How does it handle workload balancing?

The algorithm counts open PRs with pending reviews for each user and applies a point penalty per open item, preventing the most active developers from becoming bottlenecks.

Can I use this for issue assignment as well as PRs?

Absolutely. It analyzes issue labels, titles, and similar closed issues to suggest the most relevant assignees based on their domain history.

How does this skill rank potential reviewers?

It uses a weighted scoring system that rewards CODEOWNERS matches, recent commits to relevant files, and active PR participation while penalizing heavy workloads to ensure a balanced review process.

What happens if a repository doesn't have a CODEOWNERS file?

The skill gracefully falls back to heuristics like recent file contributors, active PR reviewers, and general collaborator activity to provide the best possible suggestions.

Does it support team-based ownership in CODEOWNERS?

Yes, the skill can resolve team handles (e.g., @org/team-name) into individual members to provide specific user suggestions.

GitHub Smart User Suggestions

Name: GitHub Smart User Suggestions
Author: synaptiai

bysynaptiai

协作工具

Automates the selection of PR reviewers and issue assignees by analyzing repository ownership, commit history, and current workload.

关于

The GitHub Smart User Suggestions skill streamlines repository management by identifying the most qualified reviewers and assignees for any given task. By integrating directly with the GitHub API and local Git history, it calculates a weighted score based on CODEOWNERS definitions, recent file-level expertise, and historical PR activity. It also incorporates a workload balancing algorithm to ensure that active contributors are not overloaded, providing developers with a data-driven approach to collaboration that reduces bottlenecks and improves code review quality.

主要功能

Analyzes CODEOWNERS files for explicit ownership mapping and team resolution
Calculates file-level expertise using 30-day commit history and Git logs
0 GitHub stars
Balances team workload by penalizing scores for users with high pending review counts
Provides ranked, interactive suggestions via the AskUserQuestion interface for quick selection
Identifies subject matter experts based on recent PR activity and historical issue labels

使用场景

Re-engaging previous reviewers during the PR update process to accelerate the merge cycle
Assigning GitHub issues to developers based on historical label expertise and current availability
Automating PR reviewer selection to ensure the right experts are notified during the submission process

关于

主要功能

Analyzes CODEOWNERS files for explicit ownership mapping and team resolution
Calculates file-level expertise using 30-day commit history and Git logs
0 GitHub stars
Balances team workload by penalizing scores for users with high pending review counts
Provides ranked, interactive suggestions via the AskUserQuestion interface for quick selection
Identifies subject matter experts based on recent PR activity and historical issue labels

使用场景

Re-engaging previous reviewers during the PR update process to accelerate the merge cycle
Assigning GitHub issues to developers based on historical label expertise and current availability
Automating PR reviewer selection to ensure the right experts are notified during the submission process