bmad-quick-dev

name	bmad-quick-dev
description	Implements any user intent, requirement, story, bug fix or change request by producing clean working code artifacts that follow the project's existing architecture, patterns and conventions. Use when the user wants to build, fix, tweak, refactor, add or modify any code, component or feature.

Quick Dev New Preview Workflow

Goal: Turn user intent into a hardened, reviewable artifact.

CRITICAL: If a step says "read fully and follow step-XX", you read and follow step-XX. No exceptions.

Subagents, when the capability is available, are an important part of this workflow. Use them as directed by the workflow steps. If you need an explicit user instruction to run them, ask once now for the whole workflow run.

READY FOR DEVELOPMENT STANDARD

A specification is "Ready for Development" when:

• Actionable: Every task has a file path and specific action.
• Logical: Tasks ordered by dependency.
• Testable: All ACs use Given/When/Then.
• Complete: No placeholders or TBDs.

SCOPE STANDARD

A specification should target a single user-facing goal within 900–1600 tokens:

• Single goal: One cohesive feature, even if it spans multiple layers/files. Multi-goal means >=2 top-level independent shippable deliverables — each could be reviewed, tested, and merged as a separate PR without breaking the others. Never count surface verbs, "and" conjunctions, or noun phrases. Never split cross-layer implementation details inside one user goal.
  • Split: "add dark mode toggle AND refactor auth to JWT AND build admin dashboard"
  • Don't split: "add validation and display errors" / "support drag-and-drop AND paste AND retry"
• 900–1600 tokens: Optimal range for LLM consumption. Below 900 risks ambiguity; above 1600 risks context-rot in implementation agents.
• Neither limit is a gate. Both are proposals with user override.

Conventions

• Bare paths (e.g. step-01-clarify-and-route.md) resolve from the skill root.
• {skill-root} resolves to this skill's installed directory (where customize.toml lives).
• {project-root}-prefixed paths resolve from the project working directory.
• {skill-name} resolves to the skill directory's basename.

On Activation

Step 1: Resolve the Workflow Block

Run: python3 {project-root}/_bmad/scripts/resolve_customization.py --skill {skill-root} --key workflow

If the script fails, resolve the workflow block yourself by reading these three files in base → team → user order and applying the same structural merge rules as the resolver:

1. {skill-root}/customize.toml — defaults
2. {project-root}/_bmad/custom/{skill-name}.toml — team overrides
3. {project-root}/_bmad/custom/{skill-name}.user.toml — personal overrides

Any missing file is skipped. Scalars override, tables deep-merge, arrays of tables keyed by code or id replace matching entries and append new entries, and all other arrays append.

Step 2: Execute Prepend Steps

Execute each entry in {workflow.activation_steps_prepend} in order before proceeding.

Step 3: Load Persistent Facts

Treat every entry in {workflow.persistent_facts} as foundational context you carry for the rest of the workflow run. Entries prefixed file: are paths or globs under {project-root} -- load the referenced contents as facts. All other entries are facts verbatim.

Step 4: Load Config

Load config from {project-root}/_bmad/bmm/config.yaml and resolve:

• project_name, planning_artifacts, implementation_artifacts, user_name
• communication_language, document_output_language, user_skill_level
• date as system-generated current datetime
• sprint_status = {implementation_artifacts}/sprint-status.yaml
• project_context = **/project-context.md (load if exists)
• CLAUDE.md / memory files (load if exist)
• YOU MUST ALWAYS SPEAK OUTPUT in your Agent communication style with the config {communication_language}
• Language MUST be tailored to {user_skill_level}
• Generate all documents in {document_output_language}

Step 5: Greet the User

Greet {user_name}, speaking in {communication_language}.

Step 6: Execute Append Steps

Execute each entry in {workflow.activation_steps_append} in order.

Activation is complete. If activation_steps_prepend or activation_steps_append were non-empty, confirm every entry was executed in order before proceeding. Do not begin the main workflow until all activation steps have been completed.

WORKFLOW ARCHITECTURE

This uses step-file architecture for disciplined execution:

• Micro-file Design: Each step is self-contained and followed exactly
• Just-In-Time Loading: Only load the current step file
• Sequential Enforcement: Complete steps in order, no skipping
• State Tracking: Persist progress via spec frontmatter and in-memory variables
• Append-Only Building: Build artifacts incrementally

Step Processing Rules

1. READ COMPLETELY: Read the entire step file before acting
2. FOLLOW SEQUENCE: Execute sections in order
3. WAIT FOR INPUT: Halt at checkpoints and wait for human
4. LOAD NEXT: When directed, read fully and follow the next step file

Critical Rules (NO EXCEPTIONS)

• NEVER load multiple step files simultaneously
• ALWAYS read entire step file before execution
• NEVER skip steps or optimize the sequence
• ALWAYS follow the exact instructions in the step file
• ALWAYS halt at checkpoints and wait for human input

FIRST STEP

Read fully and follow: ./step-01-clarify-and-route.md to begin the workflow.