How many sql skills are there?

We list 316 AI agent skills related to sql.

SQL Agent Skills

There are 316 agent skills in our directory.

Agent skills related to sql. We catalog 316 skills that mention sql in their name or description.

Updated June 2026

512-frameworks-micronaut-dataUse 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 projectApache-2.0
answerlayerQuery databases in natural language with AnswerLayer. Use when the user wants to set up or configure AnswerLayer, connect to their data, ask analytical or business questions about a database (revenue, users, counts, "top N", trends, metrics), run SQL through AnswerLayer, or manage AnswerLayer connections, saved queries, the semantic layer, or dashboards.
apple-notes-core-workflow-bExport and convert Apple Notes to Markdown, JSON, HTML, and SQLite.MIT
apply-migrationApply SQL migration files to JusticeHub Supabase database with verification and error handling.
archaeologyEMBEDDED — Retrieves proven SQL patterns and reusable CTEs. This functionality is built into the ask-question and run-analysis skill. Do NOT invoke archaeology separately — use ask-question and run-analysis instead, which includes these instructions inline.
arrow-cliUse `arrow_cli` to connect to a Flight SQL server and run SQL.
async-sqlalchemy-patternsAsync SQLAlchemy 2.0+ database patterns for FastAPI including session management, connection pooling, Alembic migrations, relationship loading strategies, and query optimization. Use when implementing database models, configuring async sessions, setting up migrations, optimizing queries, managing relationships, or when user mentions SQLAlchemy, async database, ORM, Alembic, database performance, or connection pooling.
audit-flowInteractive system flow tracing across CODE, API, AUTH, DATA, NETWORK layers with SQLite persistence and Mermaid export. Use for security audits, compliance documentation, flow tracing, feature ideation, brainstorming, debugging, architecture reviews, or incident post-mortems. Triggers on audit, trace flow, document flow, security review, debug flow, brainstorm, architecture review, post-mortem, incident review.MIT
audit-injectionInjection audit checklist (SQL, NoSQL, command, template, path). Use when queries, shell commands, templates, or paths are built from user input.
audit-injectionInjection audit checklist (SQL, NoSQL, command, template, path). Use when queries, shell commands, templates, or paths are built from user input.
azure-cosmos-db-pyBuild Azure Cosmos DB NoSQL services with Python/FastAPI following production-grade patterns. Use when implementing database client setup with dual auth (DefaultAzureCredential + emulator), service layer classes with CRUD operations, partition key strategies, parameterized queries, or TDD patterns for Cosmos. Triggers on phrases like "Cosmos DB", "NoSQL database", "document store", "add persistence", "database service layer", or "Python Cosmos SDK".
azure-cosmos-db-pyBuild production-grade Azure Cosmos DB NoSQL services following clean code, security best practices, and TDD principles.
azure-cosmos-db-pyBuild production-grade Azure Cosmos DB NoSQL services following clean code, security best practices, and TDD principles.
azure-cosmos-db-pyBuild production-grade Azure Cosmos DB NoSQL services following clean code, security best practices, and TDD principles.
azure-cosmos-javaAzure Cosmos DB SDK for Java. NoSQL database operations with global distribution, multi-model support, and reactive patterns.
azure-cosmos-javaAzure Cosmos DB SDK for Java. NoSQL database operations with global distribution, multi-model support, and reactive patterns.
azure-cosmos-pyAzure Cosmos DB SDK for Python (NoSQL API). Use for document CRUD, queries, containers, and globally distributed data.
azure-cosmos-pyAzure Cosmos DB SDK for Python (NoSQL API). Use for document CRUD, queries, containers, and globally distributed data.
azure-cosmos-rustAzure Cosmos DB SDK for Rust (NoSQL API). Use for document CRUD, queries, containers, and globally distributed data.
azure-cosmos-rustAzure Cosmos DB SDK for Rust (NoSQL API). Use for document CRUD, queries, containers, and globally distributed data.
azure-data-tables-pyAzure Tables SDK for Python (Storage and Cosmos DB). Use for NoSQL key-value storage, entity CRUD, and batch operations.
azure-data-tables-pyAzure Tables SDK for Python (Storage and Cosmos DB). Use for NoSQL key-value storage, entity CRUD, and batch operations.
azure-postgresCreate new Azure Database for PostgreSQL Flexible Server instances and configure passwordless authentication with Microsoft Entra ID. Set up developer access, managed identities for apps, group-based permissions, and migrate from password-based to Entra ID authentication. Trigger phrases include "passwordless for postgres", "entra id postgres", "azure ad postgres authentication", "postgres managed identity", "migrate postgres to passwordless".
azure-postgres-tsConnect to Azure Database for PostgreSQL Flexible Server from Node.js/TypeScript using the pg (node-postgres) package.
azure-postgres-tsConnect to Azure Database for PostgreSQL Flexible Server from Node.js/TypeScript using the pg (node-postgres) package.
azure-resource-manager-mysql-dotnetAzure MySQL Flexible Server SDK for .NET. Database management for MySQL Flexible Server deployments.
azure-resource-manager-mysql-dotnetAzure MySQL Flexible Server SDK for .NET. Database management for MySQL Flexible Server deployments.
azure-resource-manager-postgresql-dotnetAzure PostgreSQL Flexible Server SDK for .NET. Database management for PostgreSQL Flexible Server deployments.
azure-resource-manager-postgresql-dotnetAzure PostgreSQL Flexible Server SDK for .NET. Database management for PostgreSQL Flexible Server deployments.
azure-resource-manager-postgresql-dotnetAzure PostgreSQL Flexible Server SDK for .NET. Database management for PostgreSQL Flexible Server deployments.
azure-resource-manager-sql-dotnetAzure Resource Manager SDK for Azure SQL in .NET.
