Which story point scale does the estimator use?

It follows a modified Fibonacci sequence (0, 1, 3, 5, 8, 13), where an 8 requires a design document and a 13 indicates the story must be broken down into smaller tasks.

Does it automatically change my JIRA tickets?

No, it first provides a recommendation and reasoning. Once you agree with the estimate, you can instruct Claude to apply the points to the ticket using the integrated JIRA CLI commands.

How does this skill calculate story point recommendations?

The skill fetches the ticket's description and acceptance criteria, analyzes them for complexity and risk, and then queries your JIRA history for similar completed tickets to provide a benchmarked estimate.

What are the prerequisites for using this skill?

You need the JIRA CLI installed and authenticated on your machine so Claude can fetch ticket details and perform searches within your specific project.

JIRA Story Point Estimator

Name: JIRA Story Point Estimator
Author: openshift-hyperfleet

byopenshift-hyperfleet

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生产力与工作流

Automates story point estimation for JIRA tickets by analyzing technical complexity and benchmarking against historical team data.

关于

The JIRA Story Point Estimator skill streamlines agile refinement by providing data-driven sizing recommendations for your backlog. It automatically fetches ticket details via the JIRA CLI, evaluates scope and risk factors, and compares the current task against recently completed stories to ensure consistent point allocation. By standardizing the estimation process through a modified Fibonacci sequence and providing clear reasoning for every recommendation, it helps teams reduce bias, avoid planning fallacies, and maintain a more predictable sprint velocity.

主要功能

Anti-pattern detection to prevent scope creep and anchoring
Historical benchmarking against completed JIRA stories
2 GitHub stars
Detailed estimation reports with confidence levels
Automated scope and technical complexity analysis
Direct JIRA field updates via integrated CLI commands

使用场景

Speeding up backlog refinement and sprint planning sessions
Ensuring consistent sizing across different team members
Onboarding new developers to the team's specific pointing standards

关于

主要功能

Anti-pattern detection to prevent scope creep and anchoring
Historical benchmarking against completed JIRA stories
2 GitHub stars
Detailed estimation reports with confidence levels
Automated scope and technical complexity analysis
Direct JIRA field updates via integrated CLI commands

使用场景

Speeding up backlog refinement and sprint planning sessions
Ensuring consistent sizing across different team members
Onboarding new developers to the team's specific pointing standards