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* feat: add documentation website with Docusaurus build pipeline
* feat(docs): add AI discovery meta tags for llms.txt files
- Add global headTags with ai-terms, llms, llms-full meta tags
- Update landing page link to clarify AI context purpose
* fix(docs): restore accidentally deleted faq.md and glossary.md
Files were removed in 12dd97fe during path restructuring.
* fix(docs): update broken project-readme links to GitHub URL
* feat(schema): add compound trigger format validation
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BMAD Workflows Documentation
Welcome to the BMAD Workflows documentation - a modern system for creating structured, collaborative workflows optimized for AI execution.
📚 Core Documentation
Terms
Essential terminology and concepts for understanding BMAD workflows.
Architecture & Execution Model
The micro-file architecture, JIT step loading, state management, and collaboration patterns that make BMAD workflows optimal for AI execution.
Writing Workflows (TODO)
Complete guide to creating workflows: workflow.md control files, step files, CSV data integration, and frontmatter design.
Step Files & Dialog Patterns (TODO)
Crafting effective step files: structure, execution rules, prescriptive vs intent-based dialog, and validation patterns.
Templates & Content Generation (TODO)
Creating append-only templates, frontmatter design, conditional content, and dynamic content generation strategies.
Workflow Patterns (TODO)
Common workflow types: linear, conditional, protocol integration, multi-agent workflows, and real-world examples.
Migration Guide (TODO)
Converting from XML-heavy workflows to the new pure markdown format, with before/after examples and checklist.
Best Practices & Reference (TODO)
Critical rules, anti-patterns, performance optimization, debugging, quick reference templates, and troubleshooting.
🚀 Quick Start
BMAD workflows are pure markdown, self-contained systems that guide collaborative processes through structured step files where the AI acts as a facilitator working with humans.
This documentation covers the next generation of BMAD workflows - designed from the ground up for optimal AI-human collaboration.