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

0•

Collaboration Tools

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

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.

Key Features

01Analyzes CODEOWNERS files for explicit ownership mapping and team resolution

02Calculates file-level expertise using 30-day commit history and Git logs

030 GitHub stars

04Balances team workload by penalizing scores for users with high pending review counts

05Provides ranked, interactive suggestions via the AskUserQuestion interface for quick selection

06Identifies subject matter experts based on recent PR activity and historical issue labels

Use Cases

01Re-engaging previous reviewers during the PR update process to accelerate the merge cycle

02Assigning GitHub issues to developers based on historical label expertise and current availability

03Automating PR reviewer selection to ensure the right experts are notified during the submission process

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add synaptiai/synapti-marketplace suggest-users

For use in Claude.ai and ChatGPT

Download Skill