Data & Analytics

majiayu000 Bundle

AI-powered enterprise document processing orchestrator with Context7 integration, intelligent document analysis, automated content extraction, multi-format support (docx, pdf, pptx, xlsx), and enterprise-grade document workflow automation

majiayu000 Bundle

Create and manipulate Excel spreadsheets.

majiayu000 Bundle

Build document Q&A and searchable knowledge bases with Google Gemini File Search - fully managed RAG with automatic chunking, embeddings, and citations. Upload 100+ file formats (PDF, Word, Excel, code), configure semantic search, and query with natural language. Use when: building document Q&A systems, creating searchable knowledge bases, implementing semantic search without managing embeddings, indexing large document collections (100+ formats), or troubleshooting document immutability errors (delete+re-upload required), storage quota issues (3x input size for embeddings), chunking configuration (500 tokens/chunk recommended), metadata limits (20 key-value pairs max), indexing cost surprises ($0.15/1M tokens one-time), operation polling timeouts (wait for done: true), force delete errors, or model compatibility (Gemini 2.5 Pro/Flash only).

majiayu000 Bundle

Execute DuckDB SQL queries against MotherDuck databases. Use when running analytics, aggregations, transformations, or any SQL operation. Covers query best practices, CTEs, window functions, QUALIFY, and performance optimization.

majiayu000 Bundle

Step-by-step guidance for xlsx.

majiayu000 Bundle

Execute Sprint 1 tasks for FASA optimization and trade analytics. This skill should be used when the user requests execution of any Sprint 1 task (Tasks 1.1 through 3.2), including cap space parsing, Sleeper integration, FASA target marts, notebooks, valuation models, trade analysis, automation workflows, or documentation. Each task is atomic, standalone, and designed for independent execution with built-in validation.

majiayu000 Bundle

Convert natural language queries to SQL. Use for database queries, data analysis, and reporting.

majiayu000 Bundle

Ingest data from S3 into bauplan using the Write-Audit-Publish pattern for safe data loading. Use when loading new data from S3, performing safe data ingestion, or when the user mentions WAP, data ingestion, importing parquet/csv/jsonl files, or needs to safely load data with quality checks.

majiayu000 Bundle

Design and build database schemas and data models in MotherDuck. Produces a file-based project scaffold. Use when creating tables, choosing data types, defining relationships, or restructuring data for analytics workloads.

majiayu000 Bundle

Step-by-step guidance for SQL pro.

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

Use when you need programmatic JDBC in Micronaut — pooled DataSource, parameterized SQL, io.micronaut.transaction.annotation.Transactional, batching, and domain exception translation. This should trigger for requests such as Review JDBC or SQL data access in a Micronaut project; Improve transactions and parameter binding for Micronaut JDBC; Translate SQLException to domain exceptions or stream large result sets; Fix self-invocation bypassing @Transactional in Micronaut. Part of cursor-rules-java project

majiayu000 Bundle

Use when you need data access with Micronaut Data — @MappedEntity, CrudRepository/PageableRepository, @Query with parameters, @Transactional services, projections, @Version, and @MicronautTest with TestPropertyProvider and Testcontainers. For raw java.sql access without generated repositories, use @511-frameworks-micronaut-jdbc. This should trigger for requests such as Review or implement Micronaut Data repositories and entities; Add transactions, pagination, or projections in Micronaut persistence layer. Part of cursor-rules-java project

majiayu000 Bundle

Create interactive MotherDuck Dives with live SQL queries. Use when building, previewing, saving, styling, updating, or embedding a Dive, especially when the workflow depends on get_dive_guide, useSQLQuery, theme prompts, and live MotherDuck data.

majiayu000 Bundle

Expert guidance for TM1py Python package for IBM Planning Analytics (TM1). Master connection management, data operations (MDX, views, DataFrames), metadata CRUD, performance optimization, and best practices. Use when working with TM1py, IBM Planning Analytics API, or when user mentions TM1, Planning Analytics, TM1 REST API, MDX queries, cube operations, dimension management, or Python TM1 development.

majiayu000 Bundle

DuckDB SQL reference for MotherDuck. Use when you need exact DuckDB syntax, function behavior, supported MotherDuck SQL features, or to resolve whether PostgreSQL-oriented SQL will fail on MotherDuck.

majiayu000 Bundle

Confirmation emails and calendar invitations for workshop or cohort attendance.

majiayu000 Bundle

Clean and format SQL migrations for Supabase - idempotency, RLS policies, formatting, schema fixes. Use when: fix this SQL, clean migration, RLS policy, Supabase schema, format postgres, prepare for SQL Editor, idempotent migration.

majiayu000 Bundle

Use when writing raw SQL queries with GRDB, complex joins, ValueObservation for reactive queries, DatabaseMigrator patterns, query profiling under performance pressure, or dropping down from SQLiteData for performance - direct SQLite access for iOS/macOS

majiayu000 Bundle

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.

