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bmad-help帮助

Agent Skill

bmad-help 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

3,466

周安装

143

GitHub Stars

45,882

下载量

1,133
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安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:bmad-help(帮助)
来源仓库:https://github.com/bmad-code-org/bmad-method
仓库路径:skills/bmad-help
安装命令:
npx skills add https://github.com/bmad-code-org/bmad-method --skill bmad-help
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/bmad-code-org/bmad-method --skill bmad-help

简介

bmad-help 提供 BMad 工作流导航与通用问题解答支持。

  • 帮助用户明确所处阶段、下一步行动与技能调用方式。
  • 可结合远程文档源增强回答准确性,缩短学习曲线。bmad-help 属于研究检索类 Skill,可作为该场景下的辅助能力补充。
  • 输出包含模块位置、推荐步骤与快捷操作码的指引卡片。
  • 安装后随时可用,特别适合新手入门与流程中断恢复。

SKILL.md

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:

  1. Know where they are — which module and phase they're in, what's already been completed
  2. Know what to do next — the next recommended and/or required step, with clear reasoning
  3. Know how to invoke it — skill name, menu code, action context, and any args that shortcut the conversation
  4. 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
  5. Feel oriented, not overwhelmed — surface only what's relevant to their current position; don't dump the entire catalog
  6. 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.yaml and user-config.yaml files in {project-root}/_bmad/ and its subfolders — resolve output-location variables, provide communication_language and project_knowledge
  • Artifacts: Files matching outputs patterns at resolved output-location paths reveal which steps are possibly completed; their content may also provide grounding context for recommendations
  • Project knowledge: If project_knowledge resolves to an existing path, read it for grounding context. Never fabricate project-specific details.
  • Module docs: Rows with _meta in the skill column carry a URL or path in output-location pointing 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 one
  • before — skills that should run after this one
  • Format: skill-name for single-action skills, skill-name:action for multi-action skills

Required gates:

  • required=true items 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 outputs patterns
  • 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

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

34.69%
按下载量换算393

Claude

28.41%
按下载量换算322

Cursor

19.14%
按下载量换算217

Gemini CLI

9.74%
按下载量换算110

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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