azure-resource-manager-sql-dotnetAzure Resource Manager SDK for Azure SQL in .NET.
azure-resource-manager-sql-dotnetAzure Resource Manager SDK for Azure SQL in .NET.
beeper-cliRead-only CLI for browsing, opening, and searching local Beeper chat history (SQLite-based)
bigquery-sqlBigQuery-specific SQL patterns: UNNEST for array expansion, STRUCT, ARRAY_AGG, DATE_DIFF/DATE_ADD, backtick-quoted table references, EXCEPT/REPLACE in SELECT, approximate aggregation, partitioned and wildcard tables.
check-migrationFlywayマイグレーションチェックスキル - マイグレーションファイルの検証、バージョン番号の競合チェック、命名規則チェック、SQL構文チェックを実施します。mainブランチとの競合確認も行い、マイグレーションの品質を保証します。
check-migrationFlywayマイグレーションチェックスキル - マイグレーションファイルの検証、バージョン番号の競合チェック、命名規則チェック、SQL構文チェックを実施します。mainブランチとの競合確認も行い、マイグレーションの品質を保証します。
clickhouse-core-workflow-bInsert, query, and aggregate data in ClickHouse with real SQL patterns.MIT
clickhouse-enterprise-rbacConfigure ClickHouse enterprise RBAC \u2014 SQL-based users, roles,\MIT
cloud-sql-instance-setup|MIT
cloud-sql-instance-setup|MIT
cloud-sql-postgres-monitorUse these skills when you need to troubleshoot performance bottlenecks, analyze query execution plans, identify resource-heavy processes, and monitor system-level PromQL metrics.
cloudbaseCloudBase is a full-stack development and deployment toolkit for building and launching websites, Web apps, 微信小程序 (WeChat Mini Programs), and mobile apps with backend, database, hosting, cloud functions, storage, AI capabilities, Agent, and UI guidance. This skill should be used when users ask to develop, build, create, scaffold, deploy, publish, host, launch, go live, migrate, or optimize websites, Web apps, landing pages, dashboards, admin systems, e-commerce sites, 微信小程序 (WeChat Mini Programs), 小程序, Agent, 智能体, uni-app, or native/mobile apps with CloudBase (腾讯云开发, 云开发), including authentication, login, database, NoSQL, MySQL, cloud functions, CloudRun, storage, AI models, and UI guidance, or when they ask to compare CloudBase with Supabase or migrate from Supabase to CloudBase.
cloudbaseCloudBase is a full-stack development and deployment toolkit for building and launching websites, Web apps, 微信小程序 (WeChat Mini Programs), and mobile apps with backend, database, hosting, cloud functions, storage, AI capabilities, Agent, and UI guidance. This skill should be used when users ask to develop, build, create, scaffold, deploy, publish, host, launch, go live, migrate, or optimize websites, Web apps, landing pages, dashboards, admin systems, e-commerce sites, 微信小程序 (WeChat Mini Programs), 小程序, Agent, 智能体, uni-app, or native/mobile apps with CloudBase (腾讯云开发, 云开发), including authentication, login, database, NoSQL, MySQL, cloud functions, CloudRun, storage, AI models, and UI guidance, or when they ask to compare CloudBase with Supabase or migrate from Supabase to CloudBase.
cloudbaseCloudBase is a full-stack development and deployment toolkit for building and launching websites, Web apps, 微信小程序 (WeChat Mini Programs), and mobile apps with backend, database, hosting, cloud functions, storage, AI capabilities, Agent, and UI guidance. This skill should be used when users ask to develop, build, create, scaffold, deploy, publish, host, launch, go live, migrate, or optimize websites, Web apps, landing pages, dashboards, admin systems, e-commerce sites, 微信小程序 (WeChat Mini Programs), 小程序, Agent, 智能体, uni-app, or native/mobile apps with CloudBase (腾讯云开发, 云开发), including authentication, login, database, NoSQL, MySQL, cloud functions, CloudRun, storage, AI models, and UI guidance, or when they ask to compare CloudBase with Supabase or migrate from Supabase to CloudBase.
cloudbaseCloudBase is a full-stack development and deployment toolkit for building and launching websites, Web apps, 微信小程序 (WeChat Mini Programs), and mobile apps with backend, database, hosting, cloud functions, storage, AI capabilities, Agent, and UI guidance. This skill should be used when users ask to develop, build, create, scaffold, deploy, publish, host, launch, go live, migrate, or optimize websites, Web apps, landing pages, dashboards, admin systems, e-commerce sites, 微信小程序 (WeChat Mini Programs), 小程序, Agent, 智能体, uni-app, or native/mobile apps with CloudBase (腾讯云开发, 云开发), including authentication, login, database, NoSQL, MySQL, cloud functions, CloudRun, storage, AI models, and UI guidance, or when they ask to compare CloudBase with Supabase or migrate from Supabase to CloudBase.
cloudbase-agent-pythonBuild production-ready AI agent backends using the CloudBase Agent Python SDK — create agents with LangGraph/CrewAI/LlamaIndex, serve them via FastAPI with AG-UI protocol streaming + OpenAI-compatible endpoints, add tools (bash, filesystem, MCP, code execution), memory (in-memory, TDAI, MySQL, MongoDB), observability (OpenTelemetry/Langfuse), and middleware (auth, logging). Use this skill when the user wants to create an AI agent server, build a chatbot backend, set up human-in-the-loop workflows, integrate MCP tools, add agent observability, or deploy an agent API — even if they don't explicitly mention 'CloudBase Agent.
cloudbase-cliCloudBase CLI (tcb, 云开发CLI, Tencent CloudBase命令行) resource management skill. This skill should be used when users need to deploy cloud functions, manage CloudRun apps, upload files to storage, query NoSQL/MySQL databases, deploy static hosting, set access permissions, or configure CORS/domains/routing via tcb commands. Also use for CI/CD pipeline scripting, batch operations, terminal-based CloudBase management, or when the user prefers CLI over SDK/MCP.
