Skill UI

This module provides comprehensive connection methods for Azure Database for PostgreSQL Flexible Server using Node.js and TypeScript with the pg package. It supports both traditional password authentication and modern, recommended Microsoft Entra ID (passwordless) authentication. The guide demonstrates best practices, including connection pooling, parameterized queries to prevent SQL injection, and robust transaction management (BEGIN/COMMIT/ROLLBACK).

This skill automates the generation of comprehensive changelogs and release notes directly from commit history, Pull Requests (PRs), and release tags. It ensures that documentation adheres to industry-standard formats, such as Keep a Changelog, streamlining release workflows and standardizing version management practices.

Transforms git commits into polished, customer-ready changelog entries by analyzing history, categorizing features/bug fixes, filtering noise, and applying consistent brand voice so releases are ready in minutes.

This skill automatically collects raw activity data (merged PRs, issues, commits, and optional Slack updates) from repositories. It formats this data using predefined templates, runs quality checks, and prepares a structured changelog draft. It can automatically commit the draft to a new branch and open a Pull Request (PR) for review, making it ideal for generating weekly or monthly release notes.

Configure CodeRabbit CLI to integrate AI-powered code reviews directly into your local development loop. This workflow allows developers to run comprehensive, AI-driven reviews against staged or unstaged changes before committing or pushing to a remote repository. It establishes a crucial 'two-layer' review process, providing instant, fast feedback at the local CLI level, complementing the formal PR review process. This tool is essential for maintaining high code quality and consistency during rapid development cycles.

This skill provides professional, AI-powered code review, integrated with Codex AI. It is designed to ensure high code quality before commits, automatically generate comprehensive CHANGELOGs, and assist in managing large-scale refactoring projects efficiently.

This skill generates commit messages strictly following Sentry's conventions and the Conventional Commit format. It mandates a structured commit message including a type, scope, subject, body (explaining what and why), and a footer for issue references. Use this whenever committing code changes to ensure a highly readable, traceable, and standardized version history.

Automated assistance for crafting commit messages aligned with DevOps basics, including guidance, patterns, and validation to keep version control workflows consistent.

This skill guides the execution of development tasks defined in a structured implementation plan, strictly following the Test-Driven Development (TDD) workflow. It manages the entire development lifecycle, including pre-flight checks, context loading, task identification, writing failing tests, implementing minimal code, refactoring, committing changes, and performing phase-wise verification. Ideal for managing complex, structured software development projects.

This skill provides a structured, git-aware mechanism to revert changes associated with specific logical work units (tracks, phases, or tasks). It performs comprehensive pre-flight checks, identifies relevant commits through structured logging, displays a detailed execution plan, and executes the revert safely in reverse chronological order. Ideal for undoing complex, multi-step development changes while maintaining project integrity.

This tool integrates advanced AI capabilities into the entire Git lifecycle within the IDE. It assists developers by automatically generating standardized commit messages from staged diffs, providing deep code review using the @Git context (checking for vulnerabilities, missing handling), and offering systematic guidance for resolving complex merge conflicts. It streamlines version control and elevates code quality.

A comprehensive guide detailing how to optimize the entire software development lifecycle within the Cursor IDE. It walks users through an AI-augmented loop covering planning (Chat), scaffolding (Composer), implementing (Tab), refining (Inline Edit), testing (Chat/Terminal), committing, and reviewing code using integrated AI and Git features. Designed for maximizing developer efficiency and code quality.