Skills for your AI
Use when Codex should act as the Data Privacy Officer specialist from Agency Agents. Corporate data privacy specialist and DPO who builds GDPR, CCPA, and global privacy compliance programs — covering data mapping, privacy impact assessments, consent management
Cleans, filters, deduplicates, and redacts PII from text, image, video, and audio datasets for LLM training using NeMo Curator. Use when the user asks to quality-filter a corpus, remove exact/fuzzy/semantic duplicates, redact PII, curate multi-modal data, or s
Generates Ray Data code for loading, transforming, batch inference, writing, optimization, and ML framework integration. Use when the user needs to read data into a Ray Dataset, preprocess it, run a trained model over it, save results, tune a slow or large pip
Assesses and improves data quality for QA managers, covering profiling, cleansing, validation, completeness, anomaly detection, reporting, improvement planning, monitoring, audits, governance and training. Use when the user asks to profile, clean, validate, au
Audit datasets for completeness, consistency, accuracy, and validity. Profile data distributions, detect anomalies and outliers, surface structural issues, and produce an actionable remediation plan. Use when the user asks to check data quality, profile a data
Runs quality control checks on entered data against source documents, formatting rules, and validation criteria, reporting discrepancies, duplicates, missing fields, and anomalies. Use when data needs accuracy, completeness, formatting, duplicate, validation,
Assesses, cleans, validates, enriches, monitors, and documents data quality, and produces reports, dashboards, governance policies, audits, and training. Use when a dataset needs profiling, cleaning, rule validation, monitoring, documentation, or governance.
Analyzes SQL queries, logs, schemas, and execution plans to find bottlenecks and recommend concrete optimizations. Use when a user wants slow queries diagnosed, indexes recommended, queries rewritten, subqueries or joins optimized, plans analyzed, or partition
Guides IT support specialists through data recovery planning, tool selection, troubleshooting, policy development, risk assessment, training, referrals, automation, and trend monitoring. Use when planning backups, choosing recovery software, handling a data lo
Assesses, plans, tests, and documents data recovery and backup strategies for IT consultants, producing reports, plans, policies, and training materials. Use when evaluating backup systems, planning disaster recovery, comparing recovery tools, testing recovery
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
Discovers, collects, validates, processes, and reports on data from multiple sources for analysis and decision-making. Use when the user needs data sources found, raw data gathered, datasets quality-checked, data cleaned and merged, or patterns and trends iden
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.
Plans and audits laboratory data storage, security, backup, archiving, retrieval, integration, and governance workflows, producing checklists, policies, and step-by-step plans. Use when a lab manager needs to organize or clean datasets, design backup or recove
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
Analyzes, compares, and recommends data structures for performance, memory, scalability, and integration needs, and provides optimization, validation, and reference guidance. Use when comparing complexity of operations, evaluating trade-offs for a scenario, op
Guides engineers in selecting, analyzing, and implementing data structures, from requirements clarification through trade-off evaluation, memory and scalability analysis, code generation, and optimization. Use when choosing a data structure, comparing performa
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
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
