Results for “pr”

Documenta, versiona y cierra proyectos de análisis de datos para que queden ordenados y reproducibles en el futuro.

Compacts and prunes LanceDB tables in StaticFlow databases to merge fragment files, reduce open file descriptors, and reclaim storage.

Detect anomalies in DNP3 protocol communications used in SCADA systems by monitoring for unauthorized control commands, firmware update attempts, protocol violations, and deviations from baseline traffic patterns using deep packet inspection and machine learning approaches.

Provides MySQL and MariaDB schema, query, indexing, transaction, replication, and connection-pool patterns for production backends.

Automate Affinda document processing operations through Composio's toolkit via Rube MCP, with dynamic tool discovery and connection management.

Automate Cloudlayer document processing tasks through Composio's toolkit via Rube MCP, with dynamic tool discovery and connection management.

Build discrete-event simulations of systems with processes, queues, resources, and time-based events using SimPy in Python.

Build discrete-event simulations of systems with processes, queues, resources, and time-based events using the SimPy framework in Python.

Audits an Obsidian wiki for structural issues like orphaned pages, broken wikilinks, stale content, and provenance drift, with optional automated fixes.

Provides guidance on using the ZVec in-process vector database for efficient similarity search and embedding storage in agent memory systems.

Scaffold a MariaDB Schema Management (MSM) project and author the initial schema in the development folder, creating the project with msm.create_project and writing the first version's tables, objects, and grants into the MSM sections of <schema>_next.sql.

Design production-ready observability strategies combining metrics, logs, and traces, including SLI/SLO design, golden-signals monitoring, and alert optimization.

Translates natural language data intents into syntactically valid Perfetto SQL queries and executes them against a local trace file using trace_processor.

Audits Python + BigQuery pipelines for cost safety, idempotency, and production readiness, returning a structured report with exact patch locations.

Automate gender data lookups and name-based gender predictions using the Genderapi IO API through Rube MCP and Composio.

Verifica la reproducibilidad y consistencia de un análisis de datos antes de presentarlo, validando contra la pregunta original y documentando limitaciones.

Search NHTSA vehicle recalls, FDA food/drug recalls, and CFPB consumer complaints via an MCP server for product safety monitoring.

Analise arquivos FCS (Flow Cytometry Standard) v2.0-3.1. Extraia eventos como arrays NumPy, leia metadados/canais, converta para CSV/DataFrame, para pré-processamento de dados de citometria de fluxo.

Diagnose and observe an Oxla distributed analytical database using system catalog tables, Prometheus metrics, runtime log-level changes, and troubleshooting workflows for slow queries, node health, and memory/OOM pressure. Also covers debugging Oxla's external data sources, including the Redpanda/Kafka ingestion path.

Ingest and process high-throughput event streams using Azure Event Hubs SDK for Python, with support for producers, consumers, and checkpointing.

Bulk-migrate repo labels and Project V2 fields into GitHub org-level issue fields (single select, text, number, date).

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

Process whole slide images for digital pathology: detect tissue, extract tiles, and prepare datasets for deep learning pipelines.

Provides best practices for optimizing MariaDB queries, including indexing strategies, EXPLAIN analysis, pagination, histogram statistics, and MariaDB-specific optimizer settings.

Guides feature extraction and preprocessing for time series data using aeon transformers, covering collection and series transformers with code examples.

Creating Excel spreadsheets programmatically with openpyxl — worksheets, data, formulas, charts, formatting, and named ranges. Use when generating financial models, data reports, dashboards, or any structured spreadsheet from data or templates.

> ⚠️ **AUTHORIZED USE ONLY** — This skill is intended for authorized security professionals only. Use only against systems you own or have explicit written permission to test. Unauthorized use may violate applicable laws.

Execute Stored Procedures on a Fabric Warehouse

Zero-shot univariate time-series forecasting with Google's TimesFM foundation model, producing point forecasts and prediction intervals from CSV/DataFrame/array inputs, with a preflight system checker for RAM/GPU. Use to forecast any univariate series (sales, sensors, energy, vitals, weather) without training a custom model. Part of the AlterLab Academic Skills suite.

TikTok Shop e-commerce data assistant. Search products, find trending items, analyze influencers, explore shops, track video performance, and get ad insights via ecomseer.com. Triggers: 找商品, 搜商品, 爆品, 带货, TikTok电商, 达人分析, 视频带货, 店铺分析, 广告素材, 销量榜, 跨境电商, search products, find trending, TikTok Shop, influencer analysis, shop data, ad creatives, sales ranking, e-commerce analytics, product research.

Routes project management requests to one of eight specialized skills: senior PM, scrum master, Jira, Confluence, Atlassian admin, templates, meeting analyzer, or team communications.

Accelerate pandas workflows with GPU DataFrames using cuDF and dask-cuDF for ETL, joins, groupby, and large-scale data processing.

Provides backend architecture patterns, API design, database optimization, and server-side best practices for Node.js, Express, and Next.js API routes.

Build a persistent, compounding knowledge base that combines a wiki, knowledge graph, and raw source storage for structured retrieval with provenance.

Generate production-ready Dataverse SDK solutions with architecture recommendations, data models, and implementation code for common business use cases.

Query the 1000 Genomes Project dataset at the individual participant level to find variants, carriers, and relatedness information.