Data Analysis Claude Skills
2 409 data analysis skills from 443 authors. They crunch numbers, pivot tables and turn both into something readable. Half of them fit into 1 952 tokens or less — that is what one costs your context window when the agent loads it. 549 ship runnable scripts rather than instructions alone. 31 of them cannot work without an MCP server, most often rube. We also found 386 copies of these same skills sitting in other people's repositories — counted once here, not 386 times.
2 409 unique 443 authors 5 updated this month 241 from vendors
Logic to parse nested security database objects into a scalar CVSS score for the final CSV report.
Construct the final CSV output file ensuring strict column compliance with the security audit requirements.
Implements the D3.js force simulation, tooltips, and data interaction logic in visualization.js.
Calculates RMSE between simulated and observed data using exact datetime matching and integer depth binning based on simulation start date 2009-01-01.
Aggregate object counts into a structured CSV file.
HTML/CSS/JS patterns for creating tooltips, conditional interactions based on data attributes, and cross-highlighting elements across different views (like a chart and a table).
Guide for generating technical exploded-view posters using Python (PIL/Pillow). Use this skill when creating engineering diagrams, hardware breakdowns, or product teardowns that require precise layer visualization, annotation leader lines, and technical accuracy. Includes methods for drawing components, layering, annotation, and exporting high-quality images.
Compute F1 score and delta (average distance) metrics for Mars cloud cluster evaluation. Use this skill when evaluating DBSCAN clustering results against expert annotations, including handling edge cases like images with no clusters, no expert points, or no matches.
Identify bug reports by checking if any issue label contains the substring "bug" (case-insensitive matching). Use this skill when categorizing GitHub issues as bugs vs. features, filtering defects, or generating quality/reliability metrics.
Query GitHub API for pull requests and issues within a date range, retrieving all metadata needed for metrics collection. Use this skill whenever you need to fetch GitHub PR or issue data with date filtering, especially when gathering activity reports or computing statistics across a time period.
Aggregate GitHub PR and issue data into structured metrics, including contributor analysis, merge statistics, and bug categorization. Use this skill when compiling activity reports, computing open-source velocity metrics, or generating community pulse summaries.
Calculate average time-to-merge from PR creation to merge timestamps, handling edge cases like unmerged and closed PRs. Use this skill whenever computing PR velocity metrics, measuring merge turnaround, or analyzing PR lifecycle duration.
Synchronize interactions between D3 visualizations and HTML tables, enabling click-to-highlight and hover effects across both elements. Use this skill when you need chart and table elements to stay in sync - clicking a bubble highlights its table row, clicking a row highlights the bubble, and/or hovering shows related data across both. Essential for exploratory dashboards where users need to see data from multiple perspectives simultaneously.
How to create a force-directed bubble chart in D3.js (v6+). Use this skill whenever the user asks to build a bubble chart, cluster bubbles by category, or use d3.forceSimulation to position SVG circles without overlap.
Load, parse, and transform stock market data from CSV files for D3 visualization. Use this skill when working with financial CSV data, handling missing values (ETFs often lack market cap/country data), formatting market capitalization as human-readable strings (1.64T), and preparing data for both visualization and table display. Essential for stock dashboards, portfolio analytics, and financial data pipelines.
Computing RMSE (Root Mean Squared Error) and other metrics for water temperature model validation. Use this skill whenever you need to match simulated temperatures with field observations, compute RMSE by depth categories, calculate annual/seasonal subsets, or prepare model evaluation metrics. Essential for lake model calibration and validation workflows.
Complete workflow for analyzing Super Mario game video frames and generating statistics. Use this skill when you need to extract video frames, process them for analysis, count game objects using template matching, and generate CSV reports of game element statistics.
Define custom distance/similarity metrics for clustering and ML algorithms. Use when working with DBSCAN, sklearn, or scipy distance functions with application-specific metrics.
Perform data analysis on SEC 13-F filing datasets (TSV format) to obtain insights about fund activities such as number of holdings, AUM, and change of holdings between two quarters. Use this skill whenever analyzing hedge fund portfolios, comparing quarterly holdings, or working with SEC EDGAR 13F data files.
> Query GitHub repository activity (PRs, issues) for a date range using the gh CLI. Use this skill whenever you need to fetch pull request or issue data from a GitHub repository, compute statistics like counts, merge times, or identify top contributors. Triggers on tasks involving GitHub activity reports, community pulse summaries, or repository metrics gathering.
> Build structured JSON reports from GitHub repository activity data. Use this skill whenever you need to compile PR and issue statistics into a formatted JSON file for meeting summaries, community pulse reports, or stakeholder updates. Triggers on tasks that require outputting a report.json or similar artifact from GitHub metrics.
