Data & Analytics

majiayu000 Bundle

Application security patterns - authentication, secrets management, input validation, OWASP Top 10. Use when: auth, JWT, secrets, API keys, SQL injection, XSS, CSRF, RLS, security audit, pen testing basics.

majiayu000 Bundle

Unified trading system with auto-logging, bots, and performance analytics

majiayu000 Bundle

End-to-end data science patterns (modern best practices): problem framing -> data -> EDA -> feature engineering (with feature stores) -> modelling -> evaluation -> reporting, plus SQL transformation (SQLMesh). Emphasizes MLOps integration, drift monitoring, and production-ready workflows.

majiayu000 Bundle

Extract and score leads from GitHub repositories by analyzing stars, forks, issues, PRs, comments, and contributions. Produces unified multi-repo CSV with deduplicated user profiles. No paid API credits required.

majiayu000 Bundle

Define an operations spreadsheet deliverable with schema, formula logic, ownership, and a starter CSV template.

majiayu000 Bundle

This skill should be used when the user asks about "R2", "D1", "KV", "Durable Objects", "Queues", "Vectorize", "Hyperdrive", "Workers Analytics", "Email Routing", "Browser Rendering", or discusses Cloudflare platform services, storage options, database choices, when to use which service, or integration patterns between Workers and platform products.

majiayu000 Bundle

Creates comprehensive dashboard and analytics interfaces that combine data visualization, KPI cards, real-time updates, and interactive layouts. Use this skill when building business intelligence dashboards, monitoring systems, executive reports, or any interface that requires multiple coordinated data displays with filters, metrics, and visualizations working together.

majiayu000 Bundle

Creates dbt models following project conventions. Use when working with dbt models for: (1) Creating new models (any layer - discovers project's naming conventions first) (2) Task mentions "create", "build", "add", "write", "new", or "implement" with model, table, or SQL (3) Modifying existing model logic, columns, joins, or transformations (4) Implementing a model from schema.yml specs or expected output requirements Discovers project conventions before writing. Runs dbt build (not just compile) to verify.

majiayu000 Bundle

Analyzes CSV files, generates summary stats, and plots quick visualizations using Python and pandas.

majiayu000 Bundle

Create interactive data visualizations using D3.js for charts, graphs, maps, and custom visual analytics

majiayu000 Bundle

Expert guidance for Dagster data orchestration including assets, resources, schedules, sensors, partitions, testing, and ETL patterns. Use when building or extending Dagster projects, writing assets, configuring automation, or integrating with dbt/dlt/Sling.

majiayu000 Bundle

Warehouse-Prozess-Analyse mit 207 Labels, 47 Prozessen, 8 Szenarien, 10 Triggern. Vollständige Expertise für DaRa Datensatz + REFA-Methodik + Validierungslogik + Szenarioerkennung. 100% faktenbasiert ohne Halluzinationen.

majiayu000 Bundle

Export query results to various formats (CSV, JSON, Excel, Markdown tables) with proper formatting and headers. Use when saving analysis results to files. This skill provides data export utilities for multiple formats: - CSV: Comma-separated with headers, customizable delimiters - JSON: Structured data with pretty-print option - Excel: Multiple sheets, cell formatting, formulas - Markdown: Tables for documentation Triggers: "export data", "save results", "output CSV", "output JSON", "output Excel", "データ出力", "結果保存", "エクスポート"

majiayu000 Bundle

Use when exporting data for ad platforms (Google Ads, Meta) or working with project datasets. Documents exact CSV formats for Enhanced Conversions, Customer Match, and project data schemas.

majiayu000 Bundle

Expert-level data science, analytics, visualization, and statistical modeling

majiayu000 Bundle

Connect your own data source to replace the demo unicorns data. Use when the user wants to use their own database URL or CSV file instead of the sample data. Triggers on requests to connect database, import CSV, change data source, use own data, or switch from demo data.

majiayu000 Bundle

Convert between data formats (JSON, CSV, XML, YAML, TOML). Handles nested structures, arrays, and preserves data types where possible.

majiayu000 Bundle

データ分析とビジネスメトリクスの設計を支援します。KPI定義、データ収集戦略、ダッシュボード設計を提供します。分析基盤の設計、ビジネスメトリクスの測定体系構築が必要な場合に使用してください。

majiayu000 Bundle

Manage Kurt documents - list, query, retrieve content, delete, find duplicates. Use CLI commands, Python API, or direct SQL queries.

