Dados e Análise

Módulo T5-01B: Sistemas de Treinamento de LLM (Rastreamento, Épocas e Ablações) com Pandas

Use when preparing a sales demo, an investor demo, a partner walkthrough, or any scripted product flow with talking points. Use 48-72 hours before the live demo so there's time for dry-run, seed data verification, and fallback rehearsal.

Variáveis e tipos de dados Python para bioinformática, abordando nomeação, mutabilidade, referências e tipos numéricos e de string.

Identificação de metabólitos a partir de espectros MS/MS: correspondência espectral, previsão de fórmula molecular e busca em bancos de dados (HMDB, KEGG). Use ao anotar metabólitos desconhecidos.

Initialize HuggingFace integration - validates .env variables, tests API connectivity, and ensures the dataset repository structure exists. Use when onboarding a new project to HuggingFace or when credentials change.

Read and manipulate Obsidian Bases (.base) files - YAML-based database views that render as tables, cards, and grids inside the vault. Use when reading, appending rows, or updating cells in a Base file.

Data quality assessment and preparation for Marketing Mix Models. Use when evaluating datasets for MMM readiness, checking data requirements, validating columns, assessing collinearity, handling missing values, or preparing marketing spend data for pymc-marketing modeling. Also activate when the user asks about minimum data requirements, data granularity, or feature engineering for MMM.

Use this skill whenever a user wants to onboard, deploy, install, or operate kubernetes-ontology; set up its Helm chart, release CLI, daemon, or topology viewer; run Kubernetes topology queries; diagnose Pod or Workload failures with AI-agent workflows; or connect human visual troubleshooting to the CLI and HTTP API. This skill should trigger for requests about Kubernetes ontology onboarding, Helm

Use when the user wants a comprehensive overview of their current Zilliz Cloud environment — context, cluster details, databases, and collections with stats.

Programmatically create and manipulate Obsidian Canvas (.canvas) files using JSON Canvas Spec 1.0. Enables agents to generate visual flowcharts, architecture diagrams, and planning boards. Use when creating or editing visual canvas files.

数据库设计和优化技能，涵盖 ER 图、规范化、索引、分片、查询优化和数据库最佳实践。使用此技能设计数据库架构、优化查询、规划数据架构，或需要数据库扩展和性能调优指导时使用。

Controle de qualidade e pré-processamento de scRNA-seq: construção de AnnData, métricas de CQ, filtragem MAD e estratégias de normalização.