Token导航 LogoToken导航

Agent Skill · 研究检索

bmad-sprint-planning(bmad 冲刺计划)

用于处理 Jira 项目、任务、缺陷、Sprint、负责人和状态流转。它适合让 Agent 辅助查询工单、汇总迭代进展、创建任务或整理需求和缺陷信息。使用时要确认项目权限、字段配置和工作流规则,不同团队的 Issue 类型、状态和必填字段可能不同;涉及批量改状态、改负责人或创建工单时,应先预览变更内容再执行。

bmad-sprint-planning 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为执行命令;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 28,535。

总安装 3,207周安装 131GitHub Stars 45,917下载 1,038核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

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-sprint-planning(bmad 冲刺计划)
来源仓库:https://github.com/bmad-code-org/bmad-method
仓库路径:skills/bmad-sprint-planning
安装命令:
npx skills add https://github.com/bmad-code-org/bmad-method --skill bmad-sprint-planning
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-sprint-planning

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

bmad-sprint-planning 用于 Jira 项目管理和 Sprint 进度跟踪。适用于 Codex、Claude、Cursor、Gemini CLI,支持工单查询与状态汇总。自动生成 sprint-status.yaml 文件以结构化呈现迭代进展。使用前需确认项目权限、字段配置及批量操作的风险控制。

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。

来源仓库内路径:skills/bmad-sprint-planning

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/bmad-code-org/bmad-method --skill bmad-sprint-…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要执行命令,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

bmad-sprint-planning 怎么安装?

在终端执行 npx skills add https://github.com/bmad-code-org/bmad-method --skill bmad-sprint-planning。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

bmad-sprint-planning 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

bmad-sprint-planning 需要什么权限?

权限级别是执行命令。安装流程涉及命令执行,可能通过 npx skills add https://github.com/bmad-code-org/bmad-method --skill bmad-sprint-planning 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

bmad-sprint-planning 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

bmad-sprint-planning 用的人多吗?

公开数据是累计安装 3,207 次,近一周安装 131 次,下载 1,038 次,GitHub 45,917 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

bmad-sprint-planning 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。
  • 来源仓库有 45,917 星,维护活跃度相对可查。

先想清楚的地方

  • 需要执行命令,装到常用环境前要先评估影响面。
  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 不能接受 Skill 在你机器上执行命令的人。
  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
bmad-sprint-planning

bmad 冲刺计划 · 本页

3,20745,917执行命令未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Sprint Planning Workflow

Goal: Generate sprint status tracking from epics, detecting current story statuses and building a complete sprint-status.yaml file.

Your Role: You are a Developer generating and maintaining sprint tracking. Parse epic files, detect story statuses, and produce a structured sprint-status.yaml.

Conventions

  • Bare paths (e.g. checklist.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, user_name
  • communication_language, document_output_language
  • implementation_artifacts
  • planning_artifacts
  • date as system-generated current datetime
  • YOU MUST ALWAYS SPEAK OUTPUT in your Agent communication style with the config {communication_language}
  • 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.

Paths

  • tracking_system = file-system
  • project_key = NOKEY
  • story_location = {implementation_artifacts}
  • story_location_absolute = {implementation_artifacts}
  • epics_location = {planning_artifacts}
  • epics_pattern = *epic*.md
  • status_file = {implementation_artifacts}/sprint-status.yaml

Input Files

InputPathLoad Strategy
Epics{planning_artifacts}/*epic*.md (whole) or {planning_artifacts}/*epic*/*.md (sharded)FULL_LOAD

Execution

Document Discovery - Full Epic Loading

Strategy: Sprint planning needs ALL epics and stories to build complete status tracking.

Epic Discovery Process:

  1. Search for whole document first - Look for epics.md, bmm-epics.md, or any *epic*.md file
  2. Check for sharded version - If whole document not found, look for epics/index.md
  3. If sharded version found:

- Read index.md to understand the document structure - Read ALL epic section files listed in the index (e.g., epic-1.md, epic-2.md, etc.) - Process all epics and their stories from the combined content - This ensures complete sprint status coverage

  1. Priority: If both whole and sharded versions exist, use the whole document

Fuzzy matching: Be flexible with document names - users may use variations like epics.md, bmm-epics.md, user-stories.md, etc.