majiayu000 Bundle

Set up earnings tasks for a ticker with CSV persistence and Claude task tracking

majiayu000 Bundle

Analyze messy and unstructured Excel files to identify data quality issues, detect format inconsistencies, find missing values, and generate comprehensive analysis reports. Use when Claude needs to work with Excel files (.xlsx, .xls) for data quality assessment, structure analysis, or when users request data auditing, cleaning recommendations, or statistical summaries of spreadsheet data.

majiayu000 Bundle

Gera arquivos Excel, CSV ou JSON para download pelo usuario. Use quando o usuario pedir para exportar dados, criar planilha, gerar relatorio ou baixar informacoes. SEMPRE use esta skill em vez de Write para criar arquivos que o usuario precisa baixar.

majiayu000 Bundle

Process aviation fuel surcharge bills from Excel files. Supports both automatic detection and Claude-assisted modes. Detects headers, matches columns, parses dates/routes, and fetches contract numbers via API. Use when working with aviation fuel bills, Excel file processing, or when user mentions fuel surcharges,航空燃油账单, or 燃油差价费.

majiayu000 Bundle

Data persistence patterns in Go covering raw SQL with sqlx/pgx, ORMs like Ent and GORM, connection pooling, migrations with golang-migrate, and transaction management. Use when implementing database access, designing repositories, or managing schema migrations.

majiayu000 Bundle

Evidence framework data dashboard with DuckDB. Write SQL in markdown to create visualizations.

majiayu000 Bundle

Analyzes long call butterfly spreads with 3 strikes and 4 legs for neutral outlook. Requires numpy>=1.24.0, pandas>=2.0.0, matplotlib>=3.7.0, scipy>=1.10.0. Use when expecting minimal price movement, want low-cost defined-risk strategy, analyzing pinning opportunities, or evaluating tight-range neutral positions on stocks near technical levels.

majiayu000 Bundle

ALWAYS use when: creating/editing marimo notebooks, working with any .py file containing @app.cell decorators, building reactive Python notebooks, doing exploratory data analysis in notebook form, converting Jupyter (.ipynb) to marimo, or when user mentions "marimo", "reactive notebook", or asks for an interactive Python notebook. Covers marimo CLI (edit, run, convert, export), UI components (mo.ui.*), layout functions, SQL integration, caching, state management, and wigglystuff widgets. If a task involves notebooks and Python, invoke this skill first.

majiayu000 Bundle

Automatically activates when a dbt model, SQL file, or table is referenced. Surfaces Monte Carlo context — table health, active alerts, lineage, blast radius — before any code is written, and uses those findings to shape code recommendations. Generates and optionally deploys monitors for new transformation logic. After a change is made, generates targeted SQL validation queries to verify the change behaved as intended. Do not wait to be asked: run the appropriate workflow as soon as a relevant file or table is referenced.

majiayu000 Bundle

Import RAO (Response Amplitude Operator) data from external sources including AQWA, OrcaFlex, and CSV files. Includes validation, interpolation, and conversion for OrcaFlex vessel type creation.

majiayu000 Bundle

Generate organizational hierarchy charts from CSV, JSON, or nested data. Supports multiple layouts, department coloring, and PNG/SVG/PDF export.

majiayu000 Bundle

Look up Pokemon Trading Card Game prices from the TCGCSV API. Use this when users ask about card prices, market values, or availability for specific Pokemon cards in English sets. Supports flexible card name matching, rarity abbreviations (IR, SIR, etc.), and "did you mean?" suggestions for misspelled set or card names. Returns current market price, listing prices, and card details without loading entire CSV files into context.

majiayu000 Bundle

Multi-project portfolio analytics dashboard. Aggregate KPIs across projects, track portfolio health, compare performance, and support executive decision-making.

majiayu000 Bundle

PostgreSQL-specific database patterns including advanced index types (GiST, GIN, BRIN, partial), native data types (JSONB, arrays, enums, ranges), PgBouncer pooling, and VACUUM tuning. Use when working with PostgreSQL databases, writing PostgreSQL-specific SQL, or optimizing PostgreSQL performance. Do NOT use for MySQL/Aurora -- use database-patterns and mysql-aurora-patterns instead.

majiayu000 Bundle

Generate a formatted FF&E specification schedule from raw product data — notes, CSV, or pasted lists. Outputs a structured schedule compatible with the 33-column master schema.

majiayu000 Bundle

编写用于数据清洗、分析和可视化的 Python 脚本 (Pandas/Matplotlib)

majiayu000 Bundle

Expert in quantitative finance, algorithmic trading, and financial data analysis using Python (Pandas/NumPy), statistical modeling, and machine learning.