What external tools are required for this skill?

This skill utilizes the GitHub CLI (gh) and specialized Bun scripts for profile extraction and issue summarization.

What is the 'Maintainer Voice' feature?

It provides specific 'Do and Don't' guidelines and templates to ensure Claude interacts with your community in a genuine, conversational, and non-corporate manner.

Can it help with duplicate issues?

Yes, it includes a specific workflow for identifying duplicates, linking them to the original thread, and closing them with a friendly, pre-formatted message.

How does this skill handle contributor credits?

It fetches GitHub profile data, including Twitter handles and blogs, and generates ready-to-use changeset templates to thank contributors personally in your releases.

Does it automatically close issues without human input?

No, it follows a decision matrix that provides a guided workflow for the maintainer to analyze, comment, or label issues based on specific criteria, ensuring human oversight.

GitHub Issue Triage

Name: GitHub Issue Triage
Author: joelhooks

byjoelhooks

•

359

Collaboration Tools

Automates the end-to-end GitHub issue lifecycle from initial analysis and contributor profiling to implementation and public credit.

About

This skill transforms GitHub issue management into a structured, human-centric workflow for Claude. It goes beyond simple triage by automatically fetching rich contributor profiles—including Twitter handles—to ensure maintainers can provide proper attribution in changesets and social media. By implementing a philosophy of 'issues as conversations,' it helps maintainers reduce noise, organize tasks into tracking cells, and maintain a consistent, conversational voice that builds community trust while streamlining the path from bug report to resolution.

Key Features

Integration with Hive for automated task tracking and project management
Structured 'Analyze-Clarify-File-Tag' workflow for consistent issue handling
Standardized credit templates for changesets and release notes
359 GitHub stars
Automated contributor profiling with Twitter and social metadata extraction
Maintainer-voice guidelines to ensure empathetic and professional community interaction

Use Cases

Building a contributor database using semantic memory for long-term community engagement
Standardizing project attribution by capturing social handles for release announcements
Managing high-volume open-source repositories with frequent contributor reports

About

Key Features

Integration with Hive for automated task tracking and project management
Structured 'Analyze-Clarify-File-Tag' workflow for consistent issue handling
Standardized credit templates for changesets and release notes
359 GitHub stars
Automated contributor profiling with Twitter and social metadata extraction
Maintainer-voice guidelines to ensure empathetic and professional community interaction

Use Cases

Building a contributor database using semantic memory for long-term community engagement
Standardizing project attribution by capturing social handles for release announcements
Managing high-volume open-source repositories with frequent contributor reports