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jira-intelligence

Automate Jira ticket management, story splitting, dependency detection, and estimation.

Updated Mar 15, 2026
Search Tags:#project management#jira#jql#story splitting#dependency detection#story estimation
One-click install
npx skills add https://github.com/a53ali/ai-dev --skill jira-intelligence
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: jira-intelligence
Source: https://github.com/a53ali/ai-dev/tree/main/skills/cross-cutting/jira-intelligence
Command: npx skills add https://github.com/a53ali/ai-dev --skill jira-intelligence

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires jira_mcp, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides Jira-like intelligence directly through the AI agent, eliminating the need for Jira Premium. It offers a suite of seven commands to enhance ticket management and project oversight.

Core Features & Use Cases

  • Work Breakdown: Automatically generate child stories from epics.
  • Story Enhancement: Rewrite vague tickets and fill in acceptance criteria.
  • Comment Summary: Summarize comment threads for quick insights.
  • Edge Case Generator: Identify potential edge cases for thorough testing.
  • Dependency Detector: Analyze dependencies between stories and suggest delivery sequencing.
  • Story Point Estimator: Estimate story complexity and effort.
  • Natural Language to JQL: Translate natural language queries to JQL for easy Jira searches.
  • Use Case: A manager can use this Skill to quickly assess a large backlog, identify dependencies, and estimate story points without leaving the AI interface.

Quick Start

Use the jira-intelligence skill to summarize comments in the ticket with key decisions and action items.

Frequently Asked Questions about jira-intelligence

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate Jira story splitting and dependency detection without a Premium license?▼

Story splitting and dependency detection are automated by processing Jira tickets through an AI agent using natural language commands. It analyzes epics to generate child stories and maps story relationships to suggest delivery sequencing without requiring Jira Premium.

Can I convert natural language queries to JQL for searching Jira tickets?▼

Natural language queries are translated directly to JQL for searching Jira tickets. The AI agent interprets plain text search requests and generates the corresponding Jira Query Language syntax to retrieve the relevant project management data.

How do I estimate story points and fill in acceptance criteria for vague Jira tickets?▼

Vague Jira tickets are enhanced by rewriting the description and generating missing acceptance criteria. The story point estimator analyzes ticket complexity and effort to provide accurate estimations for project management planning.

Do I need a Jira MCP integration to use project management automation commands?▼

A Jira MCP integration is required to use these project management automation commands. The AI agent relies on the Jira MCP connection to access ticket data, process work breakdown, and execute the seven available management functions.

What is the best way to summarize Jira comment threads for quick insights?▼

Jira comment threads are summarized for quick insights by extracting key decisions and action items. The AI agent processes the ticket discussion history and condenses the conversation into a concise overview of project outcomes.

How do I identify potential edge cases for thorough testing in Jira stories?▼

Potential edge cases for thorough testing are identified by analyzing Jira story requirements. The edge case generator reviews the ticket details and highlights scenarios that require additional validation to ensure comprehensive test coverage.

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