AI-Powered JIRA Automation Smart ticket classification, predictive SLA breach alerts, and intelligent agent routing all powered by machine learning. Boost your support efficiency with ready-to-use automation tools and dashboards.

Daemon that turns issue tracker tickets into autonomous coding agent sessions

A practical collection of JIRA automation examples to optimize support workflows. Includes real-world rules for auto-assignment, SLA breach alerts, ticket prioritization, and status transitions. Designed for teams looking to streamline issue management with low code and no code solutions.

Jira task → Claude Code → GitHub PR → auto-merge. AI-powered dev pipeline that writes code, tests, and opens PRs automatically. Planning mode breaks features into epics and tasks.

AI-powered solution to predict SLA breaches, prioritize support tickets, and enhance JIRA workflow efficiency using machine learning.

🚀 Automate Excel-based SLA reporting with zero hassle! This powerful VBA tool generates priority-based support metrics, highlights SLA breaches, and saves hours of manual effort — perfect for tech support teams and IT managers.

Gen AI–powered sprint risk analysis prototype for Technical Program Management. Simulates automated detection of delivery blockers and cross-team dependencies, demonstrating potential to reduce manual status review time by ~30–40% and improve early risk visibility in engineering programs

Automate daily scrum reports with AI-powered insights from Jira data

🤖⚡ Automate your entire Git workflow with AI! One command (cm) to stage, generate intelligent commit messages using Ollama + Mistral AI, and push to GitHub. Saves 5+ minutes! 👨🏻‍💻➡️❇️

This repository demonstrates a proof of concept (POC) for integrating Jira with GitHub Actions. The primary goal is to automate the creation of Jira bug tickets when specific conditions are met in GitHub, such as the addition of a bug label to an issue.

A Claude Code workspace template with AI skills for JIRA, PRs, code review, estimation, and daily standups

Service to automate jira simple issues, the idea is to implement a service that will read classes from the adapter folder and can be customized for the types of tickets that you have. You can connect on Jira and use any tool for automation that you want, so the purpose of this repository is to provide a base program for the automation of repetit…

A wrapper library on top of JIRA rest client to automate few jira workflows

AI-powered Jira Data Center admin analysis — 89 read-only MCP tools. ScriptRunner, JMWE, Structure, A4J, Assets/CMDB, audit log, system log, issues, Confluence.

A full-stack app to convert user stories into structured test cases using LLMs, with React frontend and Node.js/Express backend.

AI-powered Jira Data Center admin actions — 111 write MCP tools via ScriptRunner + Java API. Issues, workflows, schemes, Assets/CMDB, SR listeners/behaviours/jobs, Structure views, JMWE, script deployment.

🤖 Streamline JIRA ticket management with AI-driven SLA predictions for improved automation and efficiency in customer support.

AI-powered Jira Cloud administration — 85 MCP tools via REST API v3. Issues, workflows, schemes, permissions, security levels, automation rules, audit log.

Small Python project to automate repetitive Jira tasks.

Converts a single Figma screen into structured product stories automatically. It extracts meaningful UI elements via the Figma API, generates concise user stories using OpenAI, and exports a clean HTML report ready for documentation, planning, or Jira integration.