Skill UI

This skill details the architecture and implementation of a robust API Gateway, serving as the single entry point for multiple backend microservices. It centrally manages critical cross-cutting concerns, including path-based and header-based routing, JWT/OAuth2 authentication, rate limiting, load balancing, and circuit breaker protection. This pattern is essential for building resilient, scalable, and maintainable microservices architectures, significantly simplifying client integration and request management.

Manages CodeRabbit's enterprise access control, seat assignment, and organization-wide policies. This is crucial for large organizations needing centralized control over who receives AI code reviews, defining global coding standards via YAML, and implementing granular Role-Based Access Control (RBAC) across multiple repositories and teams. Use when scaling AI code quality checks across multiple departments.

Guides creation of competitor comparison or alternative landing pages for SEO and sales enablement, detailing honesty-first messaging, multiple page formats, and centralized competitor data so evaluators can choose confidently.

A comprehensive guide for setting up Single Sign-On (SSO) for Cursor IDE using industry standards like SAML 2.0 and OpenID Connect (OIDC). This guide supports major Identity Providers, including Okta, Microsoft Entra ID, and Google Workspace. It covers configuration steps, attribute mapping, SCIM provisioning, and best practices for enterprise-level authentication and user lifecycle management.

This repository provides production-ready, structured templates for building core Decentralized Finance (DeFi) protocols using Solidity. Templates cover essential components such as staking reward systems, Automated Market Makers (AMMs), governance logic, lending/borrowing mechanisms, and flash loans. It is essential for developers aiming to build robust and scalable smart contract applications on blockchain platforms.

Centralizes Docnify task automation through Rube MCP and Composio, guiding you to discover current schemas, verify connections, and invoke the proper tools in structured workflows.

This tool detects profitable arbitrage opportunities across centralized exchanges (CEX), decentralized exchanges (DEX), and cross-chain markets in real-time. It aggregates price data, calculates net profit after fees, and identifies various arbitrage paths, including direct, triangular, and cross-chain opportunities. It is designed for quantitative traders needing to monitor market efficiency and exploit price discrepancies.

A comprehensive guide for implementing standardized, robust error handling in modern APIs. It utilizes RFC 7807 Problem Details, centralized middleware, and typed error classes to convert diverse failure types (validation, auth, database, upstream service) into consistent, machine-readable responses with correct HTTP status codes. Essential for building production-grade, resilient backends.

This module provides production-grade patterns for integrating the Juicebox AI-powered people search API. It includes a singleton client for centralized rate-limit handling, a robust request builder for complex criteria (location, company, experience years), and structured error wrappers for reliable API calls (retries, error context). Ideal for building scalable recruitment, market research, or data enrichment tools.

This comprehensive skill implements advanced event-driven patterns for LangChain applications. It provides custom callback handlers to observe every stage of chain execution (e.g., tool start/end, LLM token generation). Furthermore, it supports real-time data transmission via Server-Sent Events (SSE) and WebSockets, and integrates webhooks for centralized event logging and comprehensive tracing.

LangSmith centralizes tracing, evaluation, and monitoring for LLM applications, letting teams debug prompts, run regression tests, collect latency/cost metrics, and integrate with OpenAI, Anthropic, LangChain, or LlamaIndex to keep production systems observable.

A comprehensive deep dive guide for migrating translation memory (TM) and localization content from competing Translation Management Systems (TMS) like Crowdin, Phrase, or POEditor into Lokalise. This process involves exporting data from the source platform, transforming key variables and file structures to match Lokalise conventions, and finally performing a bulk API upload to establish a new, centralized localization repository. Perfect for re-platforming or migrating existing translation pipelines.