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JIRA Story Point Estimator

Official

Data-driven Jira story point estimation

Software Engineering#planning#agile#estimation#jira#data-driven#sprint-planning#story-points
Authoropenshift-hyperfleet
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Jira story point estimation is often subjective and inconsistent, leading to unpredictable sprint velocity. This skill provides a data-driven approach to assign points by analyzing ticket details, historical velocity, and relative complexity, enabling more reliable planning.

Core Features & Use Cases

  • Data-driven estimation: Use ticket data and historical velocity to assign points consistently across projects.
  • Consistency across projects: Standardized point scales define a common language for sizing work.
  • Sprint planning support: Quickly size stories for planning meetings with data-backed estimates.

Quick Start

Analyze ticket details and historical velocity to estimate points for a Jira issue.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: JIRA Story Point Estimator
Download link: https://github.com/openshift-hyperfleet/hyperfleet-claude-plugins/archive/main.zip#jira-story-point-estimator

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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