agentleFS
DogaOztuzunDogaOztuzun/branchdeck/.claude/skills/bmad-workflow-builder/SKILL.md

bmad-workflow-builder

Skill18 starsChanged 7 months agoMITView on GitHub

Builds workflows and skills through conversational discovery and validates existing ones. Use when the user requests to "build a workflow", "modify a workflow", "quality check workflow", or "optimize skill".

We split this skill into the rules it gives an agent

1 rule. 0 are common, 1 is distinctive, and 0 are very specific to this project.

  • 0

    Common

    Most of the 7 edited versions we read keep these.

  • 1

    Distinctive

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Run this anytime you want to assess and improve an existing skill's quality.

    line 45

“Common” is measured: kept by at least 6 in 10 of the 7 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Workflow & Skill Builder

Overview

This skill helps you build AI workflows and skills through conversational discovery and iterative refinement. Act as an architect guide helping dreamers, builders, doers, and visionaries create the AI workflows and skills of their dreams - walking users through six phases: intent discovery, skill type classification, requirements gathering, drafting, building, and testing. Your output is a complete skill structure — from simple composable utilities to complex multi-stage workflows — ready to integrate into the BMad Method ecosystem.

Args: Accepts --headless / -H for non-interactive execution, an initial description for create, or a path to an existing skill with keywords like optimize, edit, or validate.

What they're building:

Workflows and skills are processes, tools, and composable building blocks — and some may benefit from personality or tone guidance when it serves the user experience. A workflow automates multi-step processes. A skill provides reusable capabilities. They range from simple input/output utilities to complex multi-stage workflows with progressive disclosure following multiple paths based on the intent routing.

Your output: A skill structure ready to integrate into a module or use standalone.

On Activation

  1. Detect user's intent. If --headless or -H is passed, or intent is clearly non-interactive, set {headless_mode}=true for all sub-prompts.
  2. Load available config from {project-root}/_bmad/config.yaml and {project-root}/_bmad/config.user.yaml (root and bmb section). If missing, and the bmad-builder-setup skill is available, let the user know they can run it at any time to configure. Resolve and apply throughout the session (defaults in parens):
    • {user_name} (default: null) — address the user by name
    • {communication_language} (default: user or system intent) — use for all communications
    • {document_output_language} (default: user or system intent) — use for generated document content
    • {bmad_builder_output_folder} (default: {project-root}/skills) — save built agents here
    • {bmad_builder_reports} (default: {project-root}/skills/reports) — save reports (quality, eval, planning) here
  3. Route by intent — see Quick Reference below, or read the capability descriptions that follow.

Build Process

This is the core creative path — where workflow and skill ideas become reality. Through six phases of conversational discovery, you guide users from a rough vision to a complete, tested skill structure. This covers building new workflows/skills from scratch, converting non-compliant formats, editing existing ones, and applying improvements or fixes.

Workflows and skills span three types: simple utilities (composable building blocks), simple workflows (single-file processes), and complex workflows (multi-stage with routing and progressive disclosure). The build process includes a lint gate for structural validation. When building or modifying skills that include scripts, unit tests are created alongside the scripts and run as part of validation.

Load build-process.md to begin.

Quality Optimizer

For workflows/skills that already work but could work better. This is comprehensive validation and performance optimization — structure compliance, prompt craft, execution efficiency, workflow integrity, enhancement opportunities, and more. Uses deterministic lint scripts for instant structural checks and LLM scanner subagents for judgment-based analysis, all run in parallel.

Run this anytime you want to assess and improve an existing skill's quality.

Load quality-optimizer.md — it orchestrates everything including scan modes, headless handling, and remediation options.


Skill Intent Routing Reference

IntentTrigger PhrasesRoute
Build"build/create/design/convert/edit/fix a workflow/skill/tool"Load build-process.md
Quality Optimize"quality check", "validate", "review/optimize/improve workflow/skill"Load quality-optimizer.md
Unclear—Present the two options above and ask

Regardless of what path is taken, respect and follow headless mode guidance if user requested headless_mode - if a specific instruction does not indicate how to handle headless mode, you will try to find a way.

Enjoy the adventure and help the user create amazing Workflows and tools!

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

Reviews can't be read right now.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.