Data

analyze-data-quality

Investigate whether structured datasets and query results are trustworthy enough to use. Use for underlying data-quality risks such as freshness, grain, missingness, duplicates, broken joins, schema drift, and conflicting source results.

build-dashboard

Build or update a source-backed interactive dashboard for monitoring, exploration, and operational decisions from connected data, uploaded spreadsheets, CSVs, or other structured sources.

build-report

Build polished analytical reports for executive, product, business, or technical audiences. Use when the task needs a durable narrative answer supported by inspectable evidence.

convert-to-doc

Create a polished DOCX or Google Doc from an existing Data app.

convert-to-slides

Create a polished PowerPoint or Google Slides deck from an existing Data app.

create-data-context

Create, update, or share reusable context for analysis, reports, and dashboards, including tool preferences, look and feel, analysis practices, and data definitions. Use when asked to remember a working instruction for future tasks, save conventions, or maintain existing context.

design-kpis

Design KPI frameworks, metric definitions, targets, guardrails, and measurement plans for product or business decisions. Use when success metrics, drivers, guardrails, targets, or the measurement approach need to be defined or improved.

gather-business-context

Gather business context from connected or provided sources so downstream analysis starts with the right framing. Use when an analytical question depends on missing context, such as what a metric means, what changed recently, or which sources should be checked. If the same prompt asks for diagnosis, recommendation, or a deliverable, gather context first and continue to the focused skill.

index

Answer product and business questions with data and route data-related work to the right focused workflow. Use for requests involving data, metrics, trends, comparisons, drivers, KPIs, analysis, dashboards, reports, charts, tables, SQL, notebooks, spreadsheets, market sizing, data quality, reusable data context, data definitions, or working preferences, whether or not Data is at-mentioned. Dashboards can use uploaded spreadsheets, CSVs, or TSVs as source data without making the deliverable a spreadsheet. Do not use Data for general writing, editing, coding, or explanations that require none of these workflows.

jupyter-notebooks

Create, edit, or validate reproducible SQL or Python notebooks. Use for notebooks, SQL/Python scratchpads, reproducible exploration, audit trails, or runnable companions where the analysis should be reviewable or rerunnable.

kpi-reporting

Prepare KPI readouts, scorecards, WBR/MBR/QBR updates, and executive summaries from quantitative business or product metrics; use when the task is to report status, compare against targets, explain validated drivers, and state operating implications.

market-sizing

Estimate market, segment, or opportunity size with transparent assumptions and uncertainty. Use for TAM/SAM/SOM, sizing scenarios, or comparing the scale of possible opportunities.