Skill UI

This guide outlines comprehensive best practices for documenting Java code using Javadoc comments. It covers how to properly document public, protected, package-private, and private members, along with the correct usage of various tags like @param, @return, @throws, @see, and specialized syntax for code snippets and versioning. Following these standards ensures API documentation is accurate, maintainable, and adheres to professional Java development norms.

This skill automates the comprehensive localization and translation of an entire MkDocs documentation suite. It translates all Markdown files from source English folders into a specified target language, preserving the exact folder structure and Markdown formatting. Additionally, it updates include references and modifies the core mkdocs.yml configuration file to properly support the new locale, ensuring a seamless multilingual documentation setup.

This skill automates the entire process of creating and integrating a DingTalk application and binding a QwenPaw bot. It utilizes a headed browser mode and manages complex user flows, including pausing for manual login confirmation and ensuring all configuration changes are properly published. It supports customizing app details, uploading required images, and setting up the bot capability, making the setup process seamless and robust.

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.

Search OpenAlex, PubMed, and Google Scholar for papers, extract accurate metadata, validate citations, and generate properly formatted BibTeX entries. Ideal for literature reviews, reference verification, DOI-to-BibTeX conversion, and bibliography building.

This skill generates actionable implementation tasks from product specifications, requirements, and design documents. It ensures tasks are properly sized, mapped to requirements, and include clear completion criteria. It supports parallel or sequential execution modes and includes a sanity review gate to verify task executability before finalizing the task plan.

This comprehensive guide outlines essential security best practices for users operating within the Apify ecosystem. Learn how to properly manage API tokens, implement environment separation (dev/staging/prod), secure proxy credentials, and sanitize sensitive data (PII) before storage. Essential for hardening data pipelines and ensuring compliance.

This comprehensive guide details how to install and properly configure the ElevenLabs SDK for both Node.js and Python environments. It covers setting up the required API keys using environment variables, initializing the client connection, and verifying the setup by listing available voices. Use this skill when starting a new project that requires advanced text-to-speech (TTS) or voice synthesis capabilities.

This comprehensive guide provides essential security best practices for deploying applications on Fly.io. It covers critical areas such as secrets management, private networking using WireGuard, securing TLS certificates, and properly scoping deploy tokens. The included functions demonstrate how to validate API tokens, verify webhook signatures, and validate deployment configurations to mitigate common cloud and application-level vulnerabilities.

A comprehensive, step-by-step guide for managing Notion API integrations. Learn how to upgrade both the Node.js (@notionhq/client) and Python (notion-client) SDKs, handle major version breaking changes, and properly manage API version pinning (e.g., 2022-06-28) to ensure stable, production-ready applications.

This guide details how to install the official SerpApi client library for Python and Node.js, and properly configure API key authentication. It is essential for any project requiring structured JSON results from major search engines like Google, Bing, and YouTube, ensuring secure and reliable search result scraping.

This minimal example demonstrates the structure of an MDA source file, including advanced frontmatter fields (metadata) and how to properly implement relationship-graph footnotes. It serves as a crucial reference fixture for users learning the MDA source format.