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
> 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.
How to filter tabular datasets. Use this skill whenever you need to process or filter CSV files, tabular data, or databases to find records that match specific criteria such as location, price, category, or flags (like pet-friendly).
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.
Build deterministic, verifiable data visualizations with D3.js (v6). Generate standalone HTML/SVG (and optional PNG) from local data files without external network dependencies. Use when tasks require charts, plots, axes/scales, legends, tooltips, or data-driven SVG output.
Output-processing guidance for GLM tasks. Especially useful after glm-basics and glm-calibration when you need verifier-matching metrics from output.nc and a final /root/metrics.json.
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
원본 재무 데이터(엑셀·은행 CSV·카드 내역 CSV·영수증 이미지·세금계산서 PDF·카드명세서 PDF)를 표준 거래내역 13개 필드로 변환하는 스킬. PaddleOCR 로컬 처리로 영수증·세금계산서·카드명세서에서 거래 자동 추출, Level 2 민감정보 마스킹 적용.
세무용 재무제표(재무상태표·손익계산서) 자동 생성 스킬. 국세청 표준계정과목 매핑, 일반기업회계기준(K-GAAP) 간소화 버전. 분류 완료된 거래내역을 기간 지정해 BS·PL로 집계하고 JSON·CSV 파일로 출력.
한국 스타트업·1인 법인 대표·프리랜서·개인사업자를 위한 장부 자동 생성 진입점 스킬. 호출 시 5개 하위 스킬(jangbu-import·jangbu-tag·jangbu-tax·jangbu-dash·jangbu-jongso)을 번호·문자 메뉴로 제시하고, 입력 즉시 해당 스킬 인터뷰로 직행한다. 엑셀·5대 은행 CSV·7대 카드사 명세서 PDF·영수증·세금계산서 지원, macOS Vision/PaddleOCR 로컬 처리, Level 2 민감정보 마스킹.
>- **WORKFLOW SKILL** — Manage Aspire AppHost lifecycle and recover from file locks, "aspire stop", "aspire wait", "restart the API service", "file lock error", "MSB3491", "CS2012", "port already in use", "upgrade Aspire CLI", "aspire update --self", "proxies missing in aspire ps", "--include-hidden", "aspire integration list", (start, stop, wait, ps, resource, integration, add, init, doctor, update, restore). logs / traces / metrics / dashboard run (use aspire-monitoring), AppHost code edits or resource wiring (use aspireify).
Generate genuinely beautiful, on-brand UI instead of generic "AI slop" — use whenever the user asks to build, design, style, or improve a UI, landing page, dashboard, app screen, or component, whenever a PRD/spec needs a design pass before implementation, whenever the user pastes reference images/Pinterest/Dribbble links and wants the app to look like them, or whenever the user complains the AI-generated UI looks generic, boring, cookie-cutter, or "like every other AI app." Make sure to trigger this even if the user doesn't say "design" explicitly — phrases like "make this look good", "build the frontend for X", "this looks like every other SaaS site", or "match this vibe" all qualify. Also triggers on two verbs, "study"/"extract the look of" a reference screenshot or URL, and "audit"/"review"/"why does this look AI-generated" for critiquing existing UI.
Read and normalize GA4 properties, metadata, standard reports, and realtime reports through any compatible Runx connector, preserving the measurement caveats an operator needs before turning analytics into action.
Operate a Nitrosend account through one governed Runx skill: inspect readiness and analytics, plan and apply campaign/flow/template/segment drafts, import consented contacts through inline or bulk CSV paths, and approve or deliver campaign, flow, and transactional email operations with provider readback.
Operate a project, workspace, or account from an agent or manager dashboard: inspect state, triage risks, prepare governed actions, route to the right skill lane, require approvals for consequential acts, and verify receipts after execution.
Search API configuration, boosting strategies, and processor patterns for Drupal. Covers index configuration, field types, custom boost processors, number field boosting, engagement metrics, and reindexing workflows.
When the user wants to define GTM metrics, build a metrics dashboard, measure pipeline efficiency, or track AI product performance. Also use when the user mentions 'GTM metrics,' 'revenue latency,' 'pipeline metrics,' 'TTFV,' 'time-to-first-value,' 'data health,' 'attribution,' 'conversion rate,' 'CAC,' 'LTV,' 'NRR,' 'GTM dashboard,' 'magic number,' 'pipeline velocity,' or 'funnel metrics.' This skill covers GTM measurement from metric selection through dashboard design, including AI-specific cost metrics, attribution models, and weekly review cadences.
Create 3D scenes, interactive experiences, and visual effects using Three.js. Use when user requests 3D graphics, WebGL experiences, 3D visualizations, animations, or interactive 3D elements.
Creating interactive data visualisations using d3.js. This skill should be used when creating custom charts, graphs, network diagrams, geographic visualisations, or any complex SVG-based data visua...
Diagnose and fix retention problems using behavior design (B=MAP). Use when the user mentions "users drop off", "activation rate", "onboarding friction", "retention metrics", or "why users don''t complete". Covers the Ability Chain, prompt design, and tiny behaviors that compound. For habit loops and variable rewards, see hooked-ux. For intrinsic motivation, see drive-motivation.
Implement the Entrepreneurial Operating System (EOS) to align vision and execution across a company. Use when the user mentions "EOS", "V/TO", "quarterly rocks", "Level 10 meetings", "accountability chart", or "IDS process". Covers the six EOS components: Vision, People, Data, Issues, Process, Traction. For team motivation design, see drive-motivation. For lean experimentation, see lean-startup.
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, ....
Automate Datadog tasks via Rube MCP (Composio): query metrics, search logs, manage monitors/dashboards, create events and downtimes. Always search tools first for current schemas.