code-commenterAdd detailed comments explaining WHY code works, its context, edge cases, and performance implications. Use when user mentions "add comments", "document", "explain code", "improve readability", or "maintainability". Supports C++, Python, Java, JavaScript, Go, Rust, SQL.
code-reviewReview code for quality, security, and best practices. Analyze pull requests, identify bugs, suggest improvements, verify error handling, check for security vulnerabilities (XSS, SQL injection, command injection), evaluate design patterns, and assess performance. Use when reviewing pull requests, examining code diffs, evaluating code changes, or analyzing implementation quality.
cosmosdb-datamodelingStep-by-step guide for capturing key application requirements for NoSQL use-case and produce Azure Cosmos DB Data NoSQL Model design using best practices and common patterns, artifacts_produced: "cosmosdb_requirements.md" file and "cosmosdb_data_model.md" file
cosmosdb-datamodelingStep-by-step guide for capturing key application requirements for NoSQL use-case and produce Azure Cosmos DB Data NoSQL Model design using best practices and common patterns, artifacts_produced: "cosmosdb_requirements.md" file and "cosmosdb_data_model.md" file
create-migrationCreate new SQL migration files for multiple database dialects (sqlite3, mysql, postgres, tidb, redshift, clickhouse)
creating-oracle-to-postgres-master-migration-planDiscovers all projects in a .NET solution, classifies each for Oracle-to-PostgreSQL migration eligibility, and produces a persistent master migration plan. Use when starting a multi-project Oracle-to-PostgreSQL migration, creating a migration inventory, or assessing which .NET projects contain Oracle dependencies.
creating-oracle-to-postgres-migration-bug-reportCreates structured bug reports for defects found during Oracle-to-PostgreSQL migration. Use when documenting behavioral differences between Oracle and PostgreSQL as actionable bug reports with severity, root cause, and remediation steps.
creating-oracle-to-postgres-migration-bug-reportCreates structured bug reports for defects found during Oracle-to-PostgreSQL migration. Use when documenting behavioral differences between Oracle and PostgreSQL as actionable bug reports with severity, root cause, and remediation steps.
creating-oracle-to-postgres-migration-integration-testsCreates integration test cases for .NET data access artifacts during Oracle-to-PostgreSQL database migrations. Generates DB-agnostic xUnit tests with deterministic seed data that validate behavior consistency across both database systems. Use when creating integration tests for a migrated project, generating test coverage for data access layers, or writing Oracle-to-PostgreSQL migration validation tests.
cs-demand-gen-specialistDemand generation and acquisition-funnel specialist orchestrating the marketing-demand-acquisition, paid-ads, and email-sequence skills. Use when building or fixing the acquisition engine — e.g., comparing channel CAC against B2B SaaS benchmarks before reallocating a $40k/month budget, scoring paid-ads account health with ad_health_scorer.py before scaling spend, or designing a nurture sequence that must score 70+ on sequence_analyzer.py before launch. Covers channel mix, CAC/ROAS math, MQL→SQL workflows, attribution, and nurture design.
cs-demand-gen-specialistDemand generation and acquisition-funnel specialist orchestrating the marketing-demand-acquisition, paid-ads, and email-sequence skills. Use when building or fixing the acquisition engine — e.g., comparing channel CAC against B2B SaaS benchmarks before reallocating a $40k/month budget, scoring paid-ads account health with ad_health_scorer.py before scaling spend, or designing a nurture sequence that must score 70+ on sequence_analyzer.py before launch. Covers channel mix, CAC/ROAS math, MQL→SQL workflows, attribution, and nurture design.MIT
ctf-webProvides web exploitation techniques for CTF challenges. Use when the target is primarily an HTTP application, API, browser client, template engine, identity flow, or smart-contract frontend/backend surface, including XSS, SQLi, SSTI, SSRF, XXE, JWT, auth bypass, file upload, request smuggling, OAuth/OIDC, SAML, prototype pollution, and similar web bugs. Do not use it for native binary memory corruption, reverse engineering of standalone executables, disk or memory forensics, or pure cryptanalysis unless the web flaw is still the main path to the flag.MIT
data-access-guidelinesDatabase access layer guidelines for Quantum Skincare's Prisma-based data-access library. Covers Prisma schema design, DAO patterns, UUID primary keys, PostgreSQL role-based access control (RBAC), migration workflows, type-safe queries, transaction handling, soft deletes, and testing strategies. Use when working with Prisma schema, DAOs, database migrations, or data access patterns in libs/data-access.
data-access-patternsGuidelines for database interactions using raw SQL and idiomatic Go patterns
data-analyseProduct management data analysis skill for defining metrics, building funnels/cohorts, diagnosing growth/retention, designing experiments, and translating insights into product actions. Use for tasks like metric trees, event taxonomy, dashboard requirements, SQL-style analysis plans, and decision memos.
data-analystUse when the user works with data — writing SQL or spreadsheet formulas, cleaning/transforming data, interpreting results, or planning an analysis. Interprets results in plain language and guards against hallucinated numbers.
data-model-creationOptional advanced tool for complex data modeling. For simple MySQL table creation, use relational-database-tool directly; for PostgreSQL / CloudBase PG schema work, use postgresql-development.
data-podsCreate and manage modular portable database pods (SQLite + metadata + embeddings). Includes document ingestion with embeddings for semantic search. Full automation - just ask.
data-schema-knowledge-modelingCreates rigorous, validated models of entities, relationships, and constraints for database schemas (SQL, NoSQL, graph), knowledge graphs, ontologies, API data models, and taxonomies. Covers relational, document, graph, event/time-series, and dimensional schema patterns with lifecycle modeling, soft deletes, polymorphic associations, and hierarchies. Use when user mentions "schema", "data model", "entities", "relationships", "ontology", "knowledge graph", or when data structures need formalization.
databaseDatabase development and operations workflow covering SQL, NoSQL, database design, migrations, optimization, and data engineering.
databaseDatabase development and operations workflow covering SQL, NoSQL, database design, migrations, optimization, and data engineering.
databaseDatabase development and operations workflow covering SQL, NoSQL, database design, migrations, optimization, and data engineering.
