Profile a dataset, run statistical tests, generate visualizations, build dashboards, write SQL across warehouse dialects, and synthesize findings into stakeholder-ready reports. Skills wrap pandas, plotly, matplotlib, and the major cloud SQL flavors.
Related searches: claude data analysis skill, AI SQL writer, claude code analytics workflow, claude data visualization.
World-class senior data scientist skill specialising in statistical modeling, experiment design, causal inference, and predictive analytics. Covers A/B testing (sample sizing, two-proportion z-tests,
science
Runs a McKinsey-grade spend analysis on a transactional spend file (CSV / Excel / Coupa export). Performs schema inference, data quality assessment, normalization (supplier name crosswalk, category de
engineering
Analyze datasets to extract insights, identify patterns, and generate reports. Use when exploring data, creating visualizations, or performing statistical analysis. Handles CSV, JSON, SQL queries, and
science
Your data has answers. CellCog asks the right questions. #1 on DeepResearch Bench (Feb 2026) + frontier coding agent — upload messy CSVs with minimal prompting and get structured insights back: charts
science
Fast in-process analytical database for SQL queries on DataFrames, CSV, Parquet, JSON files, and more. Use when user wants to perform SQL analytics on data files or Python DataFrames (pandas, Polars),
engineering
Use when working in Go and you need DataList/DataTable-style data wrangling, quick previews, parallel transforms, file I/O (CSV/Excel/Parquet), Excel-like column formulas (CCL), or charts; also use wh
engineering
Renders canned Vectra AI dashboard reports via the Python channel. The user must explicitly name a report from the catalog — active connections, C2 beacon report, DNS error rate, flow records, HTTP st
security
Dashboard auto-orchestration for ChatBI and analytics workflows. Use when Codex needs to generate a dashboard layout and frontend-ready dashboard JSON from multiple chart recommendations, Query Intent
general
Connect to databases, monitoring systems, analytics platforms, and APIs to fetch, analyze, and report on data. Use when the user says 'query the database', 'check the metrics', 'fetch data from', 'ana
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Hope-native local-first data analysis and Artifact reporting. Use for CSV/XLSX analysis, KPI readouts, metric diagnosis, product/business analysis, data-quality review, dashboards, charts, analytical
engineering
Design and spec an analytical dashboard — define the question each chart answers, write the SQL queries, spec the layout and refresh cadence. Produces a complete dashboard spec ready to implement. Use
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Comprehensive expertise in blockchain data analysis using Dune Analytics, custom indexers, and on-chain data querying. Covers SQL for blockchain, dashboard creation, protocol metrics, and alpha discov
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Professional trading analysis dashboard template (single-file HTML) with light/dark theme switch, dense market panels, chart interactions, demo/live playback, and command palette behavior. Use when us
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Use when you need to choose the right visualization for your data and question, then create a narrated report that highlights insights and recommends actions. Invoke when analyzing data for patterns (
sales
Apache Superset is a widely adopted open-source BI platform for SQL exploration, chart building, and dashboard delivery. This skill is useful when an agent needs to query warehouse data, assemble dash
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Answers natural-language questions about the user's database. Loads the agami semantic model (subject areas, tables, columns, relationships with join cardinality, entities, metrics) and few-shot examp
security
Build effective charts, dashboards, and reports across analytics, infrastructure monitoring, and ML domains. Use for library selection, visualization UX, accessibility, and domain-specific dashboard d
product
Data exploration and analysis partner for Product Managers. Use when the user needs to query databases, analyze metrics, create dashboards, or extract insights from data. Triggers include "query", "an
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Build never-cheap, high-craft web interfaces — brand surfaces (landing pages, brand sites, launches, portfolios, hero pages with real WebGL/Three.js/Canvas/GSAP engines), product UI (dashboards, admin
general
Runs SQL analytics on SageMaker Catalog asset metadata tables exported as Apache Iceberg in S3 Tables. Covers governance queries, asset growth tracking, ownership audits, time-travel over catalog stat
engineering
Build a Visual Data Dictionary — an interactive qsv viz smart dashboard driven by an LLM-inferred JSON Schema data dictionary, with the dictionary browsable beside the charts. Use when the user asks f
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Classical end-to-end empirical analysis workflow in the traditional Python econometric stack — pandas + numpy + scipy + statsmodels + linearmodels + pyfixest + rdrobust + econml + causalml + matplotli
engineering
Create, revise, audit, and export submission-grade scientific figures for Nature-family and other high-impact venues in Python (matplotlib/seaborn) or R (ggplot2/patchwork/ComplexHeatmap), including m
science
Data analysis methodology — how to frame a question, pick the right technique, avoid statistical traps, and connect results to decisions. NOT a tool tutorial (pandas/polars/duckdb live in python-data-
science
Generates Python code using BigQuery DataFrames (BigFrames), the pandas/scikit-learn-style API over BigQuery. Use when writing BigFrames code or doing pandas-style dataframe/ML work against BigQuery (
engineering
Select the right Python charting library (seaborn, matplotlib, graphviz) and produce publication-quality static visualizations. Use when creating charts, plots, graphs, diagrams, heatmaps, visualizati
engineering
csvkit is a suite of Python command-line utilities for converting to, working with, and analyzing CSV files. It includes tools for format conversion, querying CSV with SQL, data cleaning, filtering, s
engineering
A skill for analyzing data using Python (pandas) and generating professional visualizations (matplotlib/seaborn).
engineering
Bulk reads, multi-page iteration, and analytics over Dataverse data via the Python SDK and Web API. Use when the user wants to read, list, filter, aggregate, group, join, or analyze records — includin
engineering
Automatically generate Excel reports from data sources including CSV, databases, or Python data structures. Supports data analysis reports, business reports, data export, and template-based report gen
tools
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