Skills for your AI
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
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
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
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
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
Turns financial data into clear charts, dashboards, reports, and maps, from cleaning through validation and export. Use when the user needs financial data cleaned, a chart or dashboard built, a report designed, trends or anomalies explored, comparisons made, f
Guides analysts from raw data to decision-ready charts, dashboards, and narratives by recommending data prep steps, chart types, design specs, layouts, accessibility fixes, and test plans. Use when preparing data for visualization, choosing chart types, design
Turns raw data into clear charts, narratives, dashboards, infographics, templates, training content, and tool recommendations for client presentations. Use when a consultant needs to analyze data, choose or build a visual, explain trends, plan a workshop, or r
Guides database administrators through data warehouse design, ETL optimization, integration, performance tuning, security, governance, maintenance, and analytics. Use when the user asks about data warehousing fundamentals, schema or architecture choices, ETL w
Automate database synchronization, replication, migration, and cross-platform data integration
Resolves entity names, coordinates, and Wikidata IDs to Data Commons DCIDs, discovers available statistical variables, fetches observations, explores the knowledge graph, and processes results with Pandas. Use when the user asks for public statistical data suc
Searches Datadog logs, metrics, traces and dashboards via the Datadog CLI to debug production issues. Use when the user asks to find errors in a service, query metric timeseries, trace a request, summarize or compare errors, tail logs, aggregate logs by facet,
Conducts structured multi-source research through NotebookLM and delivers formatted research briefs with optional studio artifacts. Use when the user requests market, competitive, prospect, trend, proposal, or academic research, asks for a research brief, or w
Create professional diagrams using Mermaid, PlantUML, and other text-based diagram tools. Generate flowcharts, sequence diagrams, architecture diagrams, and more.
Runs DiffDock diffusion-based molecular docking to produce ranked 3D binding poses with confidence scores, and analyzes or batch-screens results. Use when the user wants to dock a ligand to a protein, run virtual screening on a CSV of complexes, rank or classi
