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respond-to-issue
Research and draft a response to a GitHub issue or question from an external contributor.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
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Research and draft a response to a GitHub issue or question from an external contributor.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
| name | respond-to-issue |
| description | Research and draft a response to a GitHub issue or question from an external contributor. |
| when_to_use | User shares a GitHub issue URL or asks to respond to a community question; 'respond to this issue', 'draft a reply', 'answer this GitHub question'. |
| user_invocable | true |
| argument | <github-issue-url-or-number> |
Help a maintainer draft a high-quality response to a GitHub issue from an external contributor.
gh issue view <number> --repo NVIDIA/Megatron-LM --json title,body,comments,labels,state.git log --oneline -20 -- <relevant-files> to see if there have been recent changes that address or relate to the issue.git log -S "<symbol>" --oneline to trace when code was added or removed — this is especially useful for questions about unused/deprecated code or missing features.gh pr list --repo NVIDIA/Megatron-LM --search "<keywords>" --limit 5.Before including specific details in the response, verify them:
git show <hash> --stat).Write a response that:
If the issue identifies something cleanly actionable (dead code to remove, a small bug fix, a missing feature), tell the maintainer and offer to create a branch and PR to address it — don't just draft a comment.
Show the drafted response to the user (the maintainer) for review. Do NOT post it to GitHub automatically. The maintainer will decide whether to post it, edit it, or ask for changes.
Format the draft as a quoted markdown block so it's easy to copy.
gh issue list --repo NVIDIA/Megatron-LM --search "<keywords>" --limit 5.Split a PR into multiple PRs to reduce the number of required CODEOWNERS reviewer groups.
Container-based dev environment setup and dependency management for Megatron-LM. Covers acquiring and launching the CI container, uv package management, and updating uv.lock.
Bump the NVIDIA PyTorch base image (`nvcr.io/nvidia/pytorch:YY.MM-py3`) used by Megatron-LM CI. Covers the two pin sites (GitHub CI in `docker/.ngc_version.dev` and GitLab CI in `.gitlab/stages/01.build.yml`), the post-bump CI loop (re-run functional tests, refresh golden values, mark broken tests), and the gotchas that bit PRs
CI/CD reference for Megatron-LM. Covers CI pipeline structure, PR scope labels, triggering internal GitLab CI (which force-pushes the current branch to a pull-request/BRANCH ref — always dry-run and verify the destination first; never run against shared or protected branches), and CI failure investigation.
Investigate a failing GitHub Actions run or job and create a GitHub issue for the failure.
Linting and formatting for Megatron-LM. Covers running autoformat.sh, tools (ruff, black, isort, pylint, mypy), and code style rules.