Questions about bmad-workflow-builder

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

FAQPage Schema
How do I convert existing AI skill directories into structured workflow formats?▼

To convert AI skill directories, you route the non-compliant folders through a conversion path that rebuilds them into BMad-style structures, generating comparison reports to show what was removed or preserved during the workflow conversion process.

How do I run a quality analysis on an AI workflow or skill?▼

You run a quality analysis by applying structured checks across skill design, prompt craft, execution efficiency, and cohesion, which then outputs deterministic linting results and HTML reports detailing the workflow's effectiveness.

What is the best way to build a new AI workflow from scratch?▼

The best way to build an AI workflow is to use a builder that guides discovery, classification, and requirements gathering, ensuring the final workflow is an outcome-driven and lean implementation without being overengineered.

Can I generate HTML reports for my AI skill quality reviews?▼

Yes, you can generate HTML reports for AI skill quality reviews by running the analysis scripts that evaluate prompt craft and execution efficiency, producing deterministic linting outputs for headless execution environments.

How do I fix a bloated AI skill that is hard to maintain?▼

To fix a bloated AI skill, you analyze its structure to run quality checks, rebuild it around core outcomes, and generate a report detailing exactly what unnecessary components were removed to make the workflow leaner.

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