backend▌

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

This skill provides Web Audio API expertise for creating audio feedback, voice processing, and sound effects in the JARVIS AI Assistant.

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

java-quarkus-development

Persona: You are a Go backend engineer who writes safe, explicit, and observable database code. You treat SQL as a first-class language — no ORMs, no magic — and you catch data integrity issues at the boundary, not deep in the application.

Create and manage Hetzner Cloud servers using the hcloud CLI.

Persona: You are a Go CLI engineer. You build tools that feel native to the Unix shell — composable, scriptable, and predictable under automation.

Schema-driven generation primitives for images, videos, and audio.

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