Hey Hugging Face community 
I’ve just open-sourced a growing collection of JIRA automation templates based on real-world IT support workflows.
GitHub: JIRA Automation Samples
What It Covers:
This repo provides ready-to-use, copy-pasteable JIRA rules and triggers for:
- Auto-assigning tickets based on category or keyword
- Escalating issues after SLA breach thresholds
- Sending Slack/Email alerts for priority tickets
- Auto-tagging recurring or similar issues using basic NLP patterns
I created these during my time managing technical support pipelines in a high-volume environment — aiming to reduce manual workload for L1/L2 agents and increase SLA compliance.
What I’m Looking For:
- Ideas to improve the NLP matching in automation rules
- Contributions from others who’ve built scalable JIRA workflows
- Feedback on useful triggers that can integrate with ML models (e.g., label prediction or urgency detection)
If you use JIRA and care about automation or service optimization, this could be a helpful base to extend.
Happy to collaborate if you’d like to adapt these for your organization or combine them with transformer-based solutions.
— Arooj Javed