Skill UI

Master advanced Git techniques, including interactive rebase, cherry-picking, and bisecting, to manage complex version control scenarios. This guide provides structured workflows for cleaning commit history before merging, recovering from accidental changes, and efficiently tracking down the source of bugs across diverging branches.

Analyzes local git branches and worktrees, groups related prefixes, verifies merges or squash history, and safely prompts before deleting merged, superseded, or gone branches. Use when stale local branches and worktrees need cleanup without affecting remote.

This skill orchestrates a comprehensive, multi-stage Git development workflow, simulating the process from code commit to PR preparation. It leverages specialized AI agents (code reviewers, test automators, prompt engineers) to systematically enforce best practices. Key functions include code quality assessment, breaking change analysis, running unit/integration/E2E tests, and generating Conventional Commit messages, ensuring code readiness and high quality before merging.

This skill automates the complete software development workflow: staging all changes, creating a structured conventional commit message, and pushing the results to the remote repository. It is ideal for developers who have completed a feature or batch of changes and need to reliably share their work while adhering to standard Git best practices.

Automate GitHub repositories, issues, PRs, branches, CI/CD, and permissions through Composio’s Rube MCP toolkit, enabling programmatic workflows, reviews, searches, and deployments across connected repos.

Automates guidance for GitHub issue creation within enterprise workflows, offering best practices, validations, and code/config generation whenever the GitHub issue creator intent is detected.

Auto-activating skill that guides users through gitignore generation, best practices, and foundational DevOps patterns whenever they mention gitignore generator tasks.

Automated guidance for GKE cluster configuration within GCP Skills, offering step-by-step instructions, best practices, and production-ready code for compute, storage, BigQuery, Vertex AI, and other GCP services.

Auto-activating backend skill that guides users through go handler generator patterns, production-grade code/config creation, and best-practice validation across microservices.

Automates Go test creation across unit, integration, and mocked scenarios while enforcing best practices for test automation workflows.

This specialized guide is essential for developers migrating projects from Godot 3.x to Godot 4. It systematically covers major technical updates, including GDScript 2.0 syntax changes, mandatory `@export` annotations, adopting the modern `create_tween()` system, and updating signal connections and coroutine handling from `yield` to `await`. Use this resource to ensure a smooth and efficient engine upgrade.

Collection of Go idioms and best practices for building robust, maintainable services, covering simplicity, zero values, interface returns, error handling, and concurrency when writing, reviewing, or refactoring Go code.