github-triage

Automate GitHub issue triage with a label-based state machine.

Updated Apr 14, 2026
One-click install
npx skills add https://github.com/kvithayathil/agent-resources --skill github-triage-kvithayathil
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: github-triage
Source: https://github.com/kvithayathil/agent-resources/tree/main/skills/github-triage
Command: npx skills add https://github.com/kvithayathil/agent-resources --skill github-triage-kvithayathil

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Manually managing GitHub issue workflows, tracking triage status, and preparing well-specified tasks for AI agents is disjointed and inefficient for software development teams, leading to missed issues, inconsistent labeling, and wasted time on underspecified requests.

Core Features & Use Cases

  • Label-based state machine: Enforces consistent issue workflow rules with clear transitions between triage states like needs-triage, ready-for-agent, and wontfix.
  • Interactive grilling sessions: Guides maintainers through targeted questions to gather missing context from issue reporters, ensuring no critical details are overlooked.
  • Durable agent brief generation: Creates standardized, long-lasting specifications for AFK agents that remain useful even as the codebase changes over time.
  • Out-of-scope knowledge base: Tracks rejected feature requests to avoid duplicate discussions and preserve institutional decision-making context.
  • Use case: A maintainer with 100+ open GitHub issues can use this skill to quickly prioritize work, hand off well-defined bugs to AI agents for implementation, and close duplicate feature requests with documented reasoning.

Quick Start

Use the github-triage skill to triage all unlabeled issues in your current GitHub repository and generate a prioritized list of items needing maintainer attention.

Frequently Asked Questions about github-triage

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate GitHub issue triage for a repository with over 100 open bugs?

Automating GitHub issue triage uses a label-based state machine to enforce consistent workflow transitions, eliminating manual sorting errors. It automatically categorizes bugs and feature requests into states like needs-triage and ready-for-agent.

What is a label-based state machine for GitHub issue workflow automation?

A label-based state machine enforces consistent issue workflow rules by defining clear transitions between triage states. It ensures issues move systematically through stages like needs-triage, ready-for-agent, and wontfix without manual labeling errors.

How do I generate durable agent briefs for AFK coding agents from GitHub issues?

Generating durable agent briefs creates standardized, long-lasting task specifications for AFK agents. This ensures the implementation context remains useful even as the underlying codebase changes over time.

Can I use this to deduplicate out-of-scope feature requests in GitHub?

Yes, tracking out-of-scope feature requests records rejected proposals to avoid duplicate discussions. It preserves institutional decision-making context by documenting the reasoning behind closing duplicate feature requests.

How do I gather missing context for underspecified GitHub issues?

Interactive grilling sessions guide maintainers through targeted questions to gather missing context from issue reporters. This ensures no critical details are overlooked before preparing issues for agent implementation.

What is the best way to prepare GitHub bug tracking issues for AI agent handoff?

The best way to prepare issues for AI agent handoff is generating durable agent briefs after completing interactive grilling sessions. This creates standardized specifications that remain accurate as the codebase evolves.