Skills for your AI
Turns customer data, feedback, and metrics into segments, insights, and action plans for Customer Success Managers. Use when defining or refining segments, analyzing needs and pain points, drafting segment messaging, planning campaigns, recommending product fe
Plans and drafts diversity and inclusion initiatives—training, ERGs, inclusive hiring, metrics, bias mitigation, policies, surveys, communications, partnerships, and recognition programs—for HR leaders. Use when the user asks to plan, draft, review, or track a
Analyze spreadsheet data, generate insights, create visualizations, and build reports from Excel/CSV data.
Moves raw project, customer, or operational datasets through cleaning, preprocessing, exploration, statistical analysis, visualization, predictive modeling, and reporting. Use when the user provides a dataset or asks for data quality checks, transformations, E
Cleans, analyzes, visualizes, and reports on datasets to support data-driven decisions. Use when the user needs data cleaning, charts, statistics, trend analysis, insights, reports, automation scripts, forecasting, PII redaction, or data consolidation.
Guides data analysts through cleaning, exploring, modeling, evaluating, and reporting on datasets, with approval gates before any change. Use when the user asks to clean or profile a dataset, engineer features, pick or train a model, compare model metrics, for
Performs quantitative analysis, statistical insights, benchmarking, cohort and A/B test evaluation, SQL extraction, dashboard specs, and data storytelling from authoritative sources. Use when the user needs trends, metric comparisons, data quality checks, visu
Monitors, analyzes, and optimizes data center power usage, forecasting, compliance, cooling, and cost, returning concrete recommendations and step-by-step guidance. Use when a systems administrator asks for power consumption updates, efficiency or consolidatio
Audits tabular data for quality problems such as duplicates, mixed formats, type inconsistencies, and broken totals, and proposes approved fixes with a full change log. Use when a spreadsheet or CSV needs profiling, corruption detection, reconciliation, versio
Use when Codex should act as the Data Consolidation Agent specialist from Agency Agents. AI agent that consolidates extracted sales data into live reporting dashboards with territory, rep, and pipeline summaries
Turns raw data into insights, forecasts, visualizations, and recommendations for executive decisions. Use when analyzing datasets, forecasting outcomes, building dashboards, assessing data quality, integrating sources, simulating scenarios, assessing risk, opt
Turns raw data into analysis, predictions, visualizations, and strategy recommendations for a Chief Digital Officer. Use when the user needs dataset analysis, forecasting, sentiment analysis, dashboards, recommendation engines, anomaly or fraud detection, data
Handles data entry, validation, cleanup, migration, analysis, reporting, security, backups, integration, and training docs for administrative assistants in finance. Use when entering or updating records, deduplicating a database, validating entries against sou
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 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
Data pipeline and ETL automation - extract, transform, load workflows for data integration and analytics
Converts user-provided CSV, Excel, or JSON data into a self-contained HTML report page with KPI cards, charts, a data table, and insights. Use when the user supplies a dataset and asks for a visual report, dashboard, or summary page.
Turns raw data into cleaned, analyzed, visualized, and presentation-ready reports, from collection through scheduled delivery. Use when gathering data from multiple sources, cleaning or validating a dataset, analyzing trends, summarizing findings for an audien
Builds a diligence-ready data room with a stage-appropriate checklist, document sweep and gap report, and an organized numbered folder structure. Use when preparing company documents for investor or acquirer diligence, seed through acquisition or loan.
Guides creation, execution, and refinement of an organization's data strategy across assessment, governance, architecture, analytics, lifecycle, talent, tooling, roadmap, and continuous improvement. Use when a CDO or data leader needs to assess a data landscap
Validates and cleans datasets by checking formats, duplicates, consistency, accuracy, completeness, and integrity, and builds validation scripts and rules. Use when the user asks to reformat data, find or remove duplicates, cross-check fields or sources, verif
Turns raw data into cleaned datasets, chart and dashboard designs, reports, narratives, and monitoring setups for executive decisions. Use when the user provides a dataset for analysis, needs a chart or dashboard recommendation, wants a report or data story, n
Turns raw research data into accurate, interactive visualizations, narratives, dashboards, maps, and infographics. Use when the user needs data cleaned, a chart type chosen, visualization code generated, a data story written, a chart explained or redesigned, o
