Results for “data”

Primary Python tool for 40+ bioinformatics services. Preferred for multi-database workflows: UniProt, KEGG, ChEMBL, PubChem, Reactome, QuickGO. Unified API for queries, ID mapping, pathway analysis. For direct REST control, use individual database skills (uniprot-database, kegg-database).

Redis database management. Key-value operations, caching, pub/sub, and data structure commands.

Data analysis best practices with pandas, numpy, matplotlib, seaborn, and Jupyter notebooks.

Manipulates and analyzes data with pandas, including DataFrames, group operations, and time series.

Generate Python SDK setup, CRUD, bulk, and paging snippets for Microsoft Dataverse using official patterns.

Automate DataRobot operations through Composio's toolkit via Rube MCP, including tool discovery, connection management, and task execution.

Sets up Datadog tracing for Node.js applications by installing the dd-trace library and linking to official documentation.

Limpia datasets crudos eliminando nulos, duplicados, outliers e inconsistencias de tipos, con estrategias de imputación y pipelines reproducibles.

Define business questions before starting data analysis to ensure the analysis is meaningful and aligned with business goals.

Transform raw data into compelling narratives with structured story frameworks, visualization techniques, and presentation templates for executive audiences.

`analysis-agent`/`task-agent`/`review-agent`: use when fixtures, factories, seeds, isolation, cleanup, or sensitive test-data rules change; skip when test data is unaffected.

`analysis-agent`/`task-agent`/`review-agent`: use when migration, backfill, deployment order, rollback, or live-data safety needs design; skip when no data migration exists.

RAWG Video Games Database API skill. Use when working with RAWG Video Games Database for creator-roles, creators, developers. Covers 30 endpoints.

Use this when a frontend feature needs a clear plan for server data fetching, caching, invalidation, mutations, optimistic UI, or auth-aware data loading.

Use Alpaca Algo Trader Plus for 4+ years of historical data. Trigger when: (1) increasing lookback, (2) data source selection, (3) yfinance comparison.

Limpia y transforma texto en DataFrames usando expresiones regulares: extrae emails, teléfonos, fechas y precios, valida formatos como CUIL o CBU, y maneja datos inconsistentes con opciones de fuzzy matching.

Use to build PNAS's Data Availability Statement and deposition plan — mandatory deposition of data in an approved repository at submission, accession numbers/DOIs, public + archived code, and materials sharing. "Available on request" is not sufficient for primary data.

Query, search, and download public datasets from the City of Raleigh Open Data portal. Use this whenever someone wants to explore city data — crime reports, food inspections, building permits, bike lanes, parks, zoning, traffic, budgets, or any of 200+ public datasets.

Expert GDPR compliance assistant covering all four core workflows: (1) auditing code and systems for GDPR violations, (2) drafting GDPR-compliant documents such as privacy policies, Data Processing Agreements (DPAs), and consent notices, (3) answering GDPR compliance questions with authoritative article citations, and (4) reviewing data flows and PII handling practices. Use this skill whenever the user mentions GDPR, data protection, privacy compliance, lawful basis, data subject rights, DPA, privacy notices, consent management, data breaches, DPIAs, controller/ processor relationships, cross-border data transfers, or any EU/UK data privacy topic. Also trigger for questions like "is this GDPR compliant?", "how do I handle personal data?", "what does a privacy policy need?", or any request involving PII, personal data, or data retention in a regulatory context.

This skill should be used when working with LaminDB, an open-source data framework for biology that makes data queryable, traceable, reproducible, and FAIR. Use when managing biological datasets (scRNA-seq, spatial, flow cytometry, etc.), tracking computational workflows, curating and validating data with biological ontologies, building data lakehouses, or ensuring data lineage and reproducibility in biological research. Covers data management, annotation, ontologies (genes, cell types, diseases, tissues), schema validation, integrations with workflow managers (Nextflow, Snakemake) and MLOps platforms (W&B, MLflow), and deployment strategies.

This skill should be used when working with LaminDB, an open-source data framework for biology that makes data queryable, traceable, reproducible, and FAIR. Use when managing biological datasets (scRNA-seq, spatial, flow cytometry, etc.), tracking computational workflows, curating and validating data with biological ontologies, building data lakehouses, or ensuring data lineage and reproducibility in biological research. Covers data management, annotation, ontologies (genes, cell types, diseases, tissues), schema validation, integrations with workflow managers (Nextflow, Snakemake) and MLOps platforms (W&B, MLflow), and deployment strategies.

Expert in Prisma - the TypeScript ORM for type-safe database access. Covers schema design, migrations, Prisma Client queries, relations, edge deployment, and performance optimization. Essential for building reliable database layers in TypeScript applications. Use when "prisma, orm, database typescript, prisma client, prisma migrate, type-safe database, prisma, orm, database, typescript, postgresql, migrations, type-safe" mentioned.

Analyze network traffic, logs, and data flows to detect potential data exfiltration via DNS tunneling, cloud storage uploads, encrypted channels, and other indicators of compromise.

Use when processing, storing, or transmitting any data that might contain personally identifiable information (PII) or sensitive personal data. This skill provides procedures for identifying, protecting, and handling personal data in compliance with privacy regulations (POPIA, GDPR, CCPA).

Run Apify web scraping Actors, manage datasets, create reusable tasks, and retrieve crawl results directly from the terminal.

Provides a lightweight local SQLite database access layer for AI agents via an MCP server, with installation and usage guidance.

Guides data protection impact assessments under GDPR Article 35, covering mandatory triggers, risk evaluation, and mitigation steps.

Enforces complexity analysis, correct data structure selection, vectorization, and algorithm implementation discipline at principal-engineer level.

Use to build Science's data, code, and materials availability — mandatory deposition in approved repositories, accession numbers, a compliant data-availability statement, and materials/reagent sharing.

Use this skill to write and run SQL queries, pull data, build metrics, or answer analytical questions. Always use this skill when you need to query data.

Use this skill to write and run SQL queries, pull data, build metrics, or answer analytical questions. Always use this skill when you need to query data.

DCLM: DataComp for Language Models

SNLI-VE: Visual Entailment Dataset

Scaling Data-Constrained Language Models

Comprehensive process for discovering and validating data model requirements before design

Apache Airflow, dbt, Prefect, Dagster, and modern data orchestration for production data pipelines