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    jira health report

    by callitmagic

    1

    Automated Jira project auditing that detects 16 types of technical debt and generates CSV/Markdown reports.

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    See it in action

    You say

    Run a health audit for https://issues.apache.org/jira/projects/KAFKA with a 60 day stale threshold.

    Your agent does

    Jira Health Report generated for KAFKA. Summary: 142 total open issues.

    • 12 high priority stale tasks
    • 8 zombie To Do items
    • 5 orphaned issues (no epic)

    Reports saved to: ~/jira-reports/report_KAFKA_2024-05-20/ Files: report.md, 01_high_priority_stale.csv, 09_zombie_todo.csv...

    What you get

    Identify stale "In Progress" tasks that haven't been touched in 90 days.Find "Done" parent tasks that still have open subtasks.Locate orphaned issues missing Epic links or story points.Export category-specific CSVs for bulk cleanup operations.

    About this skill

    The problem

    Jira projects often become cluttered with stale tickets, unassigned work, and broken parent-child relationships that lead to inaccurate sprint metrics. Manually auditing these inconsistencies across hundreds of issues is time-consuming and prone to human error.

    What it does

    • Identifies 16 specific project health risks including zombie tasks, orphaned issues, and status inconsistencies.
    • Fetches real-time data from Jira REST API v2 for any project key or URL.
    • Generates a timestamped report folder containing a comprehensive Markdown summary and detailed CSVs for each issue category.
    • Automates JQL queries for stale high-priority tasks, sprint overflows, and fix version mismatches.
    • Filters issues client-side for complex metrics like heavily discussed but unresolved tickets.

    Frameworks & tools

    Jira REST API v2, Bash, Python, JQL.

    Why this beats prompting it yourself

    Writing individual JQL queries for 16 different health checks is tedious. This skill orchestrates the entire workflow, manages local file storage for audit trails, and handles data processing that JQL alone cannot perform, such as comment count filtering.

    Use cases

    • Run weekly project hygiene audits to clean up the backlog.
    • Onboard to a new codebase or project by identifying existing technical debt and blockers.
    • Prepare for sprint planning by spotting unpointed tasks or orphaned issues.
    • Generate executive summaries of project health for stakeholders.

    Known limitations

    Requires public access or provided credentials for private instances. Best suited for instances using standard priority and status naming conventions.

    How to install

    Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.

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    Creator

    callitmagic
    callitmagic

    6 skills on Agensi

    ◦ Prompt Engineer for Claude, ChatGPT & visual AI systems ◦ Building Claude automations, custom skills & AI-assisted workflows ◦ Generating code, interfaces, prompts, visuals & long-form content with AI ◦ IBM Certified Prompt Engineer ◦ Books author using Manus AI (some fun) Open to DMs and projects

    Frequently Asked Questions

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