Can I filter by specific file types or paths?

Yes, the skill supports optional filters so you can focus the analysis on specific directories, authors, or file extensions.

How does it handle very large commit ranges?

It uses context budget management to prioritize the top 5-10 most significant files and provides a concise summary to avoid overwhelming the AI's context window.

Can I use this to write Pull Request descriptions?

Exactly. The 'Code Review' mode is designed to generate a structured overview, including module-based changes and test coverage, perfect for PRs.

Does it support branch comparisons?

Yes, you can provide standard git commit ranges such as 'feature-branch..main' to analyze the differences between two branches.

Can I analyze changes from a specific time window?

Yes, the skill accepts time-based inputs like 'last 2 hours', 'since 10am', or specific timestamps to summarize work within that period.

Git Session Analyzer

Name: Git Session Analyzer
Author: bitwarden

bybitwarden

Collaboration Tools

Generates structured summaries and analyses of git activity for code reviews, retrospectives, and session documentation.

About

This skill automates the process of auditing and summarizing work within a git repository by analyzing commit history, file changes, and statistics across specific timeframes or commit ranges. It intelligently extracts key modifications, prioritizes significant files based on change magnitude, and presents information in configurable depth levels—Concise, Detailed, or Code Review—to help developers maintain context efficiency while documenting their progress or preparing for peer reviews.

Key Features

0 GitHub stars
Categorized file analysis identifying new, deleted, and renamed files
Flexible range selection using relative timeframes or specific commit hashes
Statistical breakdowns of line changes and contributor activity
Multi-depth reporting formats tailored for different documentation needs
Smart prioritization of large or architectural changes to prevent context overflow

Use Cases

Generating professional pull request descriptions from local commit history
Preparing for team retrospectives or daily standup meetings with precise work logs
Conducting targeted code reviews of specific modules or branches

About

Key Features

0 GitHub stars
Categorized file analysis identifying new, deleted, and renamed files
Flexible range selection using relative timeframes or specific commit hashes
Statistical breakdowns of line changes and contributor activity
Multi-depth reporting formats tailored for different documentation needs
Smart prioritization of large or architectural changes to prevent context overflow

Use Cases

Generating professional pull request descriptions from local commit history
Preparing for team retrospectives or daily standup meetings with precise work logs
Conducting targeted code reviews of specific modules or branches