A unified, end-to-end SEO capability that guides the AI agent through every phase of search engine optimization — from understanding website goals and performing keyword research to executing technical SEO improvements, optimizing content, analyzing performance, and documenting strategic decisions. This skill serves as the agent's complete framework for improving organic search visibility, traffic, and rankings through structured, data-driven methodology.
A unified, end-to-end frontend engineering skill that guides the AI agent through frontend architecture design, component modeling, state management, styling strategies, API integration, performance optimization, accessibility, testing, build tooling, and the production of maintainable, scalable, and resilient client-side applications following modern best practices.
A comprehensive skill for designing, building, and optimizing a complete Retrieval Augmented Generation (RAG) system, covering knowledge ingestion, document processing, embedding, indexing, retrieval, context construction, prompt engineering, response generation, evaluation, and system optimization.
A unified, end-to-end API design skill that guides the AI agent through the complete lifecycle of API design — from understanding consumers and use cases through resource modeling, endpoint design, request/response shaping, error handling, authentication, versioning, documentation, and API governance. This skill serves as the agent's core decision framework for all API design tasks across REST, GraphQL, gRPC, async APIs, and internal service contracts.
A unified, end-to-end authentication skill that guides the AI agent through the complete lifecycle of authentication system design and implementation — from understanding identity requirements and selecting authentication strategies through credential management, token design, session handling, OAuth 2.0/OIDC flows, multi-factor authentication, API and service-to-service authentication, account recovery, brute-force protection, audit logging, and ongoing security governance. This skill serves as the agent's core decision framework for all authentication, identity verification, and credential management tasks.
A unified, end-to-end backend architecture skill that guides the AI agent through the complete lifecycle of backend system design — from understanding product requirements through service decomposition, API design, data modeling, infrastructure planning, scalability engineering, and architectural documentation. This skill serves as the agent's core decision framework for all backend-core architecture tasks.
A unified, end-to-end caching skill that guides the AI agent through the complete lifecycle of caching architecture and engineering — from identifying caching opportunities and selecting caching layers through cache topology design, caching pattern selection, key design, serialization, invalidation strategy, consistency management, cache warming, eviction policies, distributed cache architecture, CDN and edge caching, cache observability, failure handling, capacity planning, performance tuning, and ongoing cache operations. This skill serves as the agent's core decision framework for all caching design, implementation, optimization, and troubleshooting tasks.
A unified multi-cloud architecture framework that guides the AI agent through end-to-end cloud infrastructure design, service selection, and platform planning across AWS, Google Cloud Platform, and Microsoft Azure — from initial requirements gathering through final architecture documentation.