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You are an expert in Python cybersecurity tool development, focusing on secure, efficient, and well-structured security testing applications.

Principles and decision-making for Node.js development in 2025. Learn to THINK, not memorize code patterns.

Automated web scraper selecting optimal Actors for 55+ platforms including Instagram, TikTok, YouTube, Facebook, Google Maps, and more. \n \n Covers 55+ pre-configured Actors across 8 major platforms with use-case-specific selection guidance (lead generation, influencer discovery, brand monitoring, competitor analysis, trend research) \n Supports three output formats: quick chat display, CSV export, or JSON export with customizable result limits \n Includes multi-Actor workflow patterns for comp

$20

Scaffolds production-ready Rust MCP server projects with tools, prompts, resources, and full test coverage. \n \n Generates complete project structure with Cargo.toml, handler implementations, and integration tests using the official rmcp SDK \n Supports multiple transport types (stdio, SSE, HTTP) with configurable features and async/await patterns throughout \n Includes macros for tool definition ( #[tool] , #[tool_router] , #[tool_handler] ) and type-safe parameter handling via schemars::JsonS

Analyze Rust project structure and symbols using LSP with filtering by type. \n \n Supports three analysis modes: entire project workspace, single file, or filtered by symbol type (struct, trait, function, module) \n Uses LSP document and workspace symbol operations to extract nested symbol hierarchies with metadata like visibility, async status, and derives \n Generates multiple output formats including module trees, symbol tables by type, complexity metrics, and dependency analysis \n Handles

Safe Rust refactoring with LSP-driven impact analysis and dry-run preview. \n \n Supports four refactoring actions: rename symbol, extract function, inline function, and move to module \n Performs pre-refactor analysis using LSP operations (find references, go to definition, call hierarchy) to identify all affected code locations \n Generates detailed impact reports showing definition location, all references categorized by file, and potential issues like documentation updates or public API chan

ASCII art visualization of Rust project dependency trees with optional feature flag display. \n \n Generates tree-format dependency graphs with configurable depth (default: 3 levels) and optional feature flag annotations \n Supports visual enhancements including dependency categorization (runtime, serialization, development) and optional size visualization in megabytes \n Parses cargo metadata and cargo tree output to extract and format dependencies with standard box-drawing characters \n Trigge

Dynamically generate skills for Rust crates and standard library documentation. \n \n Supports both agent mode (via /create-llms-for-skills and /create-skills-via-llms commands) and inline mode for skills-only installations \n Handles third-party crates (tokio, serde, axum) and Rust std library modules with automatic URL construction \n Generates SKILL.md files with overview, key types, common patterns, and reference documentation organized by module \n Includes URL templates and helpers for con

Generate game assets using AI image generation APIs and prepare them for use in Godot 4.x. This skill covers the complete art pipeline from concept to Godot-ready sprites.