How far back can I analyze repository data?

By default, it analyzes the last 30 days, but you can specify custom timeframes using the --days or --start date options.

What does the GitHub Insights skill do?

It analyzes your GitHub repository to generate markdown reports on PRs, team activity, merge velocity, and code review patterns using the GitHub CLI.

Do I need any special tools to use this skill?

Yes, you must have the GitHub CLI (gh) installed and authenticated on your local machine to fetch repository data.

Can it detect poor quality code reviews?

Yes, the review-depth action helps identify 'rubber stamp' reviews where rounds of feedback or engagement may be insufficient.

GitHub Team Insights

Name: GitHub Team Insights
Author: kwiggen

bykwiggen

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Collaboration Tools

Analyzes repository activity to provide actionable metrics on PR velocity, review quality, and team contributions.

About

GitHub Team Insights is a comprehensive diagnostic tool for engineering teams to monitor and optimize their development workflow. It provides deep visibility into pull request cycles, contributor performance, and code review health, allowing teams to identify bottlenecks, track review participation, and detect 'rubber stamp' reviews. By surfacing data on merge velocity, PR size distribution, and review balance, this skill empowers developers and team leads to make data-driven decisions that improve overall code quality and delivery speed within any Git-based project.

Key Features

Workload balancing insights by comparing reviews given versus received
Contributor leaderboards tracking activity, PR counts, and lines changed
Comprehensive PR metrics including merge velocity and time-to-first-review
Review health analysis to detect bottlenecks and rubber-stamping patterns
Automated tracking for reverts and hotfixes to monitor codebase stability
1 GitHub stars

Use Cases

Monitoring code review participation and quality across the engineering organization
Generating automated weekly developer activity and contribution reports
Auditing team productivity and identifying workflow bottlenecks during sprints

About

Key Features

Workload balancing insights by comparing reviews given versus received
Contributor leaderboards tracking activity, PR counts, and lines changed
Comprehensive PR metrics including merge velocity and time-to-first-review
Review health analysis to detect bottlenecks and rubber-stamping patterns
Automated tracking for reverts and hotfixes to monitor codebase stability
1 GitHub stars

Use Cases

Monitoring code review participation and quality across the engineering organization
Generating automated weekly developer activity and contribution reports
Auditing team productivity and identifying workflow bottlenecks during sprints