Database DesignExpert guide for database schema design, Supabase/PostgreSQL best practices, RLS policies, and optimizations. Use when designing tables, relationships, or implementing data models.
database-connectDatabase MCP server integration for PostgreSQL, MySQL, MongoDB
database-connection-poolingConfigures and manages database connection pools, with a focus on SQLAlchemy. Use this skill for tasks involving connection pool configuration, sizing, lifecycle management, health checks, and monitoring. It provides specialized guidance for both traditional server-based databases and serverless databases like Neon and PlanetScale.
database-designUse when designing a relational schema — normalization (1NF–3NF), primary key strategy, modelling relationships, naming conventions, or planning a zero-downtime migration with the expand-contract pattern. For writing and tuning queries, indexes, or EXPLAIN ANALYZE, use postgresql.
database-designerUse when the user asks to design database schemas, plan data migrations, optimize queries, choose between SQL and NoSQL, or model data relationships.
database-designerUse when the user asks to design database schemas, plan data migrations, optimize queries, choose between SQL and NoSQL, or model data relationships.MIT
database-designerUse when the user asks to design database schemas, plan data migrations, optimize queries, choose between SQL and NoSQL, or model data relationships.
database-migration-integrity-checkerAudits SQL migration files for destructive actions, potential table locks, and compatibility issues. Use before applying migrations to production databases to prevent downtime and ensure data integrity.
database-migrationsDatabase migration best practices for schema changes, data migrations, rollbacks, and zero-downtime deployments across PostgreSQL, MySQL, and common ORMs (Prisma, Drizzle, Kysely, Django, TypeORM, golang-migrate).
database-migrations-sql-migrationsSQL database migrations with zero-downtime strategies for PostgreSQL, MySQL, and SQL Server. Focus on data integrity and rollback plans.
database-migrations-sql-migrationsSQL database migrations with zero-downtime strategies for PostgreSQL, MySQL, and SQL Server. Focus on data integrity and rollback plans.
database-operationsInstructions on how to write database queries with SQLAlchemy.
database-operationsInstructions on how to write database queries with SQLAlchemy.
databasesDesign schemas, write queries for MongoDB and PostgreSQL. Use for database design, SQL/NoSQL queries, aggregation pipelines, indexes, migrations, replication, performance optimization, psql CLI.MIT
datasette-pluginsWriting Datasette plugins using Python and the pluggy plugin system. Use when Claude needs to: (1) Create a new Datasette plugin, (2) Implement plugin hooks like prepare_connection, register_routes, render_cell, etc., (3) Add custom SQL functions, (4) Create custom output renderers, (5) Add authentication or permissions logic, (6) Extend Datasette's UI with menus, actions, or templates, (7) Package a plugin for distribution on PyPI
db-migrateCreates a database migration using Drizzle. Use this EVERY TIME you need to modify the database schema. Walks through the complete workflow including generating migration, writing SQL, running it locally, and committing ALL required files.
db-migration-checkVerify that SQLAlchemy model changes have corresponding Alembic migration files. Trigger when any file under models/*.py or models/**/*.py is modified — checks git diff for model changes and confirms matching alembic/versions/*.py files exist, failing if a service has model changes without a migration.
ddia-systemsDesign data systems by understanding storage engines, replication, partitioning, transactions, and consistency models. Use when the user mentions "database choice", "which database should I use", "SQL or NoSQL", "replication lag", "partitioning strategy", "consistency vs availability", "stream processing", "ACID transactions", "eventual consistency", "my queries are slow at scale", or "data is inconsistent across replicas". Also trigger when choosing a datastore, designing data pipelines, or debugging distributed-system consistency issues. Covers data models, batch/stream processing, and distributed consensus. For system design, see system-design. For resilience, see release-it.MIT
deploying-to-railwayDeploy Python services to Railway with PostgreSQL/pgvector. Use when deploying web services, workers, or databases. Covers CLI workflow, variable linking, and multi-service patterns.
detecting-security-vulnerabilitiesScans code for security vulnerabilities and unsafe patterns. Use when the user asks about security, mentions OWASP, credentials, secrets, XSS, SQL injection, or wants to audit code for threats.
detecting-sql-injection-patterns|MIT
detecting-sql-injection-vulnerabilitiesDetect and analyze SQL injection vulnerabilities in application codeMIT
drizzle-ormDrizzle ORM for TypeScript - type-safe SQL queries, schema definitions, migrations, and relations. Use when building database layers in Next.js or Node.js applications.
dummy-datasetGenerate realistic dummy datasets for testing with customizable columns, constraints, and output formats (CSV, JSON, SQL, Python script). Use when creating test data, building mock datasets, or generating sample data for development and demos.
efcore-d2-db-diagramGenerate D2 database diagrams from Entity Framework Core models. USE FOR: EF Core database diagram, Entity Framework Core ERD, DbContext diagram, C# entity relationship diagram, PostgreSQL schema visualization, generate .d2 file from EF Core entities, Fluent API mapping diagram, migrations-based database diagram, table relationships, owned types, many-to-many join tables, indexes and constraints. DO NOT USE FOR: runtime debugging, database migration execution, schema deployment, SQL performance tuning, or draw.io diagrams.
