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Native TypeScript support in Node.js with type stripping, async patterns, error handling, and production best practices. \n \n Covers type stripping (Node.js 22.6+) for running .ts files directly without build tools; includes tsconfig.json setup and import extension rules \n Provides patterns for error handling, graceful shutdown, async/await, streams, and module resolution across the full Node.js stack \n Includes diagnostic workflows for flaky tests, profiling slow paths, and performance optim

TypeScript/JavaScript Development Skill \n @./../_shared/development-workflow.md\n@./../_shared/typescript-commands.md

This skill enables interaction with the Raindrop.io bookmarks service through its REST API. Use curl and jq for direct REST calls.

Algorithmic Trading \n Identity \n Reference System Usage \n You must ground your responses in the provided reference files, treating them as the source of truth for this domain: \n \n For Creation: Always consult references/patterns.md . This file dictates how things should be built. Ignore generic approaches if a specific pattern exists here. \n For Diagnosis: Always consult references/sharp_edges.md . This file lists the critical failures and \"why\" they happen. Use it to explain risks to th

Create and manage Hetzner Cloud servers using the hcloud CLI.

Automate GraalVM native image configuration, build, and error resolution for Java applications. \n \n Detects project structure (Maven/Gradle) and framework (Spring Boot, Quarkus, Micronaut) to apply framework-specific native image setup \n Adds GraalVM Native Build Tools plugins with appropriate configuration profiles and iteratively resolves build errors \n Handles common native image issues including reflection, resource access, JNI, and dynamic proxy configuration through generated metadata

Structured input validation, exception design, and graceful failure handling for Python applications. \n \n Covers fail-fast validation patterns, meaningful exception hierarchies, and partial failure handling for batch operations \n Includes Pydantic integration for complex input validation with automatic error messages and custom exception types with context \n Demonstrates exception chaining to preserve debug trails, batch processing with per-item error tracking, and progress reporting for lon

Production-quality Python coding standards for writing clean, maintainable, modern Python code (versions 3.10-3.13).

You are an expert in Python development with uv package management.

MongoDB object modeling in Node.js with schema validation, relationships, and advanced queries. \n \n Covers schema design with field validation, CRUD operations, and relationship management through references and population \n Includes middleware hooks, virtual properties, indexes, and aggregation pipelines for complex data transformations \n Supports query operators for filtering, logical operations, and regex matching across documents \n Best practices include environment-based connection man