Skills for your AI
Handles data entry tasks end to end — extraction, cleaning, formatting, validation, migration, integration, categorization, enrichment, analysis, and automated entry from emails, forms, documents, images, audio, spreadsheets, web pages, and business cards — wi
Guides data analysts through privacy and ethics work such as anonymization, consent design, privacy policies, governance, bias mitigation, PIAs, breach response, retention, training, and secure data sharing. Use when an analyst needs practical frameworks, temp
This skill enables extraction of structured data from any document format using unstructured - a unified library for processing PDFs, Word docs, emails, HTML, and more. Get consistent, structured output regardless of input format.
Extracts structured JSON data from 40+ websites (e-commerce, professional networks, social media, maps, finance, and more) via Bright Data APIs. Use when the user provides a URL and dataset type and wants product, profile, post, review, listing, or custom-data
Cleans, standardizes, categorizes, and structures datasets into tables, templates, validation rules, and retrieval systems. Use when a data entry specialist needs duplicates removed, formats unified, data sorted or categorized, tables or charts built, template
Guides data governance and compliance work — classification, privacy and retention policies, access control, data quality, breach response, governance frameworks, compliance monitoring, anonymization and DPIAs, training, vendor and consent management, ethical
Classifies, monitors, and audits data assets for compliance and quality, covering classification, quality, privacy, frameworks, lineage, stewardship, retention, access control, training, and audits. Use when the user needs data classified, quality standards se
Helps Chief Digital Officers plan, implement, and monitor data governance across classification, quality, privacy, access, retention, lineage, stewardship, frameworks, training, metrics, and audits. Use when the user needs classification reports, quality analy
Turns raw datasets into cleaned data, statistics, forecasts, segments, and executive-ready narratives. Use when the user asks to clean data, explore patterns, test hypotheses, forecast outcomes, analyze sentiment, segment customers, detect anomalies, or report
Plans and documents data integration, architecture, governance, migration, MDM, ETL, and cataloging work for a Chief Digital Officer. Use when the user asks for data mapping, cleansing, migration strategy, governance policy, metadata standards, warehouse desig
Plans and executes data integration work — cleaning, transforming, merging, deduplicating, normalizing, validating, enriching, quality assessment, and cloud or ML pipeline support. Use when the user brings datasets to clean, convert, join, standardize, validat
Analyzes datasets with statistics, visualization, pattern detection, clustering, forecasting, NLP and validation, returning evidence-based insights. Use when a user uploads or references data and asks for statistical tests, charts, trends, correlations, outlie
Provides data management analysis, recommendations, and step-by-step guides across classification, governance, privacy, quality, lifecycle, integration, analytics, access, backup, and compliance. Use when a VP of IT needs data classification, governance framew
Analyzes and improves data management practices across cleansing, integration, quality, governance, security, storage, analytics, lifecycle, master data, cataloging, and migration. Use when the user asks to find duplicates or quality issues, unify data sources
Classifies, secures, governs, and analyzes data by producing tagging schemes, quality reports, governance frameworks, lifecycle, storage, security, integration, backup, master data, reporting, and training deliverables. Use when a technology manager needs data
Guides CIOs through data management strategy, from classification and governance to security, quality, lifecycle, analytics, and compliance. Use when the user asks to classify data, build a governance framework, plan backup or disaster recovery, design integra
Plans and verifies database migrations covering assessment, mapping, cleansing, validation, backup, security, synchronization, error handling, performance, and documentation. Use when planning a migration, mapping schemas, cleaning or validating data, or prepa
Guides data entry specialists through planning, executing, and verifying data migrations between systems, covering mapping, cleansing, extraction, loading, reconciliation, quality assurance, testing, documentation, archiving, project management, and compliance
Designs, documents, validates, and plans data structures—ERDs, normalization, data dictionaries, integration mappings, and migration plans—from schemas and business requirements. Use when an analyst needs entity/relationship analysis, attribute definitions, mo
Data pipeline and ETL automation - extract, transform, load workflows for data integration and analytics
Guides data scientists through data preprocessing steps including cleaning, imputation, outlier treatment, scaling, encoding, imbalance handling, feature selection, dimensionality reduction, time series, discretization, and augmentation. Use when a dataset nee
Guides data privacy compliance work across GDPR, CCPA, HIPAA and other regulations, covering classification, policies, breach response, retention, consent, DPIAs, data subject rights, vendors, anonymization, training, audits and transfers. Use when the user as
Guides data privacy compliance work including policy review, data mapping, consent design, subject rights, impact assessments, vendor risk, breach response, training, privacy by design, and audits. Use when the user needs privacy policy gaps found, a data inve
Prepares and guides crisis communications teams through data privacy incidents, from monitoring breach mentions to drafting notifications, plans, training and media kits. Use when a breach occurs, when building or updating privacy policies and response plans,
