Dados e Análise
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codex-explain
Explain complex code via Codex MCP. Use when: understanding complex logic, tracing data flow, onboarding to unfamiliar code. Not for: code review (use codex-code-review), exploration (use code-explore). Output: structured explanation at chosen depth.
seo-aeo-best-practices
SEO and AEO best practices for metadata, Open Graph, sitemaps, robots.txt, hreflang, JSON-LD structured data, EEAT, and content optimized for search engines and AI answer surfaces. Use this skill when implementing page SEO, technical SEO, schema markup, international SEO, AI-overview readiness, or improving content for Google, ChatGPT, Perplexity, and similar assistants.
clean-data
Interactive data profiling and cleaning assistant for medical research. Three-stage workflow (profile, flag, code-generate) with user approval gates at each step. Handles missing values, outliers, duplicates, and type mismatches in CSV/Excel clinical data. Does NOT auto-clean — all decisions require researcher confirmation.
rsbkb (Rust BlackBag)
rsbkb oferece ferramentas de linha de comando para manipulação de dados binários, como hex/unhex, codificação/decodificação de URL, CRC, base64, padrões de estouro de buffer, XOR, entropia, fatiamento, bgrep, busca de objetos compartilhados, codificação/decodificação de timestamp, compressão, conversão de base e escape.
patent-diagram-generator
Create patent-style technical diagrams including flowcharts, block diagrams, and system architectures using Graphviz with reference numbering
spring-boot-skill
Build Spring Boot 4.x applications following the best practices. Use this skill: * When developing Spring Boot applications using Spring MVC, Spring Data JPA, Spring Modulith, Spring Security * To create recommended Spring Boot package structure * To implement REST APIs, entities/repositories, service layer, modular monoliths * To use Thymeleaf view templates for building web applications * To wri
coach
Cria planos de treino personalizados para atletas de triatlo, maratona e ultra-resistência, incluindo treinos específicos para cada esporte, zonas e estratégias para o dia da corrida. Pode sincronizar com o Strava ou usar dados de condicionamento físico fornecidos manualmente para gerar planos periodizados.
hugging-face-datasets
Create and manage datasets on Hugging Face Hub. Supports initializing repos, defining configs/system prompts, streaming row updates, and SQL-based dataset querying/transformation. Designed to work alongside HF MCP server for comprehensive dataset workflows.
azure-postgres-ts
Connect to Azure Database for PostgreSQL Flexible Server from Node.js/TypeScript using the pg (node-postgres) package.
azure-storage-file-datalake-py
Azure Data Lake Storage Gen2 SDK for Python. Use for hierarchical file systems, big data analytics, and file/directory operations.
scanpy
Scanpy is a scalable Python toolkit for analyzing single-cell RNA-seq data, built on AnnData. Apply this skill for complete single-cell workflows including quality control, normalization, dimensionality reduction, clustering, marker gene identification, visualization, and trajectory analysis.
sql-optimization-patterns
Transform slow database queries into lightning-fast operations through systematic optimization, proper indexing, and query plan analysis.