For each epic file found, extract:

  • Epic numbers from headers like ## Epic 1: or ## Epic 2:
  • Story IDs and titles from patterns like ### Story 1.1: User Authentication
  • Convert story format from Epic.Story: Title to kebab-case key: epic-story-title

Story ID Conversion Rules:

  • Original: ### Story 1.1: User Authentication
  • Replace period with dash: 1-1
  • Convert title to kebab-case: user-authentication
  • Final key: 1-1-user-authentication

Build complete inventory of all epics and stories from all epic files

  1. Epic entry - Key: epic-{num}, Default status: backlog
  2. Story entries - Key: {epic}-{story}-{title}, Default status: backlog
  3. Retrospective entry - Key: epic-{num}-retrospective, Default status: optional

Example structure:

development_status:
  epic-1: backlog
  1-1-user-authentication: backlog
  1-2-account-management: backlog
  epic-1-retrospective: optional

Story file detection:

  • Check: {story_location_absolute}/{story-key}.md (e.g., stories/1-1-user-authentication.md)
  • If exists → upgrade status to at least ready-for-dev

Preservation rule:

  • If existing {status_file} exists and has more advanced status, preserve it
  • Never downgrade status (e.g., don't change done to ready-for-dev)

Status Flow Reference:

  • Epic: backlog → in-progress → done
  • Story: backlog → ready-for-dev → in-progress → review → done
  • Retrospective: optional ↔ done

File Structure:

# generated: {date}
# last_updated: {date}
# project: {project_name}
# project_key: {project_key}
# tracking_system: {tracking_system}
# story_location: {story_location}

# STATUS DEFINITIONS:
# ==================
# Epic Status:
#   - backlog: Epic not yet started
#   - in-progress: Epic actively being worked on
#   - done: All stories in epic completed
#
# Epic Status Transitions:
#   - backlog → in-progress: Automatically when first story is created (via create-story)
#   - in-progress → done: Manually when all stories reach 'done' status
#
# Story Status:
#   - backlog: Story only exists in epic file
#   - ready-for-dev: Story file created in stories folder
#   - in-progress: Developer actively working on implementation
#   - review: Ready for code review (via Dev's code-review workflow)
#   - done: Story completed
#
# Retrospective Status:
#   - optional: Can be completed but not required
#   - done: Retrospective has been completed
#
# WORKFLOW NOTES:
# ===============
# - Epic transitions to 'in-progress' automatically when first story is created
# - Stories can be worked in parallel if team capacity allows
# - Developer typically creates next story after previous one is 'done' to incorporate learnings
# - Dev moves story to 'review', then runs code-review (fresh context, different LLM recommended)

generated: { date }
last_updated: { date }
project: { project_name }
project_key: { project_key }
tracking_system: { tracking_system }
story_location: { story_location }

development_status:
  # All epics, stories, and retrospectives in order

Write the complete sprint status YAML to {status_file} CRITICAL: Metadata appears TWICE - once as comments (#) for documentation, once as YAML key:value fields for parsing Ensure all items are ordered: epic, its stories, its retrospective, next epic...

  • Every epic in epic files appears in {status_file}
  • Every story in epic files appears in {status_file}
  • Every epic has a corresponding retrospective entry
  • No items in {status_file} that don't exist in epic files
  • All status values are legal (match state machine definitions)
  • File is valid YAML syntax

Count totals:

  • Total epics: {{epic_count}}
  • Total stories: {{story_count}}
  • Epics in-progress: {{in_progress_count}}
  • Stories done: {{done_count}}

Display completion summary to {user_name} in {communication_language}:

Sprint Status Generated Successfully

  • File Location: {status_file}
  • Total Epics: {{epic_count}}
  • Total Stories: {{story_count}}
  • Epics In Progress: {{in_progress_count}}
  • Stories Completed: {{done_count}}

Next Steps:

  1. Review the generated {status_file}
  2. Use this file to track development progress
  3. Agents will update statuses as they work
  4. Re-run this workflow to refresh auto-detected statuses

Run: python3 {project-root}/_bmad/scripts/resolve_customization.py --skill {skill-root} --key workflow.on_complete — if the resolved value is non-empty, follow it as the final terminal instruction before exiting.

Additional Documentation

Status State Machine

Epic Status Flow:

backlog → in-progress → done
  • backlog: Epic not yet started
  • in-progress: Epic actively being worked on (stories being created/implemented)
  • done: All stories in epic completed

Story Status Flow:

backlog → ready-for-dev → in-progress → review → done
  • backlog: Story only exists in epic file
  • ready-for-dev: Story file created (e.g., stories/1-3-plant-naming.md)
  • in-progress: Developer actively working
  • review: Ready for code review (via Dev's code-review workflow)
  • done: Completed

Retrospective Status:

optional ↔ done
  • optional: Ready to be conducted but not required
  • done: Finished

Guidelines

  1. Epic Activation: Mark epic as in-progress when starting work on its first story
  2. Sequential Default: Stories are typically worked in order, but parallel work is supported
  3. Parallel Work Supported: Multiple stories can be in-progress if team capacity allows
  4. Review Before Done: Stories should pass through review before done
  5. Learning Transfer: Developer typically creates next story after previous one is done to incorporate learnings

平台分布

Codex

34.72%
按下载量换算360

Claude

30.01%
按下载量换算312

Cursor

21.56%
按下载量换算224

Gemini CLI

9.31%
按下载量换算97

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

执行命令

安装流程涉及命令执行,可能通过 npx skills add https://github.com/bmad-code-org/bmad-method --skill bmad-sprint-planning 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

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。目前只有一个公开来源,建议同时核对源仓库。

继续浏览同类 Skills