Skill UI

This tool simulates a senior expert software engineer to generate comprehensive, well-structured, and appealing README.md files for any project. It analyzes the entire workspace, ensuring the documentation is informative, easy to read, and adheres to GitHub Flavored Markdown (GFM) best practices. Ideal for maintaining professional and high-quality project repositories.

The comprehensive command-line interface (CLI) for interacting with all major features of GitHub. This tool allows developers to manage repositories, create and review pull requests, track issues, utilize Codespaces, and perform advanced organizational tasks—all directly from the terminal. It is essential for streamlining DevOps workflows and automating GitHub operations.

This tool automates the entire process of creating a complete, production-ready application structure solely from an OpenAPI (Swagger) specification. It analyzes the spec to design the application architecture, generating all necessary layers including controllers, service logic, data models (DTOs), and repositories, adhering to best practices, framework conventions, and separation of concerns. The output includes unit tests, configuration files, and setup instructions, providing a robust, ready-to-use codebase.

A comprehensive guide detailing how to configure and manage GitHub's secret scanning feature. This skill covers enabling Secret Protection, setting up push protection to block leaked credentials before they reach the repository, defining custom regex patterns, and providing workflows for triaging alerts and resolving blocked pushes (including using git rebase or bypassing protections). Essential for maintaining secure code repositories and complying with security standards.

This comprehensive CLI tool enables users to manage all core resources within Azure DevOps from a command line interface. It provides full control over CI/CD pipelines, source code repositories (Git), work items (Boards), artifacts, and service connections. Ideal for scripting, advanced automation workflows, and integrating DevOps processes into larger continuous delivery systems.

This comprehensive automation toolkit manages core Bitbucket functionalities, including repositories, workspaces, pull requests, and issues. It enables programmatic control over development workflows—from creating and reviewing pull requests to listing repos, tracking issues, and managing workspace members. Essential for integrating CI/CD pipelines and streamlining the entire software development lifecycle.

Conducts STRIDE-A threat modeling on repositories or systems, running either a full single-pass analysis with architectures, DFDs, prioritized findings, and executive assessments, or an incremental update that compares a baseline report to the current code and highlights deltas.

A comprehensive guide for configuring ArgoCD within KubeSphere DevOps. It details implementing GitOps continuous deployment, covering application management, multi-cluster setup, SSO integration via Dex, and best practices for managing application state synchronization from Git repositories. Learn the differences between direct ArgoCD and KubeSphere's tenant-friendly GitOps application creation.

This setup implements a pre-execution hook to safeguard code repositories by intercepting and blocking destructive Git operations (e.g., `git push`, `git reset --hard`, `git clean`). It prevents accidental or unauthorized data loss during automated code generation or tool use within AI environments, ensuring robust version control safety.

This internal agent skill defines a systematic, multi-step procedure for scanning GitHub repositories to gather comprehensive evidence supporting or explaining bug clusters. The process covers searching open issues, inspecting recent commits, analyzing code paths, and checking deployment history. It assigns evidence confidence tiers (Exact, Strong, Moderate, Weak) to provide a deep, actionable understanding of potential software defects.

Use the StackBlitz SDK to seamlessly embed live, interactive code playgrounds (WebContainers) directly into documentation, blog posts, or tutorials. This method allows users to view and experiment with code examples (e.g., React, TypeScript) without leaving the current page, making tutorials and documentation highly engaging and functional. Supports embedding from GitHub repositories or creating inline projects.

This API abstraction catalog provides formalized interfaces for core business logic within the webiny API. It defines standard architectural patterns—including Use Cases, Repositories, and Event Handlers—for managing the complete folder lifecycle. It covers CRUD operations, permission control (FLP), hierarchy resolution, and complex business rules, ensuring a clean separation of concerns and robust code implementation.