respond-to-issue

Draft GitHub issue responses verified against Megatron-LM code and history.

17.4k|4.3k|Updated Mar 21, 2019
One-click install
npx skills add https://github.com/NVIDIA/Megatron-LM --skill respond-to-issue-nvidia
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: respond-to-issue
Source: https://github.com/NVIDIA/Megatron-LM/tree/main/skills/respond-to-issue
Command: npx skills add https://github.com/NVIDIA/Megatron-LM --skill respond-to-issue-nvidia

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps maintainers respond to external GitHub issue reports quickly and accurately, without risking incorrect technical claims or missing important context.

Core Features & Use Cases

  • Issue understanding & triage: Pulls issue title, body, comments, and labels to determine whether the report is a bug, feature request, question, or discussion.
  • Targeted codebase research: Searches the Megatron-LM codebase relevant to the issue and checks recent history to confirm what changed and why.
  • Fact-checked, maintainer-ready drafting: Produces a concise, professional response that cites relevant paths and evidence, suggests workarounds, and invites follow-up via PRs when appropriate.
  • Use Case: A contributor reports that training fails under a specific configuration; the maintainer drafts a reply that confirms expected behavior, points to the relevant implementation, and recommends the correct setting or a patch direction.

Quick Start

Provide the issue URL or issue number and ask the Skill to draft a GitHub reply while verifying details against the repository history.

Frequently Asked Questions about respond-to-issue

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

FAQPage Schema
How do I draft a GitHub issue response based on codebase research?

To draft a GitHub issue response, extract the issue context and research the relevant Megatron-LM code and recent commits. This produces a concise, fact-checked maintainer-ready comment that verifies claims with git data and includes next steps.

What is the best way to triage external bug reports for Megatron-LM?

The best way to triage external bug reports is to pull the issue title, body, comments, and labels to classify the report, then search the codebase and check recent history to confirm what changed and why.

How do I fact-check technical claims in a GitHub issue reply?

You can fact-check technical claims by verifying details against repository history using git and gh data. This confirms expected behavior, points to relevant implementation paths, and ensures the response contains evidence-based guidance rather than guesses.

Does this approach work for feature requests and contributor questions?

Yes, this approach works for bug reports, feature requests, and contributor questions that require evidence-based guidance. It determines the issue type from labels and comments, then drafts a professional response with workarounds or patch directions.

What do I need to provide to generate a maintainer-ready GitHub comment?

You need to provide the issue URL or issue number. The process then drafts a GitHub reply by verifying details against the repository history and suggesting appropriate workarounds or follow-up actions.