Total 50,401 skills, Data Processing has 2557 skills
Showing 12 of 2557 skills
Earnings transcripts completos via API publica de EarningsWhispers. Sin anti-bot, sin auth. 33,500+ stocks globales trackeados. Test ok en mas de 60 tickers, AAPL, MSFT, GGAL, SHEL, TM, VALE etc
Investing.com via HTML scrape: cotizaciones, historico OHLCV, fundamentals (income/balance/cashflow/ratios), dividendos, earnings, perfil de empresa. 81K+ equities, 344 commodities, 10K indices, 2.4K currencies, 10K ETFs, 4.1K cryptos. Cobertura global.
Datos macro y sociales de Argentina via la API oficial Series de Tiempo del Estado (apis.datos.gob.ar/series). ~4250 series del INDEC + BCRA + Min Economia + Sec Trabajo. Sin auth, sin API key. IPC nacional, EMAE, IPI, ISAC, EPH (desempleo), pobreza, comercio exterior, salarios (RIPTE, SMVM), tipo de cambio, reservas, REM expectativas. Transformaciones builtin (% YoY, % YTD, change) y agregacion temporal (daily→monthly→yearly) server-side. La API mas estable y mejor documentada del repo.
Datos de fondos comunes de inversion argentinos via CAFCI (Camara Argentina de Fondos Comunes de Inversion). Combina catalogo JSON (1152 fondos, 4615 clases, fees, IDs, metadata), snapshot diario XLSX (VCP, patrimonio, market share, variaciones), ficha individual markdown (rendimientos TNA por periodo) y composicion de cartera (top activos). Sin API key.
Scraper de datos de Nasdaq.com via API REST interna: cotizaciones, short interest, financials, institutional holdings, opciones, noticias. Sin API key.
Data financiera de 120K+ stocks globales: snowflake scores, valuation, financial health, dividend analysis, insider transactions. Sin API key.
Install and verify cuPyNumeric for Python — requirements, commands, verification. Source builds are out of scope.
Write and debug TypeQL queries for TypeDB 3.8+. Use when working with TypeDB schemas, data queries, insertions, deletions, or functions. Covers schema definition, CRUD operations, pattern matching, aggregations, and common pitfalls.
Configure Databricks profile and authenticate for Databricks Connect, Databricks CLI, and Databricks SDK.
Complete guide for dbt data transformation including models, tests, documentation, incremental builds, macros, packages, and production workflows
PostgreSQL-based semantic and hybrid search with pgvector and ParadeDB. Use when implementing vector search, semantic search, hybrid search, or full-text search in PostgreSQL. Covers pgvector setup, indexing (HNSW, IVFFlat), hybrid search (FTS + BM25 + RRF), ParadeDB as Elasticsearch alternative, and re-ranking with Cohere/cross-encoders. Supports vector(1536) and halfvec(3072) types for OpenAI embeddings. Triggers: pgvector, vector search, semantic search, hybrid search, embedding search, PostgreSQL RAG, BM25, RRF, HNSW index, similarity search, ParadeDB, pg_search, reranking, Cohere rerank, pg_trgm, trigram, fuzzy search, LIKE, ILIKE, autocomplete, typo tolerance, fuzzystrmatch
Use when asked to visualize sales territories, coverage areas, service regions, or geographic boundaries on interactive maps.