Data & Analytics

cline-skills Skill

Read project data documentation (data dictionaries, dbt manifests, model docs, column descriptions, lineage, metric definitions) before writing analytics SQL. Use for mapping business and product terms to concrete models and columns.

cline-skills Skill

Save, organize, and describe reusable analysis artifacts such as SQL, result snapshots, CSV exports, summaries, caveats, plots, and report-ready files. Use when users ask to save, export, share, cite, reproduce, or organize data-analysis outputs.

andrelandgraf Skill

Track custom events and conversions with Vercel Web Analytics via the track() call. Use when instrumenting user actions, conversions, or form submissions.

letta-ai Bundle

Use when tasks involve creating, editing, analyzing, or formatting spreadsheets (`.xlsx`, `.csv`, `.tsv`) with formula-aware workflows, cached recalculation, and visual review.

codewithmukesh Skill

Entity Framework Core patterns for .NET 10. Covers DbContext configuration, migrations workflow, interceptors, compiled queries, ExecuteUpdateAsync, ExecuteDeleteAsync, value converters, and query optimization. Load this skill when working with databases, writing queries, managing schema changes, or when the user mentions "EF Core", "Entity Framework", "DbContext", "migration", "LINQ query", "database", "SQL", "N+1", "Include", "split query", "value converter", "interceptor", or "compiled query".

backnotprop-pstack Bundle

Use for 'why does X work this way', 'why we picked Y', design rationale, regressions, postmortems, or data-backed thresholds. Discovers available MCPs and queries each evidence category (source control, issue tracker, long-form docs, real-time chat, infrastructure observability, error tracking, product analytics warehouse) in parallel, then returns a cited read on decisions and tradeoffs. Use how for runtime behavior.

ncklrs Bundle

Expert product analytics strategist for SaaS and digital products. Use when designing product metrics frameworks, funnel analysis, cohort retention, feature adoption tracking, A/B testing, experimentation design, data instrumentation, or product dashboards. Covers AARRR, HEART, behavioral analytics, and impact measurement.

ncklrs Bundle

Expert customer health scoring and analytics guidance. Use when designing health scores, building churn prediction models, analyzing usage metrics, identifying at-risk accounts, creating executive dashboards, or performing cohort analysis. Use for leading indicator development, customer data enrichment, risk escalation frameworks, and retention analytics.

steipete-agent-scripts Skill

Notion archive: desktop/API sync, Markdown export, page search, read-only SQL.

idanbeck Bundle

Read and write Google Sheets. Use when the user asks to read spreadsheet data, update cells, create sheets, or work with Google Sheets.

patternsdev Skill

Teaches strategies for mitigating third-party script performance impact. Use when third-party scripts like analytics, ads, or widgets are degrading your page load times or Core Web Vitals.

windmill-labs Bundle

How to safely update SQLx offline query cache. MUST use when SQL queries change.

windmill-labs Skill

MUST use when writing MS SQL Server queries.

okx-plugin-store Bundle

Birdeye DeFi analytics with dual live access mode (apikey full coverage, x402 supported subset).

pixel-process-ug Skill

Use when the user needs Excel file manipulation — reading, writing, formulas, charts, conditional formatting, data validation, pivot tables, or large file handling. Trigger conditions: create Excel reports programmatically, read spreadsheet data, add formulas or charts, apply conditional formatting, perform data validation, generate pivot tables, handle CSV import/export, process large datasets in Excel format.

pixel-process-ug Skill

Use when designing database schemas, creating migrations, modeling data relationships, optimizing database queries, adding indexes, or selecting between SQL and NoSQL storage

agiprolabs Bundle

Technical analysis with 130+ indicators using pandas-ta for crypto market data

agiprolabs Bundle

Free DeFi analytics across all chains — TVL, token prices, DEX volumes, fees/revenue, stablecoins, and bridges

agiprolabs Bundle

Solana token data, PnL, risk scores, 1-second OHLCV, wallet analytics, and self-hosted swap execution via Raptor

tondevrel Skill

A flexible library for parallel computing in Python. It scales Python libraries like NumPy, pandas, and scikit-learn to multi-core systems or distributed clusters. Features lazy evaluation and task scheduling for data that exceeds RAM capacity. Use for out-of-core computing, parallel processing, distributed computing, large-scale data analysis, dask.array, dask.dataframe, dask.delayed, dask.bag, task scheduling, lazy evaluation, and scaling beyond memory limits.

tondevrel Skill

A fast, extensible progress bar for Python and CLI. Instantly makes your loops show a smart progress meter with ETA, iterations per second, and customizable statistics. Minimal overhead. Use for monitoring long-running loops, simulations, data processing, ML training, file downloads, I/O operations, command-line tools, pandas operations, parallel tasks, and nested progress bars.

tondevrel Skill

Comprehensive guide for NumPy - the fundamental package for scientific computing in Python. Use for array operations, linear algebra, random number generation, Fourier transforms, mathematical functions, and high-performance numerical computing. Foundation for SciPy, pandas, scikit-learn, and all scientific Python.

tondevrel Skill

An analytical in-process SQL database management system. Designed for fast analytical queries (OLAP). Highly interoperable with Python's data ecosystem (Pandas, NumPy, Arrow, Polars). Supports querying files (CSV, Parquet, JSON) directly without an ingestion step. Use for complex SQL queries on Pandas/Polars data, querying large Parquet/CSV files directly, joining data from different sources, analytical pipelines, local datasets too big for Excel, intermediate data storage and feature engineering for ML.

