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agile-metrics敏捷指标

Agent Skill

agile-metrics 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

318

周安装

13

GitHub Stars

公开资料未说明

下载量

102
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:agile-metrics(敏捷指标)
来源仓库:https://github.com/djalmajr/essential-skills
仓库路径:skills/agile-metrics
安装命令:
npx skills add https://github.com/djalmajr/essential-skills --skill agile-metrics
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/djalmajr/essential-skills --skill agile-metrics

简介

agile-metrics 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 中围绕仓库状态或代码变更进行整理。

  • 它从 Sprint 工件中提取客观指标,生成量化总结,支持回顾会议与容量决策,避免依赖印象。
  • 通过 npx skills add 命令从指定 GitHub 仓库安装,需结合原始 README 核验具体用法和模板本地化。
  • 使用前应确认权限范围、维护状态,并评估是否触发文件读写或数据分析操作。
  • 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

Sprint Metrics

Use this skill to extract objective metrics from sprint artifacts and generate a quantitative summary.

Language

Write the artifact in the user's language. Apply correct grammar and any required diacritics or script-specific characters. If the user's language is unclear, ask before generating output. Templates are in English — translate headers and content to match.

Objective

  • Consolidate sprint data into concrete numbers
  • Feed retro and sprint review with facts, not impressions
  • Identify patterns between sprints (improvement or degradation)
  • Support capacity and planning decisions

When to use

  • At the end of the sprint, before review or retro
  • When the team needs data to discuss performance
  • To compare sprints and identify trends
  • When there is doubt if declared capacity is calibrated

Collected metrics

Delivery

  • Total planned stories/items
  • Total delivered vs not delivered
  • Completion rate (%)
  • Items added during the sprint (scope creep)
  • Items removed or postponed

Quality

  • Bugs found during the sprint
  • Bugs found after delivery
  • Test coverage (if measurable)
  • Lint, typecheck, or test failures at closing

Flow

  • Registered blockers (quantity and average duration)
  • Average time between story start and completion
  • Stories that returned from "done" to "in progress"

Process

  • Status checkpoints held vs expected
  • Status closure reports generated
  • Issues opened vs closed

Process

1. Collect data

Consult sprint artifacts:

  • Sprint planning (committed items)
  • Issues (opened, closed, blocked)
  • Status checkpoints (blockers, progress)
  • Status closure reports (executed verifications)
  • Commits and PRs (volume of changes)

2. Calculate metrics

Fill the template with real numbers. Don't round to look better — precision matters more than appearance.

3. Analyze trends

If there is data from previous sprints, compare:

  • Is the completion rate improving?
  • Are blockers decreasing?
  • Is scope creep under control?

4. Generate summary

The summary must be short enough to read in 2 minutes.

Template

# Sprint Metrics: <Sprint>

## Context
- Project/team:
- Period:
- Declared capacity:

## Delivery
- Planned: X items
- Delivered: Y items (Z%)
- Added during sprint: W items
- Removed/postponed: V items

## Quality
- Bugs during sprint: N
- Bugs post-delivery: N
- Lint/typecheck/tests: passed / failed (detail)

## Flow
- Blockers: N (average duration: X days)
- Average time per story: X days
- Reopenings: N stories

## Process
- Status checkpoints: X of Y expected
- Closure reports: X of Y deliveries
- Issues closed: X of Y

## Trend vs previous sprint
- Completion rate: up/down/stable (X% vs Y%)
- Blockers: more/less/same
- Scope creep: more/less/same

## Highlights for retro
- Positive point:
- Attention point:
- Action suggestion:

Rules

  • Metrics are reflection tools, not judgment tools. The goal is to improve the process, not evaluate people.
  • Never manipulate numbers to look better. If the sprint was bad, the numbers should reflect that — and the retro should discuss why.
  • Compare sprints carefully. Different contexts (vacations, external blockers, team changes) invalidate direct comparisons.
  • Metrics without discussion are useless. Always present within a retro or review, never as an autonomous report.

Relationship with the flow

flowchart LR
    A["/agile-sprint"] --> B[execution]
    B --> C["/agile-status"]
    C --> D["/agile-metrics"]
    D --> E["/agile-review"]
    E --> F["/agile-retro"]

Sprint metrics feeds /agile-review and /agile-retro. Use /agile-status for tracking during the sprint.

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

35.27%
按下载量换算36

Claude

29.17%
按下载量换算30

Cursor

19.48%
按下载量换算20

Gemini CLI

8.58%
按下载量换算9

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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