Can this skill help reduce repository size?

Yes, it includes repository health tools that identify large files (>1MB), prune unreachable objects, and run aggressive garbage collection to optimize performance.

How does the semantic versioning logic work?

It analyzes the commit history within a specified range, looking for 'BREAKING CHANGE', 'feat:', and 'fix:' prefixes to determine if a major, minor, or patch bump is required.

Which file formats are supported for version bumping?

The skill supports a wide range of configuration files including package.json, setup.py, pyproject.toml, Cargo.toml, composer.json, pom.xml, and Dockerfiles.

Does this skill support both GitHub and GitLab?

Yes, it includes built-in commands for both GitHub (via gh CLI) and GitLab (via glab CLI) to handle PRs, MRs, and platform-specific releases.

Intelligent Git Automation

Name: Intelligent Git Automation
Author: bejranonda

bybejranonda

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Developer Tools

Automates complex Git workflows including intelligent branching, semantic commit optimization, and end-to-end release management.

About

This skill transforms Claude into a high-level Git architect capable of managing the entire repository lifecycle. It automatically detects branching strategies like GitFlow or Trunk-Based Development, analyzes commit impacts to determine semantic versioning, and executes complete release workflows—from cross-file version bumping to changelog generation and PR creation. By handling repository health checks and optimizing commit history through automated squashing and cleanup, it ensures your codebase remains organized, performant, and production-ready with minimal manual effort.

Key Features

Repository Health Management including large file detection and history optimization
Automated Semantic Versioning and smart version bumping across multiple file types
Intelligent Branching Strategy Detection for GitFlow, GitHub Flow, and Trunk-Based Dev
9 GitHub stars
Smart Commit Message Generation based on code change analysis
End-to-end Release Workflow Automation with GitHub and GitLab CLI integration

Use Cases

Cleaning up and optimizing legacy repositories by pruning history and managing large binary files
Enforcing semantic commit standards and automated versioning in CI/CD pipelines
Automating production releases, including changelog generation and multi-platform PR creation

About

Key Features

Repository Health Management including large file detection and history optimization
Automated Semantic Versioning and smart version bumping across multiple file types
Intelligent Branching Strategy Detection for GitFlow, GitHub Flow, and Trunk-Based Dev
9 GitHub stars
Smart Commit Message Generation based on code change analysis
End-to-end Release Workflow Automation with GitHub and GitLab CLI integration

Use Cases

Cleaning up and optimizing legacy repositories by pruning history and managing large binary files
Enforcing semantic commit standards and automated versioning in CI/CD pipelines
Automating production releases, including changelog generation and multi-platform PR creation