Jira Ticket Estimator

概要

This skill provides a comprehensive framework for estimating Jira tickets by analyzing task complexity, project architecture, and file-touch overhead. It automatically classifies work types—such as bug fixes, refactors, or net-new features—and generates detailed, phase-by-phase time breakdowns for both traditional and AI-augmented development. By integrating with Jira via MCP and performing codebase reconnaissance, it offers data-driven story point assignments and T-shirt sizing while highlighting the potential time savings achievable through AI-assisted workflows.

主な機能

• 0 GitHub stars
• Automatic detection of manual time adjustments from ticket descriptions and titles
• Phase-by-phase time breakdowns based on project architecture like Monolithic, Serverless, or Mobile
• Intelligent task classification and complexity scoring across five key technical dimensions
• Dual-path estimation comparing manual vs. AI-assisted development workflows
• File-touch overhead calculation based on real-time repository reconnaissance

ユースケース

• Evaluating potential time savings when switching to an AI-assisted development approach
• Assigning story points and T-shirt sizes during sprint planning sessions
• Providing stakeholders with detailed time estimates for features, bugs, or refactors