Agent skill · software engineering · nvidia
mcore-split-pr
Split a PR into multiple PRs to reduce the number of required CODEOWNERS reviewer groups.
Why this skill is useful
Adds a detailed workflow for splitting PRs based on CODEOWNERS groups, which the AI wouldn't reliably generate on its own.
What it needs
Requires github account access. About 3k tokens when loaded. Last updated 2026-08-07. 2,816 stars on the source repository.
What this skill does
Split PR by CODEOWNERS Groups Split a large pull request into multiple smaller PRs, where each PR touches the fewest possible CODEOWNERS reviewer groups. The goal is to reduce review burden: a PR that only touches megatron/core/ needs only the core reviewers, while a PR that also touches examples/, tools/, and megatron/training/ pulls in many additional groups. Answer-First Constraints For split-planning questions, lead with these constraints before the full workflow: Minimize CODEOWNERS reviewer groups per PR, but each resulting PR must still be independently mergeable and reviewable. Tests travel with the production code they validate; do not split tests into a separate PR just to reduce reviewer groups. If PR B depends on symbols renamed in PR A, call out the dependency and put backward-compatible aliases, re-exports, or shims in PR A when needed. Wait for user approval before execution. Execution creates draft PRs from the right base, applies file-scoped diffs with git diff upstream/main..<source-branch> -- <paths> git apply, pushes to the user's fork, and never pushes directly to upstream. Workflow 1. Analyze the PR 1. Fetch the PR details: gh pr view <number> --repo NVIDIA/Megatron-LM --json title,body,headRefName,author and gh pr diff <number> --repo NVIDIA/Megatron-LM --stat. Also determine the current GitHub user with gh api user --jq .login. 2. Parse .github/CODEOWNERS to build a mapping from file path patterns to owner groups. 3. For each changed file in the PR, determine which CODEOWNERS groups would be required to review it. 4. Build a summary table grouped by CODEOWNERS group, showing which files pull in which groups. 5. Count the total number of distinct reviewer groups the PR currently requires. 2. Propose a split that minimizes reviewer groups per PR The primary optimization goal: minimize the number of CODEOWNERS reviewer groups required for each resulting PR. Strategy: 1. Cluster files by their CODEOWNERS groups. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills nvidia/mcore-split-pr