Skill UI

A comprehensive guide for developers on building secure and robust APIs across REST, GraphQL, and WebSocket protocols. It covers essential security patterns including robust authentication (JWT, OAuth 2.0), granular authorization (RBAC), input validation to prevent injection attacks (SQLi, XSS), rate limiting, and best practices for data encryption and secure headers. Essential for developers preparing for security audits.

This expert skill specializes in generating comprehensive, structured documentation for microservices and containerized architectures using the C4 Model. It covers system boundaries, container definitions, technology stacks, inter-container communication protocols, API specifications (OpenAPI/Swagger), and deployment infrastructure (e.g., Docker, Kubernetes). Ideal for documenting complex system deployments and mapping architectural relationships.

A comprehensive guide for building production-grade Web3 applications, smart contracts, and decentralized systems. Covers expertise in DeFi protocols, NFT platforms, DAOs, cross-chain interoperability, and advanced smart contract security patterns (Solidity, Rust). Ideal for developers building complex, resilient decentralized finance (DeFi) and enterprise-grade blockchain solutions.

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.

This guide outlines essential security protocols for integrating Fireflies.ai. It covers best practices for managing sensitive API keys (e.g., environment variables, pre-commit hooks), implementing robust HMAC-SHA256 webhook signature verification in multiple languages (TypeScript, Python), and correctly configuring transcript privacy levels to ensure data confidentiality. Ideal for developers setting up production-ready integrations.

Fuzzing Dictionary supplies domain-specific tokens to guide fuzzers when targeting parsers, protocols, configs, or file formats so they reach deeper logic; include magic bytes, headers, keywords, and combine generation from LLMs, headers, or binaries before passing via the fuzzer flag.

Provides a comprehensive guide and Python implementation for creating container-based hosted agents in Azure AI Projects. It utilizes ImageBasedHostedAgentDefinition to define the agent's container image, required resources (CPU/memory), supported tools, and communication protocols. Essential for deploying robust, production-ready AI agents within the Azure ecosystem.

A comprehensive framework for assessing the security, privacy, and compliance posture of Kling AI integrations. It covers crucial areas such as data residency, credential management, content policy adherence, and GDPR compliance (e.g., right to erasure). Use this guide when preparing for security audits or implementing robust data handling protocols for AI-generated content.

Used for building, debugging, and extending MCP servers and clients. This skill implements robust connections between AI systems and external tools/data sources using structured protocols like JSON-RPC 2.0. Expertise includes defining tool schemas (Zod/Pydantic), configuring transport layers (HTTP/SSE/stdio), and scaffolding full-stack projects in TypeScript or Python.

Guides distributed system architecture by decomposing monoliths, defining bounded contexts, selecting communication protocols, and recommending resilience, observability, and deployment strategies for cloud-native microservices.

This comprehensive guide helps developers make critical architectural decisions in modern Node.js development. It covers framework selection (Fastify, Hono, Express), implementing layered architecture, mastering async patterns, robust error handling, and essential security protocols. The focus is on teaching architectural thinking and problem-solving skills, ensuring the development of scalable, high-performance, and maintainable backend APIs.

This guide provides essential security protocols and coding best practices for integrating with OpenEvidence, a platform processing Protected Health Information (PHI). It covers mandatory topics such as HIPAA compliance, API key management, webhook signature verification, input validation, and data redaction, ensuring all interactions are secure and audit-compliant.