matlab-analyze-data
bymatlab· 88 skills
Analyze data using MATLAB. Use when the task involves tables, timetables, time-series data, numeric arrays, sensor matrices, or gridded data — including but not limited to exploring, filtering, sorting, cleaning, transforming, aggregating, smoothing, padding, trimming, and answering questions about data. MATLAB provides extensive, easy-to-use built-in functions for these workflows with no additional products required.
How to install matlab-analyze-data?
matlab/matlab-agentic-toolkit/matlab-analyze-data
$npx -y skills add matlab/matlab-agentic-toolkit --skill matlab-analyze-dataInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/matlab/matlab-agentic-toolkit" --skill "matlab/matlab-agentic-toolkit/matlab-analyze-data"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/matlab/matlab-agentic-toolkit" that are relevant to the current task. Run `npx skills add "https://github.com/matlab/matlab-agentic-toolkit"` and select the relevant skills, then follow their instructions.
Related
6 picksType
- azure-kustoQuery and analyze data in Azure Data Explorer (Kusto/ADX) using KQL for log analytics, telemetry, and time series analysis.Jul 2026
- analyticsWhen the user wants to set up, improve, or audit analytics tracking and measurement.Jul 2026
- firecrawl-dashboard-reportingPull metrics from analytics dashboards and internal web tools with Firecrawl browser.Jun 2026
- data-storytellingTransform data into compelling narratives using visualization, context, and persuasive structure.Jul 2026
- data-visualizationCreate effective data visualizations with Python (matplotlib, seaborn, plotly).Jul 2026
- extension-oqlMake a canister's data queryable by the Caffeine Data Intelligence agent.Jul 2026
