exploratory-data-analysis
Perform comprehensive exploratory data analysis on scientific data files across 200+ file formats. This skill should be used when analyzing any scientific data…
Find an Agent Skill for your task. Read the guide and copy the install command.
Updated 11-05 00:16
17,418 results
Perform comprehensive exploratory data analysis on scientific data files across 200+ file formats. This skill should be used when analyzing any scientific data…
This skill should be used at the start of any computationally intensive scientific task to detect and report available system resources (CPU cores, GPUs,…
Low-level plotting library for full customization. Use when you need fine-grained control over every plot element, creating novel plot types, or integrating…
Interactive visualization library. Use when you need hover info, zoom, pan, or web-embeddable charts. Best for dashboards, exploratory analysis, and…
Meta-skill for publication-ready figures. Use when creating journal submission figures requiring multi-panel layouts, significance annotations, error bars,…
Machine learning in Python with scikit-learn. Use when working with supervised learning (classification, regression), unsupervised learning (clustering,…
Statistical visualization with pandas integration. Use for quick exploration of distributions, relationships, and categorical comparisons with attractive…
Model interpretability and explainability using SHAP (SHapley Additive exPlanations). Use this skill when explaining machine learning model predictions,…
Create efficient data pipelines with tf.data
View analytics, statistics, and popularity metrics for Confluence content. ALWAYS use when user wants to see views, popularity, or contributor stats.
Manage content properties (custom metadata) on Confluence pages and blog posts. ALWAYS use for custom metadata, key-value data, or application-specific fields.
Mide tus propias cuentas contra su mediana y dice qué está funcionando de verdad
Data visualization with chart selection, color theory, and annotation best practices. Covers chart types (bar, line, scatter, heatmap), axes rules, and…
Data visualization with chart selection, color theory, and annotation best practices. Covers chart types (bar, line, scatter, heatmap), axes rules, and…
Query Polymarket prediction market odds and events via CLI. Search for markets, get current prices, list events by category. Supports sports betting (NFL, NBA,…
Local search/indexing CLI (BM25 + vectors + rerank) with MCP mode.
Query SonarCloud code-quality data via the `/sonarcloud` slash command — the fast in-context lookup for a project, branch, or PR. Handles `issues`, `metrics`,…
Summon Dogdoing (刀盾狗) for deep analysis and help. | Manually summon Dogdoing for deep analysis and help.
Query the GA4 BigQuery export (events_* tables) through a BigQuery MCP server and answer questions from raw event data. Use when asked to run or write SQL…
Comprehensive Google Analytics 4 guide covering property setup, events, custom events, recommended events, custom dimensions, user tracking, audiences,…
Pre-market morning brief — market overview, portfolio status, overnight news. Use before trading session starts.
Data structure for annotated matrices in single-cell analysis. Use when working with .h5ad files or integrating with the scverse ecosystem. This is the data…
Use this skill when working with Brain Imaging Data Structure (BIDS) datasets: organizing neuroscience and biomedical data (MRI, EEG, MEG, iEEG, PET,…
Perform comprehensive exploratory data analysis on scientific data files across 200+ file formats. This skill should be used when analyzing any scientific data…