2 399 data analysis skills from 443 authors. They crunch numbers, pivot tables and turn both into something readable. Half of them fit into 1 951 tokens or less — that is what one costs your context window when the agent loads it. 545 ship runnable scripts rather than instructions alone. 31 of them cannot work without an MCP server, most often rube. We also found 355 copies of these same skills sitting in other people's repositories — counted once here, not 355 times.
2 399 unique 443 authors 1 328 updated this month 230 from vendors
Advanced CSV security report generation with validation, normalization, and comprehensive error handling
Aggregate and validate GitHub API data for metrics calculation with comprehensive error handling.
Robust CSV loading and type coercion patterns for D3.js applications with multiple data sources
Production-ready D3.js bubble chart clustering with optimized force simulation and labeling
Two-way synchronized selection between D3 visualization and HTML table with tooltips and scroll management
Systematic parameter search strategies for GLM calibration with multiple metrics
Generate and validate CSV files with data integrity checks, verification, and comprehensive error handling for reliable data export.
Excel statistical functions for datasets including MIN, MAX, MEDIAN, AVERAGE, QUARTILE, and SUMPRODUCT
Generate structured CSV security audit reports from Trivy JSON vulnerability data with deduplication, proper quoting, and field mapping.
Comprehensive guide for analyzing SEC 13-F quarterly filings data (TSV format) including fund lookup, AUM, holdings comparison, and stock investor analysis.
Using jq to compute statistics from GitHub API JSON responses including counts, averages, grouping, and label filtering.
D3.js v6 force-directed bubble chart with sector clustering, collision avoidance, size mapping, and cross-component interaction.
D3.js data table with exact column headers, formatted market cap, and bidirectional highlight with bubble chart.
Extracting GLM NetCDF output and computing exact RMSE metrics via datetime+depth merge against field observations.
Extract and validate travel data from CSV/TXT databases ensuring city-specific matching and constraint compliance.
GDP-weighted mean and descriptive statistics for net exports as % of GDP in Excel
Generate structured CSV security audit reports from Trivy JSON output with severity filtering, deduplication, and proper field mapping.
How to assemble and write a structured JSON report for GitHub community pulse statistics with validation.
Creating D3.js v6 bubble charts with market cap sizing (scaleSqrt), sector coloring, inside ticker labels, and ETF uniform sizing — with correct tooltip suppression for ETFs.
Building a scrollable D3.js HTML table linked to a bubble chart with bidirectional click-highlight, correct scrollIntoView for overflow containers, and sector color badges.
Exact RMSE metric computation for GLM lake temperature evaluation - verified matching procedure with correct threshold values.
Explore and query travel dataset files (CSV/TXT) to find cities, restaurants, accommodations, attractions, and driving distances — with precise filtering patterns and data field notes.
Count template objects in keyframes using count_objects.py; parse integer from output string and generate a CSV with results per frame.
Calculate GDP-weighted mean of net exports as % of GDP using SUMPRODUCT in Excel, including all supporting statistics (min, max, median, percentiles).
Greedy point matching and calculation of F1 score and average distance (delta).
Reliable CSV generation for security audits with automated field mapping.
Advanced techniques for analyzing complex enterprise product JSON files containing messages, documents, and transcripts.
Robust Python logic for community pulse metrics with substring label matching and precise PR status handling.
Robust JSON-to-CSV parser for Trivy vulnerability reports.
Geospatial data analysis with geopandas for distance calculations, filtering, and modern API usage.
Advanced skills for fetching, filtering, and aggregating GitHub data using `gh` CLI and `jq`.
Implementing force-directed bubble charts with category clustering and tooltips.
Optimized loading and pre-processing of CSV data for D3.js.
Improving interaction between D3 charts and HTML tables with selection events.
This skill covers the process of calibrating GLM by iterating through parameters within allowed bounds and verifying metrics against observations.
Improved data querying skill for finding pet-friendly accommodations and specific restaurant cuisines in a given city.
Improved Excel data analysis and formula manipulation using openpyxl.
How to compute precomputed distance matrices for custom distance metrics in Scikit-Learn DBSCAN.
An advanced guide on generating a fully-featured CSV vulnerability report, featuring explicit filtering, missing data fallbacks, and strict header schemas.
Guide to building a polished D3.js (v6) force-directed bubble chart and a synchronized data table, including integrating secondary data for sparklines.
How to load and filter CSV travel data in Python
Calculating and rounding summary statistics like percentiles in Excel.
Match clustered centroids to expert annotations using greedy nearest-neighbor matching with distance constraints. Compute F1 scores and delta metrics for clustering quality assessment.
Format and write Pareto frontier results to CSV file with proper rounding and column ordering.
Write CSV output with correct field quoting and escaping for special characters, using standard CSV formatting.
Correctly identify and extract Trivy vulnerability JSON field names and map them to the required CSV output columns in exact order.
Confirm that the accession_number retrieved corresponds to the correct quarter and report date before using it for analysis. Use this to prevent analyzing data from the wrong quarter.
Compile gathered PR and issue metrics into a properly formatted JSON file at /app/report.json with the exact required structure and data types.