Jira Ticket Estimator

What problem does it solve?

This Skill eliminates the guesswork and inconsistency in Jira ticket estimation, providing clear, data-driven time breakdowns for both manual and AI-assisted development workflows. It helps teams accurately plan sprints, forecast project timelines, and understand the true cost of work, reducing delays and improving predictability.

Core Features & Use Cases

• Dual Workflow Estimation: Get detailed time estimates for both traditional manual development and AI-assisted coding processes, highlighting potential time savings.
• Comprehensive Phase Breakdowns: Estimates are broken down into 6 manual phases (Planning & Design, Implementation, Self Review, Testing, Code Review, Deployment) or 7 AI-assisted phases, mirroring real-world development.
• Intelligent Classification: Automatically categorizes tasks (Net-New, Enhancement, Refactor, Bug Fix, Spike) and project types (Monolithic, Serverless, Frontend, Full-Stack, Mobile) to tailor estimates.
• Complexity-Driven Sizing: Scores tickets based on scope, technical complexity, testing, risk, and dependencies, then translates to T-shirt sizes and Fibonacci story points.
• Overhead Detection: Automatically identifies and adds time for common organizational overheads like database changes or security reviews.
• Use Case: Ideal for sprint planning, project managers needing accurate forecasts, and development teams looking to optimize their estimation process and leverage AI effectively.

Quick Start

Estimate PROJ-123 for our Laravel monolith