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xlsx
Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When Claude needs to work with spreadsheets (.xlsx, .xlsm, .csv, .tsv, etc) for: (1) Creating new spreadsheets with formulas and formatting, (2) Reading or analyzing data, (3) Modify existing spreadsheets while preserving formulas, (4) Data analysis and visualization i
data-exploration-tool
Systematic database and table profiling for DBX Studio. Use when a user wants to understand their data, explore schema structure, or profile a dataset.
data-visualization
Chart and visualization generation for DBX Studio. Use when a user wants to visualize data — bar charts, line graphs, pie charts, scatter plots, etc.
sql-queries-tool
Expert SQL query generation for DBX Studio. Use when writing, optimizing, or debugging SQL queries against user database connections.
backend-dev-guidelines
Comprehensive backend development guide for Supabase Edge Functions + PostgreSQL. Use when working with Supabase (database, auth, storage, realtime), Edge Functions, PostgreSQL, Row-Level Security (RLS), Resend email, Stripe payments, or TypeScript backend patterns. Covers database design, auth flows, Edge Function patterns, RLS policies, email integration, payment processing, and deployment to Su
d3-viz
Create interactive data visualizations using D3.js. Use this when creating charts, graphs, network diagrams, geographic visualizations, or custom SVG-based data visualization.
xlsx
Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When Claude needs to work with spreadsheets (.xlsx, .xlsm, .csv, .tsv, etc) for: (1) Creating new spreadsheets with formulas and formatting, (2) Reading or analyzing data, (3) Modify existing spreadsheets while preserving formulas, (4) Data analysis and visualization i
backend-queries
Write secure, optimized database queries using parameterized statements, eager loading, proper indexing, and transaction management. Use this skill when writing database queries, implementing data fetching logic, optimizing query performance, preventing SQL injection, handling N+1 query problems, using ORMs or query builders, implementing caching strategies, or managing database transactions. Appl
backend-models
Define database models and ORM entities with proper naming, relationships, validation, and data integrity constraints. Use this skill when creating or modifying model classes, database table definitions, model relationships (one-to-many, many-to-many), data validation rules, database constraints, or model methods. Apply when working with ORM model files, ActiveRecord, SQLAlchemy, Sequelize, Prisma
datafusion-query-advisor
Reviews SQL queries and DataFrame operations for optimization opportunities including predicate pushdown, partition pruning, column projection, and join ordering. Activates when users write DataFusion queries or experience slow query performance.
engineering-nba-data
Extracts, transforms, and analyzes NBA statistics using the nba_api Python library. Use when working with NBA player stats, team data, game logs, shot charts, league statistics, or any NBA-related data engineering tasks. Supports both stats.nba.com endpoints and static player/team lookups.
firebase-data-connect
Build and deploy Firebase Data Connect backends with PostgreSQL. Use for schema design, GraphQL queries/mutations, authorization, and SDK generation for web, Android, iOS, and Flutter apps.