etf-three-factor-v7🛡️ 三因子ETF国家队资金监测系统 v7 — 追踪国家队（中央汇金）ETF操作信号。全新数据源（akshare交易所官方数据）、完整历史回溯、一键分析+邮件。支持：① 数据获取（腾讯财经K线 + akshare上交所/深交所份额）② 本地SQLite存档 ③ 三因子分析（量能P50% + 方向P20% + 份额P30%）④ HTML可视化报告 ⑤ 邮件发送（支持QQ邮箱/任意SMTP）。当用户需要运行ETF三因子分析、查询国家队信号、查看每日监测报告、或设置定时任务时使用。
ezorm-skillsEntry point for ezorm repo skills. Use to pick the right skill based on task (write YAML vs generate code, and mongo vs mysql/mysqlr).
fabric-lakehouseMicrosoft Fabric Lakehouse — features, SQL endpoint, Delta tables, AI functions context
fastapi-proBuild high-performance async APIs with FastAPI, SQLAlchemy 2.0, and Pydantic V2. Master microservices, WebSockets, and modern Python async patterns.
fastapi-proBuild high-performance async APIs with FastAPI, SQLAlchemy 2.0, and Pydantic V2. Master microservices, WebSockets, and modern Python async patterns.
fastapi-proBuild high-performance async APIs with FastAPI, SQLAlchemy 2.0, and Pydantic V2. Master microservices, WebSockets, and modern Python async patterns.
fastapi-proBuild high-performance async APIs with FastAPI, SQLAlchemy 2.0, and Pydantic V2. Master microservices, WebSockets, and modern Python async patterns.
fastapi-proBuild high-performance async APIs with FastAPI, SQLAlchemy 2.0, and Pydantic V2. Master microservices, WebSockets, and modern Python async patterns.
fastapi-proBuild high-performance async APIs with FastAPI, SQLAlchemy 2.0, and Pydantic V2. Master microservices, WebSockets, and modern Python async patterns.
fastapi-proBuild high-performance async APIs with FastAPI, SQLAlchemy 2.0, and Pydantic V2. Master microservices, WebSockets, and modern Python async patterns.
fastapi-proBuild high-performance async APIs with FastAPI, SQLAlchemy 2.0, and Pydantic V2. Master microservices, WebSockets, and modern Python async patterns.
fastapi-proBuild high-performance async APIs with FastAPI, SQLAlchemy 2.0, and Pydantic V2. Master microservices, WebSockets, and modern Python async patterns.
fastapi-productionProduction-grade FastAPI patterns for async APIs, SQLAlchemy 2.0, Pydantic v2, and robust error handling. Use when building API endpoints, handling database operations, implementing middleware, or optimizing performance.
flux-migrateBuild zero-downtime database migrations — forward SQL, rollback SQL, deployment sequence. Use when asked to "write migration", "schema change", "add column", "rename table", "drop column", or "migrate safely".MIT
flux-queryOptimize slow database queries — analyze execution plans, add indexes, rewrite queries. Use when asked about "slow query", "optimize SQL", "query performance", or "explain this query".MIT
framework-fastapi-expertUse when the user asks to work on a Python FastAPI project. Triggers on keywords Python, FastAPI, Pydantic, SQLAlchemy.
gcp-cloud-architectDesign GCP architectures for startups and enterprises. Use when asked to design Google Cloud infrastructure, deploy to GKE or Cloud Run, configure BigQuery pipelines, optimize GCP costs, or migrate to GCP. Covers Cloud Run, GKE, Cloud Functions, Cloud SQL, BigQuery, and cost optimization.
gcp-cloud-architectDesign GCP architectures for startups and enterprises. Use when asked to design Google Cloud infrastructure, deploy to GKE or Cloud Run, configure BigQuery pipelines, optimize GCP costs, or migrate to GCP. Covers Cloud Run, GKE, Cloud Functions, Cloud SQL, BigQuery, and cost optimization.
gcp-cloud-architectDesign GCP architectures for startups and enterprises. Use when asked to design Google Cloud infrastructure, deploy to GKE or Cloud Run, configure BigQuery pipelines, optimize GCP costs, or migrate to GCP. Covers Cloud Run, GKE, Cloud Functions, Cloud SQL, BigQuery, and cost optimization.MIT
generate-validation-notebookGenerate SQL validation notebooks for dbt changes. Pass a GitHub PR URL or local dbt repo path.
gh-sqlUse this skill when the user wants to query github projects and repositories with sql syntax.
golem-add-ignite-tsUsing golem:rdbms/ignite2 from a TypeScript Golem agent. Use when the user asks to connect to Apache Ignite 2, run SQL over Ignite, or use Ignite from TypeScript agent code.
health-dataQuery Apple Health SQLite database for vitals, activity, sleep, and workouts. Supports Markdown, JSON, and FHIR R4 output formats. This skill should be used when analyzing health metrics, generating health reports, answering questions about fitness or sleep patterns, or exporting health data in standard formats.
hugging-face-datasetsCreate and manage datasets on Hugging Face Hub. Supports initializing repos, defining configs/system prompts, streaming row updates, and SQL-based dataset querying/transformation. Designed to work alongside HF MCP server for comprehensive dataset workflows.
hugging-face-datasetsCreate and manage datasets on Hugging Face Hub. Supports initializing repos, defining configs/system prompts, streaming row updates, and SQL-based dataset querying/transformation. Designed to work alongside HF MCP server for comprehensive dataset workflows.
hula-skillHuLa project skill for frontend (Vue 3 + Vite + UnoCSS + Naive UI/Vant), backend (Tauri v2 + Rust + SeaORM/SQLite), full-stack flows, and build/release work. Use when the user mentions hula or HuLa or requests changes in this repository; after triggering, ask which scope (frontend/backend/fullstack/build-release) to enable.
index-dirRecursively index a directory of local Scopus RIS/CSV exports and PDF files into PostgreSQL/pgvector. Use when the user invokes `$index-dir` or asks to index a folder/directory into a local collection.
