Results for “data”

Build streaming data pipelines with Redpanda Connect using declarative YAML configs, Bloblang mappings, and component discovery. Covers running, linting, and dry-running pipelines.

Crea gráficos profesionales con Matplotlib, Seaborn y Plotly, desde exploración rápida hasta visualizaciones publicables, eligiendo el tipo de gráfico adecuado para cada historia de datos.

Designs scalable GraphQL APIs with schema design, DataLoader for N+1 prevention, and Apollo Client caching, while avoiding common anti-patterns.

Systematically explore an unfamiliar codebase and build a reusable architecture summary with file:line evidence, starting from documentation and tracing data flow.

Runs SQL queries and data conversions on CSV, Parquet, and JSON files using the DuckDB command-line interface, including schema inspection and output formatting.

Generates a comprehensive, editable schema reference file for a data warehouse, including table metadata, row counts, and codebase context, to enable instant concept-to-table lookups.

Provides a pre-built Salesforce Service Cloud data model template with Mermaid diagrams, ASCII fallback, and relationship summaries for documentation and analysis.

Discovers and executes external APIs and tools dynamically via the QVeris API, covering weather, stock data, web search, and more.

Design and implement production-grade GraphQL APIs with schema design, DataLoader for N+1 prevention, Apollo Client caching, and federation patterns.

Provides guidance on production AI operations including RAG pipelines, vector databases, embeddings, fine-tuning, prompt engineering, cost estimation, and quality evaluation.

Implement real-time features using WebSockets, Supabase Realtime, Server-Sent Events, and live data. Use when user wants "real-time", "live updates", "WebSocket", "notifications", "chat", "collaborative", "presence", "live data", or "instant sync".

Fetch public financial data using Python requests from SEC EDGAR, Yahoo Finance, and other free sources. Use when tasks require online lookup of financial statements, stock data, or market figures.

Use when implementing globe.gl (Globe.GL) for 3D globe data visualization with WebGL/ThreeJS, including setup, data layers (points, arcs, polygons, labels), and integration patterns in plain HTML or React.

Use when a Firebase app needs Firestore collection design, document shape, subcollection strategy, security rule implications, or query-aware data modeling. Trigger on requests to design Firestore data structures before implementation.

Draft a detailed privacy policy covering data types, jurisdiction, GDPR and compliance considerations, and clauses needing legal review. Use when creating a privacy policy, updating data protection documentation, or preparing for compliance.

Query the U.S. Treasury Fiscal Data REST API for federal financial data including national debt, daily and monthly treasury statements, securities auctions, interest rates, exchange rates, savings bonds, and government revenue and spending statistics. No API key required.

Comprehensive Python library for astronomy and astrophysics. This skill should be used when working with astronomical data including celestial coordinates, physical units, FITS files, cosmological calculations, time systems, tables, world coordinate systems (WCS), and astronomical data analysis. Use when tasks involve coordinate transformations, unit conversions, FITS file manipulation, cosmological distance calculations, time scale conversions, or astronomical data processing.

Meta-Analysis Master with Data Integrity, Effect Size, Error Prevention & Sensitivity Multi-gate validation and workflow orchestration for meta-analysis. Absorbed C6 (Data Integrity Guard), C7 (Error Prevention Engine), B3 (Effect Size Extractor), E5 (Sensitivity Analysis - Meta) capabilities Triggers: meta-analysis, pooled effect, heterogeneity, forest plot, funnel plot, Hedges g, data integrity, effect size extraction, sensitivity analysis

Implement, audit, and validate JSON-LD structured data to earn rich results in Google and improve AI search visibility.

Manage Azure Machine Learning resources including workspaces, jobs, models, data, compute, and pipelines using the SDK v2 for Python.

Turn model work into a production ML system with data contracts, repeatable training, measurable quality gates, deployable artifacts, and operational monitoring.

Provides safe, reversible database schema change patterns for PostgreSQL, MySQL, and common ORMs, with guidance on zero-downtime deployments, rollbacks, and migration tooling.

Diagnoses and resolves slow Qdrant indexing and data ingestion by optimizing batching, sharding, HNSW parameters, and payload indexing strategies.

Analyzes cryptographic code to detect operations that leak secret data through execution timing variations, supporting multiple languages.

Extracts structured business data from Google Maps, including names, categories, contact info, ratings, and addresses, using the BrowserAct API.

Implement AES-256-GCM encryption for files and data at rest, including key derivation, IV management, and authenticated encryption.

Generates publication-quality figures for ML papers, including architecture diagrams via Gemini and data-driven charts via matplotlib/seaborn.

Streams change data capture from PostgreSQL into Redpanda or Kafka using Redpanda Connect's postgres_cdc input, covering setup, snapshotting, and troubleshooting.

Enables, configures, and troubleshoots Salesforce Person Accounts, covering data model design, IsPersonAccount flag handling, reporting impact, migration planning, and integration requirements.

Maps FHIR R4 clinical resources (Patient, Observation, Condition, CarePlan, CodeableConcept) to Salesforce Health Cloud objects, including prerequisite configuration and cardinality handling.

Turn model work into a production ML system with data contracts, reproducible training, quality gates, deployable artifacts, and monitoring.

Interrogates research plans before evals or published claims, forcing explicit null hypotheses, confound checks, and data verification across four review waves.

Explains MariaDB's REPLACE statement: its delete-then-insert behavior, when it triggers, data-loss risks, and the upsert alternative. Use when writing or reviewing REPLACE statements.

Adopt Swift 6.2's concurrency model with patterns for MainActor isolation, isolated conformances, and explicit background offloading to eliminate data-race errors.

Improves search engine visibility through technical SEO, on-page optimization, and structured data, following Lighthouse audits and Google guidelines.

Provides guidance on using the shadcn/ui component library, including installation, theming, and usage of components like forms and data tables.