tondevrel Skill

Blazingly fast DataFrame library written in Rust. Features a multi-threaded query engine, lazy evaluation, and efficient memory usage via Apache Arrow. Designed for high-performance data processing on a single machine. Use for large datasets (1GB-100GB+), fast data transformations, Parquet/CSV processing, complex query pipelines, memory-efficient operations, and when speed is critical (10-100x faster than pandas).

tondevrel Skill

A Python data visualization library based on matplotlib. It provides a high-level interface for drawing attractive and informative statistical graphics. Great for exploring relationships between variables and visualizing distributions. Use for statistical data visualization, exploratory data analysis (EDA), relationship plots, distribution plots, categorical comparisons, regression visualization, heatmaps, cluster maps, and creating publication-quality statistical graphics from Pandas DataFrames.

tondevrel Skill

Open source project to make working with geospatial data in python easier. Extends the datatypes used by pandas to allow spatial operations on geometric types. Built on top of Shapely, Fiona, and Pyproj. Use for reading and writing spatial formats (Shapefile, GeoJSON, GeoPackage, KML), performing spatial joins, coordinate system transformations (reprojecting), geometric analysis (buffers, centroids, convex hulls), thematic mapping (Choropleth maps), calculating spatial relationships (contains, overlaps, touches, within), working with OpenStreetMap data or satellite-derived vector data.

tondevrel Skill

The foundational library for creating static, animated, and interactive visualizations in Python. Highly customizable and the industry standard for publication-quality figures. Use for 2D plotting, scientific data visualization, heatmaps, contours, vector fields, multi-panel figures, LaTeX-formatted plots, custom visualization tools, and plotting from NumPy arrays or Pandas DataFrames.

tondevrel Skill

Industry-standard gradient boosting libraries for tabular data and structured datasets. XGBoost and LightGBM excel at classification and regression tasks on tables, CSVs, and databases. Use when working with tabular machine learning, gradient boosting trees, Kaggle competitions, feature importance analysis, hyperparameter tuning, or when you need state-of-the-art performance on structured data.

tondevrel Skill

Advanced sub-skill for pandas focused on memory optimization, execution speed, and handling large-scale datasets (10M+ rows). Covers low-level dtypes, efficient indexing, and vectorization of complex logic.

openclaudia Skill

Pull GA4 reports, traffic data, and insights from the Google Analytics Data API. Use when asked about website traffic, user behavior, acquisition channels, conversions, or audience segments. Trigger phrases: "google analytics", "GA4", "traffic report", "analytics data", "user acquisition", "engagement metrics", "conversion tracking", "audience segments", "page views", "sessions".

openhands Bundle

Upgrade Apache Spark applications between major versions (2.x→3.x, 3.x→4.x). Covers build files, deprecated APIs, configuration changes, SQL/DataFrame updates, and test validation.

sammcj Skill

Provides fast document to markdown extraction. Use this skill when the user asks to parse, perform multi-format document conversion or spatially extract text from an unstructured file (PDF, DOCX, PPTX, XLSX, images, etc.) locally.

qodex-ai Bundle

Process and manipulate spreadsheet documents. Creates, edits, analyzes, and transforms Excel files with formula and formatting support.

101-skills Skill

Execute Python code in a safe sandboxed environment via [inference.sh](https://inference.sh). Pre-installed: NumPy, Pandas, Matplotlib, requests, BeautifulSoup, Selenium, Playwright, MoviePy, Pillow, OpenCV, trimesh, and 100+ more libraries. Use for: data processing, web scraping, image manipulation, video creation, 3D model processing, PDF generation, API calls, automation scripts. Triggers: python, execute code, run script, web scraping, data analysis, image processing, video editing, 3D models, automation, pandas, matplotlib

joellewis Bundle

Build and manage advisory fee billing operations from fee schedule design through calculation, collection, revenue recognition, and compliance disclosure. Use when the user asks about tiered or breakpoint fee schedules, billing cycle configuration, AUM valuation for billing, direct-debit vs invoice collection, GAAP revenue recognition for fees, ADV Part 2A or Reg BI fee disclosure, diagnosing billing exceptions or refunds, migrating from spreadsheet billing to automated systems, or forecasting advisory revenue. Also trigger when users mention 'fee calculation', 'billing engine', 'effective fee rate', 'household billing aggregation', 'mid-period adjustment', 'billing in advance vs arrears', 'fee compression', or 'ERISA 408(b)(2)'.

joellewis Bundle

Design human-in-the-loop workflow orchestration for securities operations: task routing, approval chains, and SLA monitoring. Use when building multi-level approval chains with dollar thresholds and delegation of authority, enforcing four-eyes (maker-checker) controls, defining escalation rules for aging work items approaching SLA breach, designing human-in-the-loop gates, selecting a workflow engine or BPM platform (Camunda, Pega, ServiceNow), modeling a process as a state machine, adding audit trails for SEC Rule 17a-3/17a-4 or FINRA supervisory obligations, or migrating from email-and-spreadsheet tracking. For zero-touch automation rates and STP measurement, see stp-automation.