AGENT SKILL

bmad-help

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Apache-2.0
最近更新
2026-08-18
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02 资源文件 1

03 SKILL.md 正文

BMad Help

🆘 bmad-help | Your Intelligent Guide

Inspect your project state, detect what's been done, and recommend the next required or optional step.

How It Works

  1. Scan project — Look for existing artifacts (PRD, architecture, stories, sprint status, etc.)
  2. Detect modules — Check which BMad modules are installed
  3. Recommend next steps — Prioritized: required first, then optional
  4. Present with commands — Each recommendation includes the skill command

Usage

bmad-help

Or with a specific question:

bmad-help I have a trading app idea, where do I start?
bmad-help What should I do next?
bmad-help Show me what's been done so far

Project State Detection

Scans for these artifacts:

Artifact Path Indicates
Project Context _bmad-output/project-context.md Context generated
Product Brief _bmad-output/planning-artifacts/product-brief.md Analysis phase started
PRD _bmad-output/planning-artifacts/PRD.md Planning phase complete
Architecture _bmad-output/planning-artifacts/architecture.md Solutioning phase complete
Epics & Stories _bmad-output/planning-artifacts/epics-and-stories.md Stories created
Sprint Status _bmad-output/implementation-artifacts/sprint-status.yaml Sprint tracking active
Stories stories/*.md Stories in progress

Recommendations

Based on detected state, recommends:

If nothing exists:

  1. Generate project context (bmad-generate-project-context)
  2. Or start with brainstorming (bmad-brainstorming)

If only project context exists:

  1. Create product brief (bmad-product-brief)
  2. Or jump to PRD (bmad-create-prd)

If PRD exists but no architecture:

  1. Create architecture (bmad-create-architecture)

If architecture exists but no stories:

  1. Create epics & stories (bmad-create-epics-and-stories)

If stories exist but no sprint:

  1. Initialize sprint planning (bmad-sprint-planning)

If sprint is active:

  1. Pick next story and implement (bmad-dev-story)
  2. Or run code review (bmad-code-review)

Output

Context-aware recommendations with clear next steps and commands.

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