Skill UI

This SDK provides comprehensive Python support for Azure Data Lake Storage Gen2. It enables developers to interact with hierarchical file systems, performing essential big data operations such as creating, listing, uploading, downloading, and managing metadata for files and directories. Ideal for building data analytics pipelines and cloud-based data processing workflows.

This skill provides a comprehensive checklist for performing rigorous code security reviews. It covers critical areas such as secrets management, input validation, preventing SQL injection, secure authentication (JWT, RLS), and mitigating XSS/CSRF vulnerabilities. Essential for developers building features that handle sensitive data or user input.

A comprehensive toolkit for building production-grade AI agents focused on crypto business development. This skill guides users through the entire token listing lifecycle: autonomously discovering promising assets across multiple chains, applying a weighted 100-point scoring model, verifying safety via advanced wallet forensics, and managing outreach pipelines with necessary human oversight and LLM cascade patterns.

This comprehensive workflow manages the entire lifecycle of notes within Evernote. It provides structured methods for creating new notes (supporting plain text, checklists, and ENML formatting), retrieving existing content, updating notes, and organizing both notes and notebooks/stacks. Essential for building full-featured note-taking applications and content management systems.

A comprehensive guardrail system for external search APIs (like Exa). It enforces content safety policies, manages domain access via allow/blocklists, sanitizes queries to prevent misuse, implements result freshness checks, and enforces per-user usage quotas. Essential for building reliable, secure, and cost-controlled integrations.

This skill provides robust, automated guardrails for web scraping pipelines using Firecrawl. It enforces critical policies to ensure compliance and stability, including domain blocklists (preventing scraping prohibited sites), managing API credit budgets, filtering low-quality content (e.g., error pages, thin content), and implementing granular per-domain rate limiting. Use this when building highly reliable, legal, and cost-efficient scraping solutions.

An expert skill dedicated to building secure, robust frontend applications. It specializes in preventing client-side vulnerabilities such as XSS and clickjacking. Core capabilities include safe DOM manipulation, implementing Content Security Policy (CSP), advanced input sanitization (allowlisting), and securing complex interactions like secure redirects and session management.

This tool provides comprehensive Python solutions for processing batches of text-to-video requests using the Kling AI API. It handles controlled parallelism, rate-limiting, and detailed status tracking. Use this when building robust content pipelines that require generating multiple videos efficiently from a list of prompts, supporting synchronous, asynchronous, and webhook callback methods.

Provides deep expertise in modern Kotlin patterns, covering structured concurrency via Coroutines and Flow, Multiplatform architecture (KMP), declarative UI using Compose, and server implementation with Ktor. Ideal for building robust, type-safe, and highly maintainable applications across various platforms.

Documenting React Native and Flutter patterns for building responsive, performant product lists with typed navigation, safe areas, and platform-aware styles, plus anti-patterns and checklist to keep JS threads smooth.

A comprehensive guide for developers implementing robust data persistence and file handling within Obsidian plugins. It covers best practices for saving plugin configurations, reliable vault file I/O (read, write, append), safe manipulation of YAML frontmatter via metadata cache, and registering event listeners for file renames and deletions. Essential for building stable, data-intensive plugins.

This guide provides essential, production-ready architectural patterns for building highly reliable Obsidian plugins. It addresses common development pitfalls such as managing typed settings with versioned migration, implementing safe vault operations (check-before-act), and handling event listeners to prevent memory leaks. Use these patterns when hardening your plugin for public release or refactoring for maximum stability.