axiom-database-migration
Use when adding/modifying database columns, encountering "FOREIGN KEY constraint failed", "no such column", "cannot add NOT NULL column" errors, or creating schema migrations for SQLite/GRDB/SQLiteData - prevents data loss with safe migration patterns and testing workflows for iOS/macOS apps
axiom-ios-data
Use when working with ANY data persistence, database, axiom-storage, CloudKit, migration, or serialization. Covers SwiftData, Core Data, GRDB, SQLite, CloudKit sync, file storage, Codable, migrations.
axiom-sqlitedata-ref
SQLiteData advanced patterns, @Selection column groups, single-table inheritance, recursive CTEs, database views, custom aggregates, TableAlias self-joins, JSON/string aggregation
supabase-python
FastAPI with Supabase and SQLAlchemy/SQLModel
cloudflare-d1
Cloudflare D1 SQLite database with Workers, Drizzle ORM, migrations
sqlite-inspector
Проверка консистентности данных в SQLite базах данных MikoPBX после операций REST API. Использовать при валидации результатов API, отладке проблем с данными, проверке связей внешних ключей или инспектировании CDR записей для тестирования.
sql-translation
Guide for adding SQL function translations to dbplyr backends. Use when implementing new database-specific R-to-SQL translations for functions like string manipulation, date/time, aggregates, or window functions.
sql-research
Guide for researching SQL syntax and behavior for database backends. Use when you need to research how a SQL function, command, or feature works in a specific database before implementing it in dbplyr.
local-env
Local environment management - run SQL queries, set up fake payments, reset test data. Use when the user needs help with local database operations or test data setup.
format-migration
Format TypeORM migrations with beautifully formatted SQL code. Use this skill after generating migrations to ensure consistent SQL formatting.
crdb-change
Generate CockroachDB SQL and migrations for schema changes. Use when creating migrations, updating the database schema, or when the user mentions migrations, schema changes, or dbinit.sql.
durable-objects
Create and review Cloudflare Durable Objects. Use when building stateful coordination (chat rooms, multiplayer games, booking systems), implementing RPC methods, SQLite storage, alarms, WebSockets, or reviewing DO code for best practices. Covers Workers integration, wrangler config, and testing with Vitest.
write-sql-queries
Guide for writing SELECT, INSERT, UPDATE, DELETE queries with workers-qb
query-translator
Translate SQL queries between different database dialects with function mapping and optimization
sql-query-optimizer
Analyzes and optimizes SQL queries across different data warehouse platforms (Snowflake, BigQuery, Redshift, Databricks) with platform-specific recommendations.
data-lineage-mapper
Extracts and maps data lineage from various sources including SQL, dbt, Airflow, and Spark, generating comprehensive lineage graphs for impact analysis.
sqli
SQL 注入漏洞检测与利用。当目标存在数据库查询、搜索功能、登录表单、URL 参数时使用。包括 UNION、报错、盲注等技术。
penetration-tester-master
Ultimate Offensive Security Master Skill. Covers Ethical Hacking Methodology, Infrastructure Attacks (AD, AWS), Web Vulnerabilities (OWASP Top 10, Bug Bounty), and Advanced Toolsets (Metasploit, Burp Suite, SQLMap).
optimizing-sql
Optimize SQL query performance through EXPLAIN analysis, indexing strategies, and query rewriting for PostgreSQL, MySQL, and SQL Server. Use when debugging slow queries, analyzing execution plans, or improving database performance.
using-relational-databases
Relational database implementation across Python, Rust, Go, and TypeScript. Use when building CRUD applications, transactional systems, or structured data storage. Covers PostgreSQL (primary), MySQL, SQLite, ORMs (SQLAlchemy, Prisma, SeaORM, GORM), query builders (Drizzle, sqlc, SQLx), migrations, connection pooling, and serverless databases (Neon, PlanetScale, Turso).
transforming-data
Transform raw data into analytical assets using ETL/ELT patterns, SQL (dbt), Python (pandas/polars/PySpark), and orchestration (Airflow). Use when building data pipelines, implementing incremental models, migrating from pandas to polars, or orchestrating multi-step transformations with testing and quality checks.
sqlc
Working with sqlc and database queries
analyzing-data
Queries data warehouse and answers business questions about data. Handles questions requiring database/warehouse queries including "who uses X", "how many Y", "show me Z", "find customers", "what is the count", data lookups, metrics, trends, or SQL analysis.
sql-injection-testing
Validate SQL injection vulnerabilities (including blind SQLi) across time-based, error-based, boolean-based, UNION-based, stacked-query, and out-of-band patterns. Use when testing CWE-89 (SQL Injection), CWE-564 (Hibernate SQL Injection), and related SQL injection classes across MySQL, PostgreSQL, MSSQL, Oracle, and SQLite targets.
rust
Use when building Axum applications, implementing type-safe handlers, working with SQLx, setting up error handling with thiserror, or writing Rust backend services.
python
Use when building FastAPI applications, implementing async endpoints, setting up Pydantic schemas, working with SQLAlchemy, or writing pytest tests for Python backend services.
