Skill UI

Guides engineers through building, testing, and deploying Model Context Protocol servers or clients that link AI systems with external tools, emphasizing transports, Zod/Pydantic schema validation, and JSON-RPC compliance checks.

Guides plugin developers through integrating Model Context Protocol (MCP) servers into Claude Code, covering configuration files, server types (stdio, SSE, HTTP, WS), environment variables, and authentication so external services appear as structured tools.

Guides designers of language-model multi-agent systems through supervisor, swarm, and hierarchical patterns while stressing context isolation, coordination protocols, and token economics for complex research or tool-intensive workflows.

Flash Attention optimizer delivers 2-4x speedup and 10-20x memory savings for transformer attention, ideal when training or running long-context models that hit GPU memory or latency limits; supports PyTorch native scaled_dot_product_attention, the flash-attn library, H100 FP8 precision, and sliding-window attention.

A concise reference for spotting and avoiding Perplexity Sonar anti-patterns during reviews, onboarding, or audits, covering citation parsing, model selection, recency handling, and context limits so integrations stay accurate and cost-effective.

Expert in designing and implementing advanced Retrieval-Augmented Generation (RAG) pipelines. This role focuses on optimizing the entire information retrieval process—from document chunking and embedding model selection to vector database architectures and hybrid search strategies. The goal is to bridge the gap between raw knowledge documents and accurate LLM understanding, drastically reducing hallucination and enhancing context relevance for enterprise applications.

Automates React Context setup within frontend development, guiding users through best practices, production-ready code, and validation for React-related modern web patterns.

This skill helps in deriving actionable security requirements directly from threat models and business contexts. It is essential for translating identified security threats into concrete, verifiable requirements, writing robust security user stories, building comprehensive test cases, and mapping compliance needs into architectural documentation.

Integrates MCP (Model Context Protocol) servers with Windsurf to extend Cascade’s reach into databases, filesystems, APIs, and custom toolchains, providing a standardized workflow for configuring, authenticating, and deploying external service connections.

Explains the altitude-and-horizon mental model that differentiates PM and Director thinking, helping leaders diagnose friction zones, create cascading context, and focus on system-level strategy when scope or direction is unclear.

Guides Claude into ultra-granular, line-by-line analysis before hunting vulnerabilities, enforcing first principles, 5 Whys/Hows, and explicit mental models to map invariants, assumptions, and flows across functions and external calls for secure architecture reviews.

Converts RDF context into belief-desire-intention structures so agents can track perceptions, deliberate plans, and emit explainable RDF, supporting BDI frameworks or LLMs needing structured cognition.