Skill UI

A comprehensive automation toolkit for managing Sentry error tracking and monitoring operations. Users can programmatically investigate issues, configure project-level alert rules, manage release versions, and monitor organizational structure. Essential for DevOps and development teams needing deep integration and programmatic control over error data.

Skillshare is a comprehensive CLI tool designed to manage and synchronize AI Command Line Interface (CLI) skills across dozens of AI tools and repositories. It provides a single source of truth for skill configurations, enabling users to install, update, audit, analyze, and share skills globally or within specific projects. Use it for streamlining AI workflow setup, managing cross-tool dependencies, setting up CI/CD audit pipelines, or building specialized skill hubs.

A comprehensive automation toolkit designed to manage the entire Vercel deployment lifecycle and associated infrastructure. Users can programmatically monitor, trigger, and manage deployments, configure custom domains and DNS records, manage environment variables across multiple targets, and oversee project settings and project listings. Essential for implementing robust CI/CD pipelines and managing cloud infrastructure.

Implements verification gates as explicit phase checkpoints, producing acceptance checklists, CI gate configs, and manual approval rules so teams catch defects before phase transitions, covering requirements, design, implementation, integration, and deployment.

This guide provides comprehensive guidelines for localizing all aspects of VS Code extensions. It covers best practices for handling configurations (settings, commands, menus), user-facing string resources, and walkthrough content. Developers can use this skill to ensure their extensions are properly adapted and functional for multiple languages.

Scans specified files or folders to infer existing syntax, writes a project coding standards or contribution doc using configurable templates, and optionally reports or fixes inconsistencies before saving to the first available standard filename.

This comprehensive guide provides a complete set of Git workflow standards specifically adapted for Chinese development environments, covering Gitee, Coding, and Jihuo GitLab. It addresses common pain points like unstable foreign platform access, non-localized CI/CD, and inconsistent commit messages. The guide covers multiple workflow models (Trunk-Based, Git Flow), branch naming conventions, Chinese Conventional Commits, and CI/CD configurations for major domestic platforms.