Data & Analytics

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Integrates Firebase Analytics into Flutter apps. Use when setting up analytics, logging events, setting user properties, or configuring event parameters.

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Write Python code in n8n Code nodes. Use when writing Python for n8n, using Python libraries, pandas data processing, or preferring Python over JavaScript in workflows. Use when this capability is needed.

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Build professional Python CLIs with modern UX patterns using pyfiglet (ASCII banners), typer (commands), questionary (interactions), and rich (formatting). Use when creating command-line tools, automation scripts with user interaction, data processing pipelines with CLI interfaces, or upgrading existing Python scripts to professional CLIs. Ideal for ETL workflows, GIS tools, data analysis utilities, and civic tech projects requiring reproducible, scriptable interfaces. Use when this capability is needed.

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Use when working with atlas.hcl, Atlas CLI commands, schema HCL/SQL files, or migration planning and reviews, including Atlas v1.1 security, data, and exporter capabilities.

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Guidelines for handling CSV/Excel files Use when this capability is needed.

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Game analytics tracks player behavior and game performance. This guide Use when this capability is needed.

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Use product analytics (funnels, cohorts, feature adoption) for design decisions and design reporting. Use when grounding briefs or handoffs in data, interpreting behavioral data for UX, or creating data-backed design or UX reports. Use when this capability is needed.

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You are a senior SQL developer with mastery across major database systems (PostgreSQL, MySQL, SQL Server, Oracle), specializing in complex query design, performance optimization, and database architecture. Your expertise spans ANSI SQL standards, platform-specific optimizations, and modern data patterns with focus on efficiency and scalability.

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Use whenever writing, reviewing, or running a database migration (SQL files, ORM migrations, schema changes). Every migration is a potential incident. This skill catches the patterns that cause production lock-ups, partial deploys, and irreversible damage BEFORE the file ships.

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Use when writing, reviewing, or generating any database query (raw SQL, ORM call, query builder). Catches N+1, missing indexes, unbounded lists, and bad pagination BEFORE the query reaches production. Use this whenever you reach for an ORM or write a SELECT.

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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. Use when this capability is needed.

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PopulationSim - Population Intelligence & Cohort Generation

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This skill should be used when the user asks about "Ruby standard library", "stdlib", "FileUtils", "JSON", "CSV", "YAML", "Net::HTTP", "URI", "OpenStruct", "Struct", "Set", "Date", "Time", "Pathname", "StringIO", "Tempfile", "Logger", "OptionParser", or needs guidance on Ruby's built-in libraries. Use when this capability is needed.

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Use when migrating a dbt project from one data platform or data warehouse to another (e.g., Snowflake to Databricks, Databricks to Snowflake) using dbt Fusion's real-time compilation to identify and fix SQL dialect differences.

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Embedded SQL database providing ACID transactions, full-text search (FTS5), spatial indexing (R-Tree), JSON processing, virtual tables, and extensions. Use when building applications requiring embedded SQL databases, performing data analysis, implementing persistent storage, or working with SQLite features from basic CRUD to advanced queries. Use when this capability is needed.

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backtesting.py configuration for SQL oracle validation and range bar pattern backtesting. Use when running backtesting.py against ClickHouse SQL results, configuring Backtest() constructor, handling overlapping trades, multi-position mode, rolling quantile NaN handling, trade sorting, or oracle gate validation. TRIGGERS - backtesting.py, Backtest(), hedging, exclusive_orders, multi-position, overlapping trades, oracle validation, SQL vs Python, trade comparison, entry price mismatch, signal count mismatch, rolling quantile NaN, ExitTime sort, stats._trades, gen600_strategy, champion_strategy, gen300_strategy, barrier setup. Use when this capability is needed.

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Use when working with 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.

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Master quick plotting and interactive visualization with hvPlot. Use this skill when creating basic plots (line, scatter, bar, histogram, box), visualizing pandas DataFrames with minimal code, adding interactivity and hover tools, composing multiple plots in layouts, or generating publication-quality visualizations rapidly. Use when this capability is needed.

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SQL database management — migrations, schema auto-upgrade, PostgreSQL, SQLite, optimization Use when this capability is needed.

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Merge multiple CSV/Excel files with intelligent column matching, data deduplication, and conflict resolution. Handles different schemas, formats, and combines data sources. Use when users need to merge spreadsheets, combine data exports, or consolidate multiple files into one. Use when this capability is needed.

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Specialized Preact development skill for standards-based web applications with native-first architecture and minimal dependency footprint. Use when building Preact projects, particularly those involving data visualization, interactive applications, single-page apps with HTM syntax, Web Components integration, CSV/JSON data parsing, WebGL shader visualizations, or zero-build solutions with vendored ESM imports. Use when this capability is needed.

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Master modern business analysis with AI-powered analytics, real-time dashboards, and data-driven insights. Build comprehensive KPI frameworks, predictive models, and strategic recommendations. Use when this capability is needed.

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AI-native session continuity through shape anchors rather than linear logs. Use when beginning a session to orient from prior state, or when ending to crystallize state for future instances. Use when this capability is needed.

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Create a minimal working Snowflake example with real SQL queries. Use when this capability is needed.

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Scaffold or extend a FeathersJS v5 (Dove) service using the idiomatic four-file pattern (<name>.ts, <name>.class.ts, <name>.schema.ts, <name>.shared.ts), register it with app.configure, and wire it into the ServiceTypes declaration. Use this whenever the user wants to add a new resource, endpoint, collection, table-backed CRUD service, or "service" to a FeathersJS / Feathers app, or mentions feathers generate service, app.use, a database adapter (Knex/SQL, MongoDB, Memory), or asks why their service isn't registered. Trigger even if they just say "add a posts endpoint" or "make a CRUD resource" in a Feathers project. Use when this capability is needed.

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SQL Server Core Knowledge

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Logs and scores skill usage quality, tracking output effectiveness, user satisfaction signals, and improvement opportunities. Expert in skill analytics, quality metrics, feedback loops, and Use when this capability is needed.

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Spreadsheet generation powered by CellCog. Create Excel files, financial models, budget templates, data trackers, calculations, projections, XLSX files. AI-powered spreadsheet builder. Use when this capability is needed.

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SQL Gameplay

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Predictive analytics for Dynatrace — time series forecasting with the timeseries-forecast tool, capacity saturation planning, trend and anomaly detection across hosts, services, and infrastructure. Use when this capability is needed.

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SQL注入测试的专业技能和方法论 Use when this capability is needed.

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NetworkSim - Provider Network Intelligence & Analytics

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Expert knowledge for building SQL database sinks from Substreams. Covers database changes (CDC), relational mappings, PostgreSQL, ClickHouse, and materialized views. Use when this capability is needed.

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Database expert - query optimization, schema design Use when this capability is needed.

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Agent/Skill 사용 통계 및 성과 리포트 생성 전문가. CLI 차트로 시각화하고 인사이트를 제공합니다. "통계", "사용량", "analytics", "성과", "리포트", "메트릭", "분석", "usage", "metrics", "statistics", "report" 키워드에 반응. Use when this capability is needed.