database-patterns
Use when designing database schemas, implementing repository patterns, writing optimized queries, managing migrations, or working with indexes and transactions for SQL/NoSQL databases.
bunjs
Use when building Bun.js/Hono applications, implementing HTTP endpoints, setting up Prisma/SQLite, writing Zod validation, or using Bun's test runner. See bunjs-architecture for layered patterns, bunjs-production for deployment.
sqlite-vectordb
SQLite vector DB for work log storage and semantic search. Use for indexing work logs, generating embeddings, semantic search, and DB maintenance.
answering-natural-language-questions-with-dbt
Writes and executes SQL queries against the data warehouse using dbt's Semantic Layer or ad-hoc SQL to answer business questions. Use when a user asks about analytics, metrics, KPIs, or data (e.g., "What were total sales last quarter?", "Show me top customers by revenue"). NOT for validating, testing, or building dbt models during development.
using-dbt-for-analytics-engineering
Builds and modifies dbt models, writes SQL transformations using ref() and source(), creates tests, and validates results with dbt show. Use when doing any dbt work - building or modifying models, debugging errors, exploring unfamiliar data sources, writing tests, or evaluating impact of changes.
qe-database-testing
Database schema validation, data integrity testing, migration testing, transaction isolation, and query performance. Use when testing data persistence, ensuring referential integrity, or validating database migrations.
database-testing
Database schema validation, data integrity testing, migration testing, transaction isolation, and query performance. Use when testing data persistence, ensuring referential integrity, or validating database migrations.
input-validation
Implement comprehensive input validation to prevent XSS, SQL injection, and command injection attacks with sanitization strategies
Wheels Migration Generator
Generate database-agnostic Wheels migrations for creating tables, altering schemas, and managing database changes. Use when creating or modifying database schema, adding tables, columns, indexes, or foreign keys. Prevents database-specific SQL and ensures cross-database compatibility.
Wheels Anti-Pattern Detector
Automatically detect and prevent common Wheels framework errors before code is generated. This skill activates during ANY Wheels code generation (models, controllers, views, migrations) to validate patterns and prevent known issues. Scans for mixed arguments, query/array confusion, non-existent helpers, and database-specific SQL.
implement-dao
Implement a DAO. SQLDelight database operations, DbError, persistence, queries, fake with reset()
marimo-development
Expert guidance for creating and working with marimo notebooks - reactive Python notebooks that can be executed as scripts and deployed as apps. Use when the user asks to create marimo notebooks, convert Jupyter notebooks to marimo, build interactive dashboards or data apps with marimo, work with marimo's reactive programming model, debug marimo notebooks, or needs help with marimo-specific features (cells, UI elements, reactivity, SQL integration, deploying apps, etc.).
sqlalchemy-2-0
Modern async ORM with type-safe models and efficient queries
creating-bauplan-pipelines
Creates bauplan data pipeline projects with SQL and Python models. Use when starting a new pipeline, defining DAG transformations, writing models, or setting up bauplan project structure from scratch.
sql-expert
Write, optimize, and debug T-SQL queries for Microsoft SQL Server. Covers CTEs, window functions, PIVOT, MERGE, APPLY operators, execution plan analysis, indexing strategies, and stored procedures. Use when working with SQL Server, T-SQL scripts, .sql files, stored procedures, query optimization, or database performance tuning.
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. Apply when working with SQL queries, ORM query methods, database repository patterns, or any code that retrieves or manipulates data from databases.
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 schemas, or any database model definitions that map objects to database tables and enforce data structure and relationships.
database-schema-validator
Validates SQL schema files for compliance with internal safety and naming policies.
jzero-skills
Comprehensive knowledge base for jzero framework (enhanced go-zero). Use this skill when working with jzero to understand correct patterns for REST APIs (Handler/Logic/Context architecture), RPC services (service discovery, load balancing), Gateway services, database operations (sqlx, MongoDB, caching), resilience patterns (circuit breaker, rate limiting), and jzero-specific features (git-change-based generation, flexible configuration, custom templates). Essential for generating production-ready jzero code that follows framework conventions.
Database Implementation
Database schema design, migrations, query optimization with SQL, Exposed ORM, Flyway. Use for database, migration, schema, sql, flyway tags. Provides migration patterns, validation commands, rollback strategies.
building-with-sqlmodel-async
Use when building async database layers with SQLModel and PostgreSQL. Triggers include async session management, create_async_engine, SQLModel relationships, CRUD operations with async/await, N+1 prevention with selectinload, JSONB columns, self-referential models, or Alembic async migrations. NOT when using sync SQLAlchemy (use sync patterns) or raw SQL (use SQLModel ORM).
testing-ai-agents
Use when testing AI agent code with pytest. Covers TDD for agent APIs, mocking LLM calls (NOT evaluating LLM outputs), pytest-asyncio patterns, FastAPI testing with httpx, SQLModel testing, and agent tool testing. NOT for evaluating LLM reasoning quality (use evals skill).