Skill UI

This guide provides production-ready, idiomatic patterns for interacting with Snowflake using official SDKs (Node.js and Python). It covers essential patterns like implementing robust connection pooling, handling asynchronous query wrappers, efficiently streaming large result sets, and utilizing context managers for reliable resource cleanup. Use this when establishing team coding standards or optimizing data access performance.

A comprehensive guide to implementing production-ready patterns for interacting with the Together AI API. This includes a singleton client for seamless OpenAI-compatible integration, robust error wrappers with retry logic, and a fluent request builder. It covers best practices for LLM inference, model setup, and handling diverse response types (chat, embedding, fine-tuning).

This wrapper provides a mechanism to integrate x402 payment walls into Node.js/Express APIs. It enforces micropayments (USDC on Base L2) for API access, enabling robust machine-to-machine (M2M) monetization. By acting as middleware, it requires valid payment signatures, ensuring that every API call is monetized and payments are liquidated atomically.

A deep-dive playbook covering expert techniques for Path Traversal and Local File Inclusion (LFI). It details multiple bypass methods (encoding, null bytes, wrappers), target file enumeration on Linux and Windows, and advanced Remote Code Execution (RCE) escalation paths, such as log poisoning via PHP wrappers.

Diagnoses full-stack failure modes in agent and LLM applications, including wrapper regressions, memory contamination, tool discipline failures, hidden repair loops, and rendering corruption. Produces severity-ranked findings and code-first fixes for production agent systems.

A lightweight tool designed to fetch data from a single URL via HTTP/HTTPS using various methods (GET, POST, PUT, DELETE). It serves as a fast, direct shell wrapper, ideal for replacing complex agent steps that only require simple data retrieval. Supports configurable timeouts and response body capping, making it perfect for quick data fetching in meta-skill workflows.