Discover and use data skills to extend Claude's capabilities
665 Data Skills Available
Log, metric, and trace analysis methodology. Use when analyzing logs, investigating errors, querying metrics, or correlating signals across observability backends (Coralogix, Datadog, CloudWatch).
Coralogix log analysis with DataPrime query language. Use when querying Coralogix logs, metrics, or traces. Provides syntax reference and intelligent investigation scripts.
Clean and transform messy data in Stata with reproducible workflows
Panel data analysis with Python using linearmodels and pandas.
Transform data into compelling narratives using visualization, context, and persuasive structure. Use when presenting analytics to stakeholders, creating data reports, or building executive presentations.
Use when visualizing architecture, data flows, or system diagrams in text. Creates ASCII visualizer diagrams for plans, workflows, and structures.
Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When Claude needs to work with spreadsheets (.xlsx, .xlsm, .csv, .tsv, etc) for: (1) Creating new spreadsheets with formulas and formatting, (2) Reading or analyzing data, (3) Modify existing spreadsheets while preserving formulas, (4) Data analysis and visualization in spreadsheets, or (5) Recalculating formulas
Statistical analysis, outlier detection, and data transformation utilities.
Analyze sales data with statistics, regional performance, and commission calculations
Data format specialist covering TOON encoding, JSON/YAML optimization, serialization patterns, and data validation for modern applications. Use when optimizing data for LLM transmission, implementing high-performance serialization, validating data schemas, or converting between data formats.
Creates and edits Excel spreadsheets with formulas, formatting, and financial modeling standards. Use when working with .xlsx files, financial models, data analysis, or formula-heavy spreadsheets. Covers formula recalculation, color coding standards, and common pitfalls.
Visualize datasets in 2D using embeddings with UMAP or t-SNE dimensionality reduction. Use when users want to explore dataset structure, find clusters in images, identify outliers, color samples by class or metadata, or understand data distribution. Requires FiftyOne MCP server with @voxel51/brain plugin installed.
This skill should be used when the user asks to "export matrix data", "backup matrix", "export solutions", "export failures", "export warnings", or needs to export Matrix memory to a portable format.
Process and analyze CSV, JSON, and text files with data transformation, cleaning, analysis, and visualization capabilities
Audit local analytics for bot traffic, referrer spam, and data quality. Use when investigating discrepancies between Fathom and local stats.
Data analysis, SQL queries, BigQuery operations, and data insights. Use for data analysis tasks and queries.
Synthesize findings from multiple research sources into coherent insights. Use when combining data from different sub-agents or research threads.
自动化数据探索和可视化工具,提供从数据加载到专业报告生成的完整EDA解决方案。支持多种图表类型、智能数据诊断、建模评估和HTML报告生成。适用于医疗、金融、电商等领域的数据分析项目。
Analyze user conversion funnels, calculate step-by-step conversion rates, create interactive visualizations, and identify optimization opportunities. Use when working with multi-step user journey data, conversion analysis, or when user mentions funnels, conversion rates, or user flow analysis.
Perform RFM (Recency, Frequency, Monetary) customer segmentation analysis on e-commerce data. Use when you need to analyze customer value, identify VIP customers, or create marketing segments. Automatically cleans data, calculates RFM metrics, applies K-means clustering, and generates visualization reports with Chinese language support.
Synthesize audience insights from multiple data sources into unified personas and segments. Use when relevant to the task.
Facilitate data-driven technical decisions using embedded decision matrices and trade-off analysis. Use when relevant to the task.
Generate safe, read-only PostgreSQL queries from natural language. Use when users need to query blog_small, ecommerce_medium, or saas_crm_large databases. Supports query generation, execution, and result analysis with confidence scoring.
Discover patterns, distributions, and relationships in data through visualization, summary statistics, and hypothesis generation for exploratory data analysis, data profiling, and initial insights
Create effective visualizations using matplotlib and seaborn for exploratory analysis, presenting insights, and communicating findings with business stakeholders
Identify groups and patterns in data using k-means, hierarchical clustering, and DBSCAN for cluster discovery, customer segmentation, and unsupervised learning
Analyze time-to-event data, calculate survival probabilities, and compare groups using Kaplan-Meier and Cox proportional hazards models
This skill provides guidance for analyzing log files across date ranges and producing summary statistics. Use when tasks involve parsing log files, counting log entries by severity (ERROR, WARNING, INFO), aggregating by date ranges (today, last N days, month-to-date), or producing CSV reports from log data.
This skill provides guidance for merging data from multiple heterogeneous sources (CSV, JSON, Parquet, XML, etc.) into unified output formats with conflict detection and resolution. Use when tasks involve combining data from different file formats, field mapping between schemas, priority-based conflict resolution, or generating merged datasets with conflict reports.
Analyze CSV and tabular data, create summaries, and generate insights
Use when interpreting company-level enrichment data to segment accounts, spot buying triggers, and tailor outreach.
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 generation using pandas and openpyxl. Activate when users mention Excel, spreadsheet, report generation, data export, or business reporting.
Generate well-formatted markdown tables from data with proper alignment and spacing. Use for report statistics, comparison tables, or summary data presentation.
Debug database performance issues through query analysis, index optimization, and execution plan review. Identify and fix slow queries.
Monitor database performance and health. Use when setting up monitoring, analyzing metrics, or troubleshooting database issues.
Create professional Grafana dashboards with visualizations, templating, and alerts. Use when building monitoring dashboards, creating data visualizations, or setting up operational insights.