Data & Analytics

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When the user wants to plan, design, or implement an A/B test or experiment. Also use when the user mentions "A/B test," "split test," "experiment," "test this change," "variant copy," "multivariate test," or "hypothesis." For tracking implementation, see analytics-tracking.

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When the user wants to analyze their own app's actual performance data from App Store Connect — real downloads, revenue, IAP, subscriptions, trials, or country breakdowns synced via Appeeky Connect. Use when the user asks about "my downloads", "my revenue", "how is my app performing", "ASC data", "sales and trends", "my subscription numbers", "App Store Connect metrics", or wants to compare periods or top markets. For third-party app estimates, see app-analytics. For subscription analytics depth, see monetization-strategy.

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Adds new columns to your spreadsheet by generating information for each row

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When the user wants to set up, interpret, or improve their app analytics and tracking. Also use when the user mentions "analytics", "tracking", "metrics", "KPIs", "App Store Connect analytics", "install tracking", "funnel", "attribution", or "how is my app performing". For A/B testing, see ab-test-store-listing. For retention metrics, see retention-optimization.

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Distributed computing for larger-than-RAM pandas/NumPy workflows. Use when you need to scale existing pandas/NumPy code beyond memory or across clusters. Best for parallel file processing, distributed ML, integration with existing pandas code. For out-of-core analytics on single machine use vaex; for in-memory speed use polars.

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Expert database architect specializing in data layer design from scratch, technology selection, schema modeling, and scalable database architectures. Masters SQL/NoSQL/TimeSeries database selection, normalization strategies, migration planning, and performance-first design. Handles both greenfield architectures and re-architecture of existing systems. Use PROACTIVELY for database architecture, technology selection, or data modeling decisions.

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Execute read-only SQL queries against multiple Microsoft SQL Server databases. Use when: (1) querying MSSQL/SQL Server databases, (2) exploring database schemas/tables, (3) running SELECT queries for data analysis, (4) checking database contents. Supports multiple database connections with descriptions for intelligent auto-selection. Blocks all write operations (INSERT, UPDATE, DELETE, DROP, etc.) for safety.

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Execute read-only SQL queries against multiple MySQL databases. Use when: (1) querying MySQL databases, (2) exploring database schemas/tables, (3) running SELECT queries for data analysis, (4) checking database contents. Supports multiple database connections with descriptions for intelligent auto-selection. Blocks all write operations (INSERT, UPDATE, DELETE, DROP, etc.) for safety.

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Zero-shot time series forecasting with Google's TimesFM foundation model. Use this skill when forecasting ANY univariate time series — sales, sensor readings, stock prices, energy demand, patient vitals, weather, or scientific measurements — without training a custom model. Automatically checks system RAM/GPU before loading the model, supports CSV/DataFrame/array inputs, and returns point forecasts with calibrated prediction intervals. Includes a preflight system checker script that MUST be run before first use to verify the machine can load the model. For classical statistical time series models (ARIMA, SARIMAX, VAR) use statsmodels; for time series classification/clustering use aeon.

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When the user wants to monitor, triage, or reduce their app's crash rate — including setting up Crashlytics, prioritizing which crashes to fix first, interpreting crash data, and understanding how crashes affect App Store ranking. Use when the user mentions "crash", "crashlytics", "crash rate", "ANR", "app not responding", "crash-free sessions", "crash-free users", "symbolication", "stability", "firebase crashes", "app crashing", or "crash report". For overall analytics setup, see app-analytics.

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Parse FCS (Flow Cytometry Standard) files v2.0-3.1. Extract events as NumPy arrays, read metadata/channels, convert to CSV/DataFrame, for flow cytometry data preprocessing.

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Fast in-memory DataFrame library for datasets that fit in RAM. Use when pandas is too slow but data still fits in memory. Lazy evaluation, parallel execution, Apache Arrow backend. Best for 1-100GB datasets, ETL pipelines, faster pandas replacement. For larger-than-RAM data use dask or vaex.

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Reconcile the project's FPF state with recent repository changes

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Execute read-only SQL queries against multiple PostgreSQL databases. Use when: (1) querying PostgreSQL databases, (2) exploring database schemas/tables, (3) running SELECT queries for data analysis, (4) checking database contents. Supports multiple database connections with descriptions for intelligent auto-selection. Blocks all write operations (INSERT, UPDATE, DELETE, DROP, etc.) for safety.

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Scalable data processing for ML workloads. Streaming execution across CPU/GPU, supports Parquet/CSV/JSON/images. Integrates with Ray Train, PyTorch, TensorFlow. Scales from single machine to 100s of nodes. Use for batch inference, data preprocessing, multi-modal data loading, or distributed ETL pipelines.

