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afrexai-sprint-plannerAfrexai 冲刺计划

Agent Skill

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。

总安装

26,574

周安装

1,075

GitHub Stars

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下载量

8,342
OpenClaw

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

MIT-0

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:afrexai-sprint-planner(Afrexai 冲刺计划)
来源仓库:https://github.com/1kalin/afrexai-sprint-planner
安装命令:
openclaw skills install afrexai-sprint-planner
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 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install afrexai-sprint-planner

简介

通过容量数学、优先待办事项、冲刺目标、每日站立模板和复古提示生成敏捷的冲刺计划,以确保集中交付。

SKILL.md

Sprint Planner

Plan, scope, and run agile sprints that actually ship. No ceremony bloat.

What It Does

Takes your backlog (or a rough list of tasks) and produces a sprint plan with:

  • Capacity math (team size × available days × focus factor)
  • Story point allocation with buffer
  • Sprint goal + success criteria
  • Daily standup template
  • Retro prompts tied to metrics

Usage

Tell your agent: "Plan a 2-week sprint for [team/project]" with:

  • Team size and availability
  • Backlog items (paste or describe them)
  • Any hard deadlines or dependencies

Sprint Planning Framework

1. Capacity Calculation

Available hours = team_size × sprint_days × hours_per_day × focus_factor
focus_factor = 0.7 (accounts for meetings, interrupts, context switching)

2. Backlog Prioritization (RICE)

Score each item:

  • Reach: How many users/processes does this affect? (1-10)
  • Impact: How much does it move the needle? (0.25, 0.5, 1, 2, 3)
  • Confidence: How sure are you about estimates? (0.5, 0.8, 1.0)
  • Effort: Person-days to complete

RICE Score = (Reach × Impact × Confidence) / Effort

Sort descending. Fill sprint capacity from top.

3. Sprint Goal

One sentence. Measurable. Example: "Ship user onboarding flow — 80% of new signups complete setup within 48 hours."

4. Buffer Rule

Reserve 20% capacity for unplanned work. If you're filling 100% of capacity, you're already behind.

5. Definition of Done

Every item needs:

  • [ ] Code reviewed and merged
  • [ ] Tests passing
  • [ ] Deployed to staging
  • [ ] Product owner sign-off

6. Daily Standup (async-friendly)

Each person posts:

  1. What I shipped yesterday
  2. What I'm shipping today
  3. What's blocking me (if anything)

Skip "what I worked on" — focus on shipped output.

7. Sprint Retro (15 min max)

  • Velocity: Planned points vs completed points
  • Carry-over: What didn't get done and why?
  • One thing to change: Pick ONE process improvement. Not five.

8. Anti-Patterns to Flag

  • Sprint scope changed mid-sprint more than once
  • No items completed until final 2 days
  • Carry-over exceeds 30% of planned work
  • Standup takes more than 10 minutes

Output Format

# Sprint [N] Plan — [Start Date] to [End Date]

## Sprint Goal
[One sentence]

## Team Capacity
- Team: [N] engineers × [D] days × 0.7 focus = [H] available hours
- Buffer: 20% ([B] hours reserved)
- Committable: [C] hours

## Committed Items
| # | Item | Points | Owner | RICE | Status |
|---|------|--------|-------|------|--------|
| 1 | ...  | ...    | ...   | ...  | To Do  |

## Stretch Goals (if capacity allows)
| # | Item | Points |
|---|------|--------|

## Risks & Dependencies
- ...

## Success Criteria
- [ ] Sprint goal met
- [ ] Velocity within 15% of target
- [ ] Zero critical bugs introduced

Why This Works

Most sprint planning fails because teams skip capacity math and overcommit. This framework forces honest numbers first, then fills from a prioritized backlog. The 20% buffer isn't laziness — it's how you actually hit your commitments.

Built by AfrexAI — AI context packs for business teams. Get the full SaaS Context Pack ($47) for sprint planning, roadmap templates, and 40+ agent-ready frameworks.

适合场景

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能力概览

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能力 3

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能力 4

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能力 5

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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

OpenClaw

92.42%
按下载量换算7,710

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需要联网

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安装前确认

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