> Build interactive data tables with D3.js that are linked to other D3 visualizations. Use this skill when building HTML tables with D3 that need click-to-highlight interaction, interactive table, linked table and chart, click to highlight.
> Extract simulated temperature from GLM NetCDF output and match against field observations for RMSE evaluation. Use this skill when computing RMSE metrics from GLM output.nc files matched against CSV observation data with datetime and depth columns. Covers exact datetime + rounded-depth merging.
Look up travel data from the local CSV/TXT database for cities, restaurants, accommodations, attractions, and distances. Use this skill whenever planning a trip, building an itinerary, or querying travel-related datasets in /app/data/.
> How to calculate weighted means and descriptive statistics (min, max, median, percentiles, simple mean) in Excel formulas via openpyxl. Use this skill whenever the user asks for SUMPRODUCT-based weighted averages, GDP-weighted means, percentile calculations, or descriptive statistics in Excel.
> total counts, bug report identification by label substring matching, and resolved bug counts. Use this skill whenever the user asks about issue metrics, bug counts, triage stats, or community health reports for a GitHub repo.
> How to fetch and analyze pull request data from a GitHub repository for a contributors. Use this skill whenever the user wants PR metrics, pull request summaries, contributor leaderboards, or community pulse reports.
> How to gather GitHub repository statistics (PRs, issues, contributors) using the GitHub REST API via curl and Python. Use this skill whenever the user asks for a community pulse, activity summary, monthly report, or repository metrics for any GitHub repo — even if they don't explicitly mention the API.
> How to build a D3.js v6 force-directed bubble chart with sector clustering, size encoding, color legends, tooltips, and interactive selection. Use this skill whenever the user wants a bubble chart, force simulation, cluster layout, or interactive SVG circles with D3.
> How to build an interactive HTML data table driven by D3.js v6 with sortable columns, row highlighting, cross-component selection, and formatted values. Use this skill when building tabular displays alongside D3 charts, especially when the table needs to stay in sync with chart interactions.
How to run the General Lake Model (GLM3) for lake temperature simulation, calibrate parameters in glm3.nml, read NetCDF output with Python, and compute RMSE metrics against field observations. Use this skill whenever the user mentions GLM, lake temperature simulation, glm3.nml, or wants to calibrate lake model parameters.
Build a structured multi-day travel itinerary JSON from real CSV datasets. Use this skill whenever the user asks to create a travel plan, trip itinerary, or vacation schedule from a local database of cities, restaurants, accommodations, and attractions.
How to calculate weighted means, net export percentages, and statistical summaries (min, max, median, mean, percentiles) in Excel using SUMPRODUCT, ROUND, PERCENTILE, and other functions. Use this skill whenever the user needs GDP-weighted averages, trade statistics as percent of GDP, or descriptive statistics across a cross-section of countries or entities.
Professional methodology for transforming raw repository activity into structured community pulse reports. Use this skill when you need to calculate metrics like merge times, contributor rankings, and bug resolution rates for meeting-ready summaries.
Evaluate GLM simulation results using field observations and RMSE metrics. Use this skill when you need to merge simulation results with field observations and calculate RMSE values for different conditions (overall, annual_deep, summer_deep).
How to generate security audit reports in CSV format. Use this skill whenever you need to produce a `/root/security_audit.csv` report.
How to gather PR and issue data from a GitHub repository using the gh CLI for monthly reports. Use this skill whenever you need to fetch monthly metrics from a repository.
How to process GitHub API JSON output into a structured report.json for monthly analytics. Use this whenever you have raw JSON data from the gh CLI.
Use this skill for D3.js (v6) force-directed bubble charts and linked data tables. Always use this when tasked with financial data visualization using D3.js.
How to calculate and save GLM performance metrics (RMSE) to metrics.json. Use this whenever the user asks for RMSE checks or final model evaluation.
How to query CSV datasets in /app/data to extract information like accommodations, attractions, and restaurants. Use this skill whenever you need to look up data from files in the /app/data directory.
Define custom distance metrics for DBSCAN clustering. Use this skill whenever a task requires clustering points with unequal weighting or application-specific distances.
Compute the Pareto frontier for multi-objective optimization. Use this skill whenever a task requires finding optimal trade-offs between conflicting metrics (e.g., maximize F1, minimize distance).
Perform various data analysis on SEC 13-F and obtain some insights of fund activities such as number of holdings, AUM, and change of holdings between two quarters.
How to calculate GitHub community pulse metrics using the `gh` CLI. Use this skill whenever the user asks for pull request metrics, issue metrics, community pulse, average merge times, top contributors, or bug reports over a specific timeframe.
How to implement cross-highlighting between D3.js visualizations and HTML Data Tables. Use this skill whenever the user wants to connect a chart (like a bubble chart or scatter plot) with an HTML table, so clicking or hovering one updates the other.