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Provision instant temporary Postgres databases via Claimable Postgres by Neon (neon.new) with no login, signup, or credit card. Supports REST API, CLI, and SDK. Use when users ask for a quick Postgres environment, a throwaway DATABASE_URL for prototyping/tests, or "just give me a DB now". Triggers include: "quick postgres", "temporary postgres", "no signup database", "no credit card database", "instant DATABASE_URL", "npx neon-new", "neon.new", "neon.new API", "claimable postgres API".

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Analyzes complex SQL queries to improve performance, suggesting indexing strategies, schema refactoring, and query rewrites.

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Use this skill for Hugging Face Dataset Viewer API workflows that fetch subset/split metadata, paginate rows, search text, apply filters, download parquet URLs, and read size or statistics.

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Expert guidance on using PostgreSQL with Swift. Use when developers mention: (1) PostgreSQL or Postgres in Swift, (2) postgres-nio library, (3) SQL queries in Swift, (4) PostgreSQL connection pooling, (5) prepared statements, (6) type-safe database access, (7) bulk loading or COPY FROM, (8) PostgresClient or PostgresConnection.

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Generate professional clinical decision support (CDS) documents for pharmaceutical and clinical research settings, including patient cohort analyses (biomarker-stratified with outcomes) and treatment recommendation reports (evidence-based guidelines with decision algorithms). Supports GRADE evidence grading, statistical analysis (hazard ratios, survival curves, waterfall plots), biomarker integration, and regulatory compliance. Outputs publication-ready LaTeX/PDF format optimized for drug development, clinical research, and evidence synthesis.

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Use this agent when you need to develop quantitative trading strategies, build financial models with rigorous mathematical foundations, or conduct advanced risk analytics for derivatives and portfo...

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Expert-level application security. Use when identifying security vulnerabilities, implementing input validation, preventing XSS/CSRF/SQLi/SSRF, securing APIs, implementing secure coding practices, or performing threat modeling. Also use when the user mentions 'OWASP', 'XSS', 'CSRF', 'SQL injection', 'security vulnerability', 'threat model', 'penetration testing', 'CVE', or 'security audit'.

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Complete Ryot media tracker with progress tracking, reviews, collections, analytics, calendar, and automated.

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Expert-level PostgreSQL. Use when writing complex SQL queries, designing schemas, working with indexes, CTEs, window functions, JSONB, full-text search, stored procedures, performance tuning, or pg extensions. Also use when the user mentions 'slow query', 'EXPLAIN', 'index', 'migration', 'schema design', 'normalization', 'JOIN', 'window function', 'CTE', or 'JSONB'.

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Admin skill to sign into Cosmonyx, fetch companies, filter/export (PDF or Excel), optionally email the export.

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Real-time crypto market data, wallet portfolio tracking, and token analytics across 88+ blockchains.

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PostHog analytics, event tracking, feature flags, dashboards

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Manage FoxReach cold email outreach — leads, campaigns, sequences, templates, email accounts, inbox, and analytics.

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Expert-level SQL for analytics and business intelligence. Use when writing complex analytical SQL, window functions, CTEs, cohort analysis, funnel queries, time-series analysis, or working with BI tools (Looker, Metabase, Superset). Also use when the user mentions 'window function', 'cohort analysis', 'funnel query', 'ROLLUP', 'CUBE', 'retention', 'analytics SQL', 'time series', or 'sessionization'.

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Revolut Business API CLI — accounts, balances, transactions, counterparties, payments, FX exchange, CSV export.

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CLI for Clover POS API — inventory, orders, payments, customers, employees, discounts, and analytics.

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SQL database migrations with zero-downtime strategies for PostgreSQL, MySQL, SQL Server

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Expert database schema design and architecture. Use when designing relational or document schemas, normalization, ER diagrams, choosing between SQL and NoSQL, handling many-to-many relations, or optimizing data models. Also use when the user mentions 'schema design', 'normalization', 'ER diagram', 'foreign key', 'many-to-many', 'data model', 'database architecture', 'table design', or 'NoSQL vs SQL'.

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Generate secure SQL queries with validation, pagination helpers, risk analysis, and audit-focused safeguards.

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Expert-level financial modeling and valuation. Use when building financial models, LBO models, DCF models, merger models, three-statement models, scenario analysis, sensitivity tables, or forecasting financial statements. Also use when the user mentions 'financial model', 'LBO', 'merger model', 'DCF', 'three statement model', 'sensitivity analysis', 'scenario analysis', 'Excel model', 'forecast', 'assumptions', 'waterfall', or 'returns analysis'.

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Benchling R&D platform integration. Access registry (DNA, proteins), inventory, ELN entries, workflows via API, build Benchling Apps, query Data Warehouse, for lab data management automation.