tapd-story-tasks-analysis

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Original

English
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Translation

Chinese

TAPD 需求任务分析

TAPD Requirement Task Analysis

分析指定 TAPD 需求下的任务情况。
Analyze the task status under the specified TAPD requirement.

使用场景

Usage Scenarios

  • 用户要求分析某个需求的任务排期
  • 用户想判断需求推进是否正常
  • 用户希望从任务角度识别延期风险、负责人分布或测试缺口
  • Users request to analyze task scheduling for a specific requirement
  • Users want to determine if the requirement progress is normal
  • Users hope to identify delay risks, responsible person distribution, or testing gaps from the task perspective

执行步骤

Execution Steps

  1. 先确认分析对象:
    • 用户直接给了
      story_id
      ,直接使用
    • 用户给的是本地 Markdown 文件,先读取 frontmatter 中的
      tapd_id
  2. 执行:
bash
tapd story get <story-id>
tapd story tasks <story-id> --all
  1. 读取:
    • references/analysis-output.md
  2. 按规范输出:
    • 分析对象
    • 总览
    • 关键汇总
    • 风险与问题
    • 建议动作
    • 明细
  1. First confirm the analysis target:
    • If the user directly provides a
      story_id
      , use it directly
    • If the user provides a local Markdown file, first read the
      tapd_id
      from the frontmatter
  2. Execute:
bash
tapd story get <story-id>
tapd story tasks <story-id> --all
  1. Read:
    • references/analysis-output.md
  2. Output in accordance with specifications:
    • Analysis target
    • Overview
    • Key summary
    • Risks and issues
    • Recommended actions
    • Details

分析重点

Analysis Focus

  • 进行中任务是否过少,导致整体推进偏慢
  • 未开始任务是否大量堆积在后段排期
  • 测试任务是否明显晚于开发任务
  • 是否存在负责人过于集中或无人负责的情况
  • 工时、时间窗口、任务状态是否匹配
  • Whether there are too few in-progress tasks, leading to slow overall progress
  • Whether a large number of unstarted tasks are piled up in the later scheduling period
  • Whether testing tasks are significantly later than development tasks
  • Whether there is a situation where responsible persons are overly concentrated or no one is in charge
  • Whether man-hours, time windows, and task status match

注意事项

Notes

  • 不要直接复制原始命令输出
  • 明细默认按
    进行中 / 未开始 / 已完成
    分组
  • 如果任务数量很多,只保留关键任务和异常任务
  • Do not directly copy the original command output
  • Details are grouped by
    In Progress / Not Started / Completed
    by default
  • If there are a large number of tasks, only keep key tasks and abnormal tasks