jason-nguyen17

Automated Jira daily digest via Claude Code CLI. Queries for Jira Self Hosted API, generates team activity reports (Done/Resolved/Testing/In Progress), and sends to Telegram. Includes inactive member detection and defect tracking.

12
4
100% credibility
Found Feb 08, 2026 at 11 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
JavaScript
AI Summary

This repository provides a Claude Code skill for automatically querying self-hosted Jira Server/Data Center instances via PAT authentication to generate reports and send them via Telegram.

Star Growth

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AI-Generated Review

What is skill-jira-auto-report?

This JavaScript-based tool turns Claude Code CLI into a natural language gateway for self-hosted Jira instances, letting you query issues, team activity, and defects without memorizing JQL. It pulls data via Jira's API on statuses like Done, Resolved, Testing, and In Progress, spots inactive members, and tracks bug transitions. Setup automation for daily digests sent straight to Telegram, solving manual report drudgery for distributed teams.

Why is it gaining traction?

Unlike raw API scripts or plugin-heavy alternatives, it leverages Claude's AI for plain-English queries like "Summarize yesterday's tasks in PSV2," skipping JQL syntax entirely. Automated Jira reports via cron and Telegram notifications deliver formatted HTML summaries on activity, defects, and inactives—plug-and-play for quick wins. Solid docs cover setup, customization, and troubleshooting, making Jira automated report generation feel effortless.

Who should use this?

Engineering managers on self-hosted Jira Server/Data Center chasing automated Jira reports for daily standups. Small teams (5-20 devs) needing inactive user alerts and defect tracking without extra tools. Leads automating team activity visibility via Telegram, especially in async setups like Vietnam-based crews running cron at 8 AM local.

Verdict

Worth a spin for self-hosted Jira users tired of manual queries—strong docs and MIT license lower the entry barrier despite 11 stars and 1.0% credibility score signaling early maturity. Test interactively first; scale to automation if your workflow matches.

(187 words)

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