init-tauri-appScaffold a new Tauri v2 project with the cenno/cull house conventions — delegates boilerplate to `npm create tauri-app`, then layers an opinionated core plus opt-in modules (CLI+MCP, SQLite, tray/updater, release/preflight, Swift sidecar). Use when the user wants to start a new Tauri desktop app, "init a tauri project", or "scaffold a tauri app".
junta-leiloeirosColeta e consulta dados de leiloeiros oficiais de todas as 27 Juntas Comerciais do Brasil. Scraper multi-UF, banco SQLite, API FastAPI e exportacao CSV/JSON.
junta-leiloeirosColeta e consulta dados de leiloeiros oficiais de todas as 27 Juntas Comerciais do Brasil. Scraper multi-UF, banco SQLite, API FastAPI e exportacao CSV/JSON.
lens-dashboardDesign and spec an analytical dashboard — define the question each chart answers, write the SQL queries, spec the layout and refresh cadence. Produces a complete dashboard spec ready to implement. Use when asked to "build a dashboard", "analytics dashboard", "BI dashboard", "weekly product health", or "visualize this data".MIT
lens-metricsProduce a complete metrics definition doc — metric name, formula, data source, segmentation, SQL or event tracking spec, and what good/bad looks like. Given a product area, outputs the full metrics spec. Use when asked to "define KPIs", "metrics framework", "what should we measure", "north star metric", or "instrument this feature".MIT
lens-reportBuild a reporting pipeline — scheduled reports with SQL queries, delivery via Slack or email, threshold alerts, and historical comparison. Use when asked for "automated reports", "scheduled report", "email digest", or "Slack alerts for metrics".MIT
llm-dash-updateUse this skill to perform the daily LLM-Dash dashboard update. Research new LLM releases and benchmark updates (Exa preferred) since the last recorded changelog, apply a structured diff to data/dash.sqlite, write changelogs/YYYY-MM-DD.md with a required Run Metadata footer, and record run metadata (tokens, cost, duration, word count) in the run_metrics table + data/run_metrics.csv.
m4-apiUse the M4 Python API to query clinical datasets (MIMIC-IV, eICU) programmatically. Triggers on "M4 API", "query MIMIC with Python", "clinical data analysis", "EHR data", "execute SQL on MIMIC", or when writing code to access clinical databases.
marketing-demand-acquisitionCreates demand generation campaigns, optimizes paid ad spend across LinkedIn, Google, and Meta, develops SEO strategies, and structures partnership programs. Use when planning demand gen strategy, growth marketing, advertising campaigns, PPC optimization, lead generation, pipeline generation, or marketing budgets. Covers multi-channel acquisition (Google Ads, LinkedIn Ads, Meta Ads), CAC analysis, MQL/SQL workflows, attribution modeling, technical SEO, and co-marketing partnerships. Default calibration profile is a Series A+ B2B SaaS scaling internationally (EU/US/Canada, hybrid PLG/Sales-Led) — adapt benchmarks for other stages and motions rather than skipping the skill.
marketing-demand-acquisitionCreates demand generation campaigns, optimizes paid ad spend across LinkedIn, Google, and Meta, develops SEO strategies, and structures partnership programs. Use when planning demand gen strategy, growth marketing, advertising campaigns, PPC optimization, lead generation, pipeline generation, or marketing budgets. Covers multi-channel acquisition (Google Ads, LinkedIn Ads, Meta Ads), CAC analysis, MQL/SQL workflows, attribution modeling, technical SEO, and co-marketing partnerships. Default calibration profile is a Series A+ B2B SaaS scaling internationally (EU/US/Canada, hybrid PLG/Sales-Led) — adapt benchmarks for other stages and motions rather than skipping the skill.MIT
marketing-demand-acquisitionCreates demand generation campaigns, optimizes paid ad spend across LinkedIn, Google, and Meta, develops SEO strategies, and structures partnership programs. Use when planning demand gen strategy, growth marketing, advertising campaigns, PPC optimization, lead generation, pipeline generation, or marketing budgets. Covers multi-channel acquisition (Google Ads, LinkedIn Ads, Meta Ads), CAC analysis, MQL/SQL workflows, attribution modeling, technical SEO, and co-marketing partnerships. Default calibration profile is a Series A+ B2B SaaS scaling internationally (EU/US/Canada, hybrid PLG/Sales-Led) — adapt benchmarks for other stages and motions rather than skipping the skill.
medcodex-fillerBefüllt MedCodex-Fachbereichs-Module automatisch mit medizinischen Kürzeln. Lädt Neurologie, Radiologie, Kardiologie etc. in die SQLite-DB. Nutze diesen Skill wenn du einen neuen Fachbereich zum Codex hinzufügen willst oder bestehende Module erweitern möchtest.
migrating-oracle-to-postgres-stored-proceduresMigrates Oracle PL/SQL stored procedures to PostgreSQL PL/pgSQL. Translates Oracle-specific syntax, preserves method signatures and type-anchored parameters, leverages orafce where appropriate, and applies COLLATE "C" for Oracle-compatible text sorting. Use when converting Oracle stored procedures or functions to PostgreSQL equivalents during a database migration.
migrating-oracle-to-postgres-stored-proceduresMigrates Oracle PL/SQL stored procedures to PostgreSQL PL/pgSQL. Translates Oracle-specific syntax, preserves method signatures and type-anchored parameters, leverages orafce where appropriate, and applies COLLATE "C" for Oracle-compatible text sorting. Use when converting Oracle stored procedures or functions to PostgreSQL equivalents during a database migration.
migrating-sql-to-dbt|
migrating-sql-to-dbt|
moai-lang-rustRust 1.92+ development specialist covering Axum, Tokio, SQLx, and memory-safe systems programming. Use when building high-performance, memory-safe applications or WebAssembly.
