Results for “da”

AutoAugment: Learning Augmentation Strategies from Data

Autonomous financial research agent for stock analysis, financial statements, metrics, prices, SEC filings, and crypto data.

Validates data quality with completeness, consistency, accuracy checks and generates quality reports

Optimizes DAW workflows with template creation, keyboard shortcuts, and session organization strategies

Designs ETL/ELT data pipelines with Apache Airflow, dbt, or Prefect configurations

Globus CLI workflow for staging HuBMAP CODEX datasets from remote endpoints to HiPerGator

Detect processed data produced with old/buggy KINTSUGI code via timestamp forensics

Integration fixes between backtest engine, FastAPI dashboard, Vue.js frontend, and live trader

Cria visualizações de dados interativas e profissionais usando Highcharts.js, gerando HTML standalone com gráficos animados, responsivos e acessíveis. Use este skill sempre que o usuário pedir para criar gráficos, charts, dashboards, visualizações de dados, ou qualquer representação visual de dados numéricos/categóricos. Deve ser usado quando o usuário mencionar termos como "gráfico", "chart", "dashboard", "highcharts", "visualização de dados", "gráfico de linhas", "barras", "pizza", "scatter", "heatmap", "treemap", "gauge", "stock chart", "mapa", "gantt", "sankey", "funnel", ou quando fornecer dados (CSV, JSON, tabela, planilha) pedindo representação visual. Também deve ser ativado quando o usuário pedir gráficos bonitos, interativos, animados, com tooltip, drill-down, ou exportáveis. Funciona com dados inline, CSV, JSON, e arquivos de dados. Sempre gera HTML standalone completo e funcional.

京东到家

Use this skill when the user asks about DataQ — FMCSA's data review system at dataqs.fmcsa.dot.gov — for disputing inspection violations, crash records, or other entries that appear in a carrier's CSA / SMS score. Covers Request for Data Review (RDR) process, success rates, common dispute grounds, what evidence to attach, timeline expectations, and how successful disputes reduce BSI (BASIC Severity Indicator) scores. Cite 49 CFR 392.7 and the FMCSA DataQs User Guide.

Query Google Data Commons for public statistical data aggregated from global sources, resolving geographic entities and pulling time-series statistics. Use when working with demographic data, economic indicators, health statistics, or environmental data — population counts, GDP figures, unemployment rates, disease prevalence — or when resolving places to DCIDs and exploring relationships between statistical entities. Part of the AlterLab Academic Skills suite.

GDPR compliance implementation. Data subject rights (access, deletion, portability), consent management, data processing records, PII handling, and privacy by design patterns. USE WHEN: user mentions "GDPR", "data privacy", "right to be forgotten", "data deletion", "consent management", "PII", "data subject request", "privacy policy", "cookie consent" DO NOT USE FOR: authentication - use auth skills; encryption - use `cryptography`; audit logging - use `audit-logging`

Esta habilidade deve ser usada ao trabalhar com LaminDB, um framework de dados de código aberto para biologia que torna dados consultáveis, rastreáveis, reproduzíveis e FAIR. Use ao gerenciar datasets biológicos (scRNA-seq, espacial, citometria de fluxo, etc.), rastrear workflows computacionais, curar e validar dados com ontologias biológicas, construir data lakehouses, ou garantir linhagem de dados e reprodutibilidade em pesquisa biológica. Aborda gerenciamento de dados, anotação, ontologias (genes, tipos de célula, doenças, tecidos), validação de esquema, integrações com orquestradores de workflow (Nextflow, Snakemake) e plataformas MLOps (W&B, MLflow), e estratégias de deployment.

Enables the Google Analytics Data API, authenticates via gcloud, and creates customized reports using the v1beta client library.

Load sharded datasets (npy, Parquet, HDF5, raw binary) into distributed cuPyNumeric arrays using manual partitioning and Legate task launches.

Generate production-ready Python code using the Dataverse SDK with error handling, retry logic, OData optimization, and logging.

Design reliable, scalable, and maintainable data systems by applying principles from storage engines, replication, partitioning, transactions, and consistency models.

Write, optimize, and debug Apache Spark jobs for high-performance distributed data processing, ETL pipelines, and big data workloads.

Generates a standard admin dashboard page with a fixed sidebar, top bar, KPI card grid, 1-2 charts, and a recent activity list.

Process and analyze tabular datasets larger than RAM using lazy, out-of-core DataFrames, with fast aggregations, visualization, and machine learning integration.

Construye pipelines ETL/ELT con Pandas: extracción, transformación y carga de datos con logging, manejo de errores, idempotencia y opciones de orquestación.

Extracts structured JSON data from complex multi-page websites using an AI agent that navigates pages and returns results matching a schema.

Create data-driven charts with Vega-Lite and Vega, covering bar, line, scatter, heatmap, area, radar, and word cloud visualizations from structured data arrays.

Discovers and invokes external APIs and tools dynamically through the QVeris service, covering weather, search, stock data, and more.

Create, schedule, and verify database backups with support for full, incremental, and point-in-time recovery strategies. Use when the user requests database backup or provides relevant inputs for this workflow.

Query Google Analytics 4 (GA4) data via the Analytics Data API. Pull website analytics like top pages, traffic sources, user counts, sessions, conversions, or any GA4 metrics and dimensions, with support for custom date ranges and filtering.

Use when working in Go and you need DataList/DataTable-style data wrangling, quick previews, parallel transforms, file I/O (CSV/Excel/Parquet), Excel-like column formulas (CCL), or charts; also use when data analysis is requested without a specified stack, defaulting to Go + Insyra over Python + pandas.

Implements compliance with Turkey's Personal Data Protection Law (Kisisel Verilerin Korunmasi Kanunu, KVKK, Law No. 6698). Covers data controller obligations, data subject rights, VERBIS registration, cross-border transfer restrictions, Board decisions, and administrative fines. Keywords: KVKK, Turkey, VERBIS, data controller registry, Board decision, cross-border.

Expert database optimizer specializing in modern performance tuning, query optimization, and scalable architectures. Masters advanced indexing, N+1 resolution, multi-tier caching, partitioning strategies, and cloud database optimization. Handles complex query analysis, migration strategies, and performance monitoring. Use PROACTIVELY for database optimization, performance issues, or scalability challenges.

Design telemetry systems, define KPIs, analyze player behavior data, and set up dashboards for data-driven game design decisions. Use when instrumenting a game for analytics or interpreting player data. Also trigger for "game telemetry", "player analytics", "game metrics", "KPIs", "player retention", "funnel analysis", or "player behavior".

Create a daily business brief from local docs, memory, tasks, and safe web context.

Profile an unfamiliar dataset — shape, grain, quality, nulls, distributions, and duplicates — before any analysis is trusted.

COYO-700M: Image-Text Pair Dataset

Drive data strategy with governance frameworks, analytics platforms, AI/ML initiatives, and privacy compliance.

The most expensive database mistakes are made before a single row is written, by