Jira Issue Workflow

Break a plan, spec, or PRD into independently-grabbable issues on the project issue tracker using tracer-bullet vertical slices.

Retrieve, analyze, and update Jira tickets directly from your AI coding workflow using MCP or REST API.

Configure and manage Atlassian Jira projects, workflows, JQL queries, automation, and reporting using MCP tools and bundled scripts.

Creates a GitHub issue from a specification file using a feature request template, checking for existing issues first.

Triage Linear or Jira backlogs and run bug sweeps via the Composio CLI. Bulk-fetch issues, dedupe, relabel, reassign, and post summaries — all from the shell without clicking through the UI.

Defines when to create Epic, Feature, UserStory, or Task tickets and adds concise guidance to SKILL.md.

Turns a pile of bugs, issues, and error reports into a ranked, actionable plan with reproduction evidence. Ingests GitHub issues via gh, TODO/FIXME scans, error logs, or a pasted list; attempts to reproduce or classify every item; scores by impact, frequency, fix cost, and regression risk; clusters duplicates; and.

Creates professional GitHub issues—bug reports, feature requests, and technical tasks—with clear context, acceptance criteria, and labels for immediate action.

Create, list, and view GitHub issues interactively using the gh CLI, with guided prompts for titles, bodies, labels, and filters.

Manage Jira issues, boards, sprints, and projects via the jira-cli. Search, create, update, and transition issues directly from the command line.

Writes user-focused acceptance criteria for Jira stories using Given/When/Then scenarios, and updates the ticket via the Atlassian MCP server.