backend▌

Comprehensive backend testing for REST APIs, databases, authentication, and business logic across Jest, Pytest, and Mocha. \n \n Covers unit tests for isolated functions, integration tests for API endpoints, and authentication/authorization flows with detailed examples for Express.js, FastAPI, and other frameworks \n Includes test environment setup, mocking strategies for external dependencies, and database isolation patterns using in-memory or separate test databases \n Provides step-by-step gu

FastAPI best practices and conventions for clean, modern API development. \n \n Use Annotated for all parameter and dependency declarations to maintain type safety, reusability, and compatibility with other contexts \n Declare return types or response models on path operations to enable automatic validation, filtering, serialization, and OpenAPI documentation \n Use async def only when calling async code with await ; default to regular def for blocking operations to avoid event loop blocking \n

Use this skill for backend and API work across web/, worker/, and packages/shared/.

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

$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