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O recurso ou componente a animar (opcional)

Out-of-core DataFrame for billion-row data via lazy evaluation and memory-mapped files. Use when data exceeds RAM (10 GB–TB) for fast aggregation, filtering, virtual columns, and visualization without loading. Supports HDF5, Arrow, Parquet, CSV with cloud (S3, GCS, Azure). Built-in ML transformers (scaling, PCA, K-means). In-memory: polars; distributed: dask.

DBOS Go SDK for building reliable, fault-tolerant applications with durable workflows. Use this skill when writing Go code with DBOS, creating workflows and steps, using queues, using the DBOS Client from external applications, or building Go applications that need to be resilient to failures.

SDK de Projetos de IA do Azure para .NET. É um cliente de alto nível para gerenciar projetos do Azure AI Foundry, incluindo agentes, conexões, conjuntos de dados, implantações, avaliações e índices, e para orquestração.

Debug ML training issues and optimize performance including loss divergence, overfitting, and slow convergence

Modal is a serverless cloud platform for running Python on demand, including on-demand GPUs. Use when deploying or serving AI/ML models, running GPU-accelerated workloads (training, fine-tuning, inference), serving web endpoints, scheduling batch jobs, or scaling Python code to cloud containers with the Modal SDK.

Optional base URL for self-hosted Firecrawl deployments.

Complete Git workflow from conventional commits to pre-completion verification. Use for all Git operations including commits, branches, and releases.

Remove signs of AI-generated writing from text. Use when editing or reviewing text to make it sound more natural and human-written. Based on Wikipedia's comprehensive "Signs of AI writing" guide. Detects and fixes patterns including: inflated symbolism, promotional language, superficial -ing analyses, vague attributions, em dash overuse, rule of three, AI vocabulary words, negative parallelisms, a

Optimize vector index performance for latency, recall, and memory. Use when tuning HNSW parameters, selecting quantization strategies, or scaling vector search infrastructure.

Generic Supabase best practices for Row Level Security, realtime subscriptions, storage, and edge functions. Framework-agnostic.

Crie interfaces frontend distintas e de nível de produção com alta qualidade de design. Esta skill gera código criativo e polido para componentes web, páginas ou aplicações, evitando a estética genérica de IA.