This Langflow flow implements a GitHub issue intake and Jira ticket creation pipeline.

It starts by receiving GitHub issue data (via webhook or polling), including the issue title, description, labels, repository context, and reporter metadata. Parsing components normalize the payload and extract structured fields needed for ticket creation.

A mapping stage translates GitHub labels and metadata into Jira-friendly fields such as issue type, priority, components, epic links, and assignee rules. The flow can apply routing logic so certain labels automatically go to the right team queue (e.g., "bug", "security", "docs", "billing").

A ticket creation stage creates the Jira issue with consistent formatting and includes a backlink to the original GitHub issue for traceability. The workflow can also add a comment on the GitHub issue with the created Jira ticket key, keeping both systems in sync.

Finally, the flow outputs a structured summary of what was created (ticket key, URL, assigned owner, and applied mappings) so you can log events, build dashboards, or trigger follow-up automations.

The flow can be extended into a full cross-tool work intake system. Add deduplication to prevent creating duplicate Jira tickets for repeated issues, and implement bi-directional sync so status changes in Jira update the GitHub issue automatically. Integrate with Slack for alerting when high-priority issues arrive, and store mappings in a database so teams can update routing rules without changing the flow. Advanced setups can enrich tickets with repository ownership data (CODEOWNERS), auto-assign by component, and generate weekly reports that summarize incoming issue volume by label and project.