modeling-nosql-dataBuild use when you need to work with NoSQL data modeling.MIT
monte-carlo-preventSurfaces Monte Carlo data observability context (table health, alerts, lineage, blast radius) before SQL/dbt edits.
monte-carlo-preventSurfaces Monte Carlo data observability context (table health, alerts, lineage, blast radius) before SQL/dbt edits.
monte-carlo-preventSurfaces Monte Carlo data observability context (table health, alerts, lineage, blast radius) before SQL/dbt edits.
monte-carlo-validation-notebookGenerates SQL validation notebooks for dbt PR changes with before/after comparison queries.
monte-carlo-validation-notebookGenerates SQL validation notebooks for dbt PR changes with before/after comparison queries.
monte-carlo-validation-notebookGenerates SQL validation notebooks for dbt PR changes with before/after comparison queries.
multigresUse this skill when the user wants to use vitess for postgres — distributed postgresql at scale.
mysqlProvides comprehensive guidance for MySQL database including SQL syntax, data types, indexes, transactions, stored procedures, and optimization. Use when the user asks about MySQL, needs to write SQL queries, design database schemas, optimize MySQL performance, or work with MySQL features.licensed
mysqlProvides comprehensive guidance for MySQL database including SQL syntax, data types, indexes, transactions, stored procedures, and optimization. Use when the user asks about MySQL, needs to write SQL queries, design database schemas, optimize MySQL performance, or work with MySQL features.licensed
MySql_skill
MySql_skill
MySql_skill
MySql_skill
MySql_skill
MySql_skill
MySql_skill
mysql-best-practicesMySQL development best practices for schema design, query optimization, and database administration
mysql-best-practicesMySQL development best practices for schema design, query optimization, and database administration
mysqloptimizeUse this skill when the user wants to use mysqloptimize, cli tool: mysqloptimize.
nextjs-chatbotAdvanced patterns for production Next.js web chatbots built with AI SDK 6 + ai-elements. Covers tool calling with human-in-the-loop (HITL) approval, PostgreSQL session persistence, GDPR consent gating, SQL-first search, per-tool UI rendering, popup widget embedding, message feedback, follow-up suggestions, scope enforcement, and evals. Use when building a customer support bot, conversational interface, or any web chatbot needing tool approval, database sessions, or custom tool output components. Not a scaffolding tool — use `/ai-app` to scaffold from scratch, `/ai-sdk-6` for general SDK questions, `/ai-elements` for chat UI components, `/vercel:chat-sdk` for multi-platform (Slack/Teams/Discord) bots.
nosql-expertExpert guidance for distributed NoSQL databases (Cassandra, DynamoDB). Focuses on mental models, query-first modeling, single-table design, and avoiding hot partitions in high-scale systems.
nosql-expertExpert guidance for distributed NoSQL databases (Cassandra, DynamoDB). Focuses on mental models, query-first modeling, single-table design, and avoiding hot partitions in high-scale systems.
nosql-expertExpert guidance for distributed NoSQL databases (Cassandra, DynamoDB). Focuses on mental models, query-first modeling, single-table design, and avoiding hot partitions in high-scale systems.
notcrawlNotion archive: desktop/API sync, Markdown export, page search, read-only SQL.
odoo-docker-deploymentProduction-ready Docker and docker-compose setup for Odoo with PostgreSQL, persistent volumes, environment-based configuration, and Nginx reverse proxy.
odoo-docker-deploymentProduction-ready Docker and docker-compose setup for Odoo with PostgreSQL, persistent volumes, environment-based configuration, and Nginx reverse proxy.
odoo-docker-deploymentProduction-ready Docker and docker-compose setup for Odoo with PostgreSQL, persistent volumes, environment-based configuration, and Nginx reverse proxy.
odoo-performance-tunerExpert guide for diagnosing and fixing Odoo performance issues: slow queries, worker configuration, memory limits, PostgreSQL tuning, and profiling tools.
odoo-performance-tunerExpert guide for diagnosing and fixing Odoo performance issues: slow queries, worker configuration, memory limits, PostgreSQL tuning, and profiling tools.
odoo-performance-tunerExpert guide for diagnosing and fixing Odoo performance issues: slow queries, worker configuration, memory limits, PostgreSQL tuning, and profiling tools.
odoo-performance-tunerExpert guide for diagnosing and fixing Odoo performance issues: slow queries, worker configuration, memory limits, PostgreSQL tuning, and profiling tools.
oms-kafka-performance标准 SOP：OceanBase 社区版经 OMS 同步至 Kafka 的延迟、吞吐与调优。涵盖全量/增量并发与限速、KafkaSink、OMS 平台 limitator 与 JVM、源端 OB 与表结构策略；与 observer 日志、OBProxy、单条 SQL 深查 skill 分工明确。
opensourcefaq解答与开源产品有关的深度技术问题，输出图文并茂的 Markdown 技术文章。触发条件：用户提出与开源项目（如 PostgreSQL、Redis、Kafka、Kubernetes、ClickHouse、Flink 等）相关的技术问题，并提供源码目录或 URL、deepwiki repo 名称。即使用户只说"帮我解答这个开源问题"或"分析一下这个项目的某个机制"，也应使用本 skill。输出文章保存到项目 markdown/ 目录，要求直击问题、图文并茂、有实操细节和原理分析。
optimizing-sql-queriesExecute use when you need to work with query optimization.MIT
OWASP ZAP Security ScannerAutomated web application security scanning using OWASP ZAP for finding XSS, SQL injection, CSRF, and other OWASP Top 10 vulnerabilities.MIT
persistence-layer-auditAudit SQLite persistence layer for unused tables and broken integrations. Trigger when: (1) checking database usage, (2) cleaning up schema, (3) finding missing methods.
