bmad-help
Analyzes current state and user query to answer BMad questions or recommend the next skill(s) to use. Use when user asks for help, bmad help, what to do next, or what to start with in BMad.
- License 许可
- MIT
- 最近更新
- 2026-08-25
- Stars
- ★ 172
- Forks
- 60
01 前言 Front Matter
- name
- bmad-help
- description
- Analyzes current state and user query to answer BMad questions or recommend the next skill(s) to use. Use when user asks for help, bmad help, what to do next, or what to start with in BMad.
03 SKILL.md 正文
BMad Help
Purpose
Help the user understand where they are in their BMad workflow and what to do next, and also answer broader questions when asked that could be augmented with remote sources such as module documentation sources.
Desired Outcomes
When this skill completes, the user should:
- Know where they are — which module and phase they're in, what's already been completed
- Know what to do next — the next recommended and/or required step, with clear reasoning
- Know how to invoke it — skill name, menu code, action context, and any args that shortcut the conversation
- Get offered a quick start — when a single skill is the clear next step, offer to run it for the user right now rather than just listing it
- Feel oriented, not overwhelmed — surface only what's relevant to their current position; don't dump the entire catalog
- Get answers to general questions — when the question doesn't map to a specific skill, use the module's registered documentation to give a grounded answer
Data Sources
- Catalog:
{project-root}/_bmad/_config/bmad-help.csv— assembled manifest of all installed module skills - Config:
config.yamlanduser-config.yamlfiles in{project-root}/_bmad/and its subfolders — resolveoutput-locationvariables, providecommunication_languageandproject_knowledge - Artifacts: Files matching
outputspatterns at resolvedoutput-locationpaths reveal which steps are possibly completed; their content may also provide grounding context for recommendations - Project knowledge: If
project_knowledgeresolves to an existing path, read it for grounding context. Never fabricate project-specific details. - Module docs: Rows with
_metain theskillcolumn carry a URL or path inoutput-locationpointing to the module's documentation (e.g., llms.txt). Fetch and use these to answer general questions about that module.
CSV Interpretation
The catalog uses this format:
module,skill,display-name,menu-code,description,action,args,phase,after,before,required,output-location,outputs
Phases determine the high-level flow:
anytime— available regardless of workflow state- Numbered phases (
1-analysis,2-planning, etc.) flow in order; naming varies by module
Dependencies determine ordering within and across phases:
after— skills that should ideally complete before this onebefore— skills that should run after this one- Format:
skill-namefor single-action skills,skill-name:actionfor multi-action skills
Required gates:
required=trueitems must complete before the user can meaningfully proceed to later phases- A phase with no required items is entirely optional — recommend it but be clear about what's actually required next
Completion detection:
- Search resolved output paths for
outputspatterns - Fuzzy-match found files to catalog rows
- User may also state completion explicitly, or it may be evident from the current conversation
Descriptions carry routing context — some contain cycle info and alternate paths (e.g., "back to DS if fixes needed"). Read them as navigation hints, not just display text.
Response Format
For each recommended item, present:
[menu-code]Display name — e.g., "[CP] Create PRD"- Skill name in backticks — e.g.,
bmad-create-prd - For multi-action skills: action invocation context — e.g., "tech-writer lets create a mermaid diagram!"
- Description if present in CSV; otherwise your existing knowledge of the skill suffices
- Args if available
Ordering: Show optional items first, then the next required item. Make it clear which is which.
Constraints
- Present all output in
{communication_language} - Recommend running each skill in a fresh context window
- Match the user's tone — conversational when they're casual, structured when they want specifics
- If the active module is ambiguous, retrieve all meta rows remote sources to find relevant info also to help answer their question
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