Plugins
1 pluginResults for “data-science”
18 skillsShared Git Data
Sets up Git-based version control for data science projects, handling notebooks, datasets, and pipelines with DVC and nbstripout.
0
Applied Big Data Design
Performs design operations in the big-data domain, including hypothesis testing, statistical analysis, and data visualization using ML frameworks.
1 · bundle
More results
Data Scientist
Expert data scientist for advanced analytics, machine learning, and statistical modeling. Handles complex data analysis, predictive modeling, and business intelligence.
7
Data Analyst
Guides data analysis, EDA, and ML tasks by teaching, diagnosing MCPs, and deciding with the user, offering multiple options and documenting decisions.
0
Big Data
Designs and implements big data architectures, processes large-scale datasets with distributed systems, and optimizes data pipelines for throughput using Hadoop, Spark, and cloud platforms.
1
Data Workflow
Use this skill for any data or analytics task — querying databases, analyzing metrics, exploring data warehouses, processing datasets, or creating visualizations.
0
Data Analyst
Use this skill to write and run SQL queries, pull data, build metrics, or answer analytical questions. Always use this skill when you need to query data.
0
Data Analysis
Analiza datasets con Pandas y NumPy: explora distribuciones, correlaciones y patrones, y aplica tests de hipótesis para extraer conocimiento no obvio.
0 · bundle
Data Analysis
Analyze datasets to answer defined questions through statistical methods, trend identification, hypothesis testing, and correlation analysis. Use when the user needs evidence-backed findings or decisions from data; use exploratory-data-analysis instead for open-ended first-pass profiling before questions are defined.
159
Data Analyst
Use this skill to write and run SQL queries, pull data, build metrics, or answer analytical questions. Always use this skill when you need to query data.
0
Data Workflow
Use this skill for any data or analytics task — querying databases, analyzing metrics, exploring data warehouses, processing datasets, or creating visualizations.
0
Exploratory Data Analysis
Automatically detect and analyze scientific data files across 200+ formats, generating detailed markdown reports with quality metrics and analysis recommendations.
30.2k · bundle
Data Analyst
Data analysis best practices with pandas, numpy, matplotlib, seaborn, and Jupyter notebooks.
7
Data Storytelling
Transform data into compelling narratives using visualization, context, and persuasive structure. Use when presenting analytics to stakeholders, creating data reports, or building executive presentations.
23
Data Visualization
Design clear, accessible data visualizations with appropriate chart selection and styling.
1.7k
Data Report
Converts CSV, Excel, or JSON data into a polished, interactive visual report page with KPI cards, charts, data tables, and insights.
· bundle
Pymatgen
Analyze and manipulate crystal structures, compute phase diagrams, and access the Materials Project database using the pymatgen library.
30.2k · bundle
Benchling Integration
Integrate with Benchling's Python SDK and REST API to manage registry entities, inventory, ELN entries, workflows, and Data Warehouse queries for life sciences R&D automation.
30.2k · bundle