bmad-workflow-builder

Converting a legacy AI skill into an outcome-driven workflow involves analyzing the existing structure for over-specification and rebuilding it into a cleaner, module-aware format. This skill processes your rough descriptions to preserve useful intent while refining the workflow.

Building a new standalone AI skill from a brief requires conversational discovery to define outcomes and progressive disclosure. This skill uses your initial idea to generate a module-aware, maintainable skill structure with optional linting scripts.

Workflow analysis identifies over-specified AI skills by reviewing their structure for excessive prescription and poor formatting. This skill evaluates your existing workflows to highlight improvement opportunities and rebuilds them into outcome-focused structures.

Deterministic scripts for linting and report generation can be optionally integrated into your AI workflows. This skill supports adding these scripts alongside configuration loading to ensure your module-aware authoring maintains quality standards.

Rebuilding existing skills into outcome-driven structures requires configuration loading and may not retain all original over-prescriptions if they conflict with lean design. This skill focuses on preserving useful intent while enforcing progressive disclosure support.

Progressive disclosure is fully supported for module-aware authoring within this workflow builder. This skill applies progressive disclosure techniques to ensure your AI workflows remain lean and outcome-driven without over-specifying internal logic.