majiayu000 Bundle

Execute DuckDB SQL queries against MotherDuck databases. Use when running analytics, aggregations, transformations, or any SQL operation. Covers query best practices, CTEs, window functions, QUALIFY, and performance optimization.

majiayu000 Bundle

Use when automating or advising on MotherDuck REST API control-plane workflows for service-account provisioning, supported access-token lifecycle operations, Duckling instance configuration, active account inspection, or Dive embed sessions. Do not use for SQL or data-plane query work.

majiayu000 Bundle

Rastreia fluxos documentais completos no Odoo, executa auditorias financeiras e gerencia conciliacoes bancarias. USAR QUANDO: - Rastrear NF de compra/venda: "rastreie NF 12345", "fluxo da nota 54321" - Rastrear pedido de compra: "rastreie PO00789", "fluxo do pedido de compra" - Rastrear pedido de venda: "rastreie VCD123", "fluxo do VFB456" - Rastrear por parceiro: "documentos do Atacadao", "fluxo do fornecedor Vale Sul" - Rastrear por CNPJ: "rastreie 18467441000123" - Rastrear por chave NF-e: "rastreie 3525..." - Ver titulos e conciliacoes: "pagamentos da NF 12345", "titulos do PO00789" - Verificar devolucoes: "devolucao da NF 54321", "nota de credito" - Auditoria de faturas de compra: "auditoria faturas novembro", "faturas fornecedores" - Auditoria de extrato bancario: "extrato bancario 2024", "conciliacao bancaria" - Mapeamento de vinculos: "extratos sem vinculo", "titulos soltos", "faturas sem pagamento" - Vincular extrato com fatura via Excel: "processar planilha de vinculacao", "conciliar via Excel" NAO

majiayu000 Bundle

Expert guidance for Microsoft Fabric Real-Time Intelligence (RTI) using the Fabric RTI MCP Server. Execute KQL queries on Eventhouse, manage Eventstreams for real-time data processing, create Activator triggers for alerting, and manage Map items. Use when working with Fabric RTI, KQL, real-time analytics, streaming data, or event-driven applications.

majiayu000 Bundle

Analyze CSV data files and interpret figures to generate the Results section. Fifth step of biomedical-science-writer workflow. Requires scope.md, data/ folder with CSVs, and figures/ folder with images.

majiayu000 Bundle

Design a MotherDuck-backed customer-facing analytics app. Use when building embedded or product analytics for external users and the decision depends on per-customer isolation, backend routing, service-account boundaries, read scaling, or Hypertenancy-style patterns.

majiayu000 Bundle

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.

majiayu000 Bundle

DuckDB SQL reference for MotherDuck. Use when you need exact DuckDB syntax, function behavior, supported MotherDuck SQL features, or to resolve whether PostgreSQL-oriented SQL will fail on MotherDuck.

majiayu000 Bundle

Design and build database schemas and data models in MotherDuck. Produces a file-based project scaffold. Use when creating tables, choosing data types, defining relationships, or restructuring data for analytics workloads.

majiayu000 Bundle

Stream-JSON chaining for multi-agent pipelines, data transformation, and sequential workflows

majiayu000 Bundle

Use when running xaffinity CLI commands, or when user asks to search, find, get, export, or list people, companies, opportunities, lists, or CRM data from Affinity via command line. Also use when user mentions "xaffinity", "export to CSV", or needs help with Affinity CLI commands.

majiayu000 Bundle

Master dbt (data build tool) for analytics engineering with model organization, testing, documentation, and incremental strategies. Use when building data transformations, creating data models, or implementing analytics engineering best practices.

majiayu000 Bundle

Automate Supabase database queries, table management, project administration, storage, edge functions, and SQL execution via Rube MCP (Composio). Always search tools first for current schemas.

majiayu000 Bundle

Create, edit, and analyze Excel spreadsheets with formulas, formatting, charts, pivot tables, and data validation. Supports xlsx, exceljs, openpyxl, and pandas for comprehensive spreadsheet workflows in Node.js and Python.

majiayu000 Bundle

開発作業の設計書（design.md）を生成します。このスキルは単独で使用することも、generate-working-docsから呼び出されることもあります。

majiayu000 Bundle

Use when you need to write or review programmatic JDBC with Spring — including JdbcClient (Spring Framework 7+) as the default API, JdbcTemplate only where batch/streaming APIs require JdbcOperations, NamedParameterJdbcTemplate for legacy named-param code, parameterized SQL, RowMapper mapping to records, batch operations, transactions, safe handling of generated keys, DataAccessException handling, read-only transactions, streaming large result sets, and @JdbcTest slice testing. This should trigger for requests such as Review Java code for Spring JDBC (JdbcTemplate, JdbcClient, NamedParameterJdbcTemplate); Apply best practices for Spring JDBC data access in Java code; Detect and fix SQL injection risks in JDBC code; Improve transaction boundaries or exception handling for JDBC operations. Part of cursor-rules-java project