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bmad-quick-devbmad 快速开发

Agent Skill

bmad-quick-dev 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。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

3,105

周安装

132

GitHub Stars

45,870

下载量

1,088
CodexClaudeCursorGemini CLI

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-quick-dev(bmad 快速开发)
来源仓库:https://github.com/bmad-code-org/bmad-method
仓库路径:skills/bmad-quick-dev
安装命令:
npx skills add https://github.com/bmad-code-org/bmad-method --skill bmad-quick-dev
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-quick-dev

简介

bmad-quick-dev 用于快速处理 GitHub 仓库、Issue 和 Pull Request 协作信息。

  • 适用于 Codex、Claude、Cursor、Gemini CLI,支持代码变更追踪与团队协作管理。
  • 通过工作流驱动开发流程,确保任务结构清晰、依赖有序。
  • 安装前建议检查权限、维护状态及是否执行网络或文件操作。
  • 适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

SKILL.md

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.

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. Begin the workflow below.

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.

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

36.61%
按下载量换算398

Claude

27.9%
按下载量换算304

Cursor

20.51%
按下载量换算223

Gemini CLI

10.31%
按下载量换算112

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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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