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Skeptical design-patterns reference catalog for modern Go and Python — keeps repository, adapter, strategy, decorator, observer, builder; flags the rest as anti-patterns. Consultative, not active: consult before introducing a pattern in code-design-refactor or improve-codebase-architecture, or when pushing back on a cargo-cult one. Not a refactoring rung itself.

Differential gene expression analysis (Python DESeq2). Identify DE genes from bulk RNA-seq counts, Wald tests, FDR correction, volcano/MA plots, for RNA-seq analysis.

FastAPI/Python 백엔드 코드 작성·리뷰 시 자동 참조. 비동기 프로그래밍, Pydantic 스키마, 기능/책임 단위 모듈화 원칙.

Crie aplicações de IA com o SDK Python do Azure AI Projects (azure-ai-projects), ideal para clientes Foundry, criação de agentes versionados, avaliações, gerenciamento de recursos e uso de clientes compatíveis com OpenAI. Para operações de agente de baixo nível, use a skill azure-ai-agents-python.

Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).

Design distributed systems using microservices patterns. Triggers on: microservices, service mesh, distributed systems, event-driven architecture, saga pattern, service boundaries, monolith to microservices, API gateway, message queue, eventual consistency, circuit breaker, gRPC, service decomposition. Provides ADRs, service boundary diagrams, API contracts, data flow analysis, and failure mode as

Use this skill when reviewing Python code for common anti-patterns to avoid. Use as a checklist when reviewing code, before finalizing implementations, or when debugging issues that might stem from known bad practices.

Token-efficient library documentation fetcher using Context7 MCP with 86.8% token savings through intelligent shell pipeline filtering. Fetches code examples, API references, and best practices for JavaScript, Python, Go, Rust, and other libraries. Use when users ask about library documentation, need code examples, want API usage patterns, are learning a new framework, need syntax reference, or tr

Build production-ready AI workflows using Firebase Genkit. Use when creating flows, tool-calling agents, RAG pipelines, multi-agent systems, or deploying AI to Firebase/Cloud Run. Supports TypeScript, Go, and Python with Gemini, OpenAI, Anthropic, Ollama, and Vertex AI plugins.

SDK do Azure AI Search para Python, usado para busca vetorial, híbrida, ranqueamento semântico, indexação e conjuntos de habilidades. Gatilhos incluem "azure-search-documents", "SearchClient", "SearchIndexClient", "vector search", "hybrid search" e "semantic search".

Expert-level architecture review and design guidance for Python backends, with deep knowledge of FastAPI, PostgreSQL, async patterns, and modern Python project structure. Use this skill whenever the user asks you to review Python code architecture, design a new Python backend, evaluate project structure, assess API design, review database schemas, audit security posture, or discuss scalability of

Elite UX/UI & Advanced GSAP Motion Engineer. Enforces Python-driven true randomization for layout variance, strict AIDA page structure, wide editorial typography (bans 6-line wraps), gapless bento grids, strict GSAP ScrollTriggers (pinning, stacking, scrubbing), inline micro-images, and massive section spacing.