Can it detect hidden dependencies?

Yes, it maps linked Jira issues and analyzes the local codebase to surface technical dependencies and cross-team blockers that might impact implementation.

What format does it use for requirements?

It generates structured markdown including technical design considerations, acceptance criteria checklists, and BDD-style Given-When-Then test scenarios.

Does it work for Epics?

Yes, the skill includes a specialized Epic Decomposition strategy that identifies user journeys, maps dependencies, and creates a multi-phase implementation roadmap.

How does this skill help with sprint planning?

It analyzes issue descriptions to suggest story points and breaks down large tasks into granular subtasks, making backlog grooming significantly faster and more accurate.

Jira Task Detailer

Name: Jira Task Detailer
Author: Lobbi-Docs

byLobbi-Docs

Productivity & Workflow

Enriches Jira issues with technical requirements, dependency mapping, and complexity estimates through intelligent analysis.

About

The Jira Task Detailer skill transforms vague tickets into actionable technical specifications by applying intelligent extraction and historical analysis. It identifies hidden requirements, maps cross-team dependencies, and assesses complexity to suggest accurate story points. By decomposing epics into granular subtasks and generating testable acceptance criteria, it streamlines sprint planning and ensures developers have the full context needed for successful implementation.

Key Features

Automated epic decomposition into user stories and subtasks
Intelligent requirement extraction from issue descriptions
Advanced dependency mapping for linked issues and codebase impact
Automated generation of Given-When-Then test scenarios
0 GitHub stars
Complexity assessment and story point estimation using historical patterns

Use Cases

Identifying architectural blockers and cross-team dependencies before starting development
Preparing vague Jira tickets for sprint planning and technical estimation
Breaking down large feature epics into manageable, testable work items

About

Key Features

Automated epic decomposition into user stories and subtasks
Intelligent requirement extraction from issue descriptions
Advanced dependency mapping for linked issues and codebase impact
Automated generation of Given-When-Then test scenarios
0 GitHub stars
Complexity assessment and story point estimation using historical patterns

Use Cases

Identifying architectural blockers and cross-team dependencies before starting development
Preparing vague Jira tickets for sprint planning and technical estimation
Breaking down large feature epics into manageable, testable work items