planetscalePlanetScale serverless MySQL with branching. Use for scalable MySQL.
planning-oracle-to-postgres-migration-integration-testingCreates an integration testing plan for .NET data access artifacts during Oracle-to-PostgreSQL database migrations. Analyzes a single project to identify repositories, DAOs, and service layers that interact with the database, then produces a structured testing plan. Use when planning integration test coverage for a migrated project, identifying which data access methods need tests, or preparing for Oracle-to-PostgreSQL migration validation.
planning-oracle-to-postgres-migration-integration-testingCreates an integration testing plan for .NET data access artifacts during Oracle-to-PostgreSQL database migrations. Analyzes a single project to identify repositories, DAOs, and service layers that interact with the database, then produces a structured testing plan. Use when planning integration test coverage for a migrated project, identifying which data access methods need tests, or preparing for Oracle-to-PostgreSQL migration validation.
postgresPostgreSQL database management. Run queries, manage schemas, and monitor performance.
postgresPostgreSQL database management. Run queries, manage schemas, and monitor performance.
postgresPostgreSQL database management. Run queries, manage schemas, and monitor performance.
postgres-mcpOfficial PostgreSQL Model Context Protocol Server for database interaction.
postgres-patternsPostgreSQL database patterns for query optimization, schema design, indexing, and security. Based on Supabase best practices.
postgres-patternsPostgreSQL database patterns for query optimization, schema design, indexing, and security. Based on Supabase best practices.
postgres-patternsPostgreSQL database patterns for query optimization, schema design, indexing, and security. Based on Supabase best practices.
postgres-patternsPostgreSQL database patterns for query optimization, schema design, indexing, and security. Based on Supabase best practices.
postgresqlDesign a PostgreSQL-specific schema. Covers best-practices, data types, indexing, constraints, performance patterns, and advanced features
postgresqlDesign a PostgreSQL-specific schema. Covers best-practices, data types, indexing, constraints, performance patterns, and advanced features
postgresqlDesign a PostgreSQL-specific schema. Covers best-practices, data types, indexing, constraints, performance patterns, and advanced features
postgresql-backupPostgreSQL backup and recovery - pg_dump, pg_basebackup, PITR
postgresql-code-reviewPostgreSQL-specific code review assistant focusing on PostgreSQL best practices, anti-patterns, and unique quality standards. Covers JSONB operations, array usage, custom types, schema design, function optimization, and PostgreSQL-exclusive security features like Row Level Security (RLS).
postgresql-code-review
postgresql-optimizationPostgreSQL database optimization workflow for query tuning, indexing strategies, performance analysis, and production database management.
postgresql-optimizationPostgreSQL-specific development assistant focusing on unique PostgreSQL features, advanced data types, and PostgreSQL-exclusive capabilities. Covers JSONB operations, array types, custom types, range/geometric types, full-text search, window functions, and PostgreSQL extensions ecosystem.
postgresql-optimization
postgresql-optimizationPostgreSQL database optimization workflow for query tuning, indexing strategies, performance analysis, and production database management.
postgresql-optimizationPostgreSQL database optimization workflow for query tuning, indexing strategies, performance analysis, and production database management.
postgresql-table-designUse this skill when designing or reviewing a PostgreSQL-specific schema. Covers best-practices, data types, indexing, constraints, performance patterns, and advanced features
postgresql-table-designUse this skill when designing or reviewing a PostgreSQL-specific schema. Covers best-practices, data types, indexing, constraints, performance patterns, and advanced features
postgresql-table-designUse this skill when designing or reviewing a PostgreSQL-specific schema. Covers best-practices, data types, indexing, constraints, performance patterns, and advanced featuresMIT
pp-lemonsqueezyEvery Lemon Squeezy resource, plus a local SQLite mirror that surfaces MRR, churn, license seats, and discount-campaign pace. Trigger phrases: `check Lemon Squeezy revenue`, `show MRR trend`, `what subscriptions churned this week`, `find failed renewals`, `audit Lemon Squeezy webhooks`, `track Founding-Member sale capacity`, `disable license keys for refunded order`, `use lemonsqueezy`, `run lemonsqueezy-pp-cli`.Apache-2.0
pp-slickdealsSlickdeals live RSS surface (hot deals, frontpage, search, category, coupons) plus local-snapshot transcendence (watch/digest/deals/analytics) — agent-native, MCP-compatible, SQLite-backed. Trigger phrases: `slickdeals frontpage`, `slickdeals hot deals`, `slickdeals missed deals`, `slickdeals coupons`, `slickdeals category`, `use slickdeals-pp-cli`, `run slickdeals`.Apache-2.0
printing-ecommercePHP 7.4 + MySQL 기반 인쇄 전자상거래 플랫폼(dsp1830.shop) 개발 가이드. 9개 품목(스티커, 전단지, 명함, 봉투, 카달로그, 포스터, 상품권, 자석스티커, 양식지), 실시간 가격계산기, 교정승인 시스템, KB에스크로 결제를 지원. 이 스킬은 (1) 레이아웃/UI 일관성 문제 해결, (2) 장바구니→주문→완료 플로우 개발, (3) 가격계산기 로직 수정, (4) 추가옵션(코팅/접지/오시) 처리, (5) 견적서 시스템 구현, (6) 관리자 대시보드 개발 시 사용.
printing-ecommercePHP 7.4 + MySQL 기반 인쇄 전자상거래 플랫폼(dsp1830.shop) 개발 가이드. 9개 품목(스티커, 전단지, 명함, 봉투, 카달로그, 포스터, 상품권, 자석스티커, 양식지), 실시간 가격계산기, 교정승인 시스템, KB에스크로 결제를 지원. 이 스킬은 (1) 레이아웃/UI 일관성 문제 해결, (2) 장바구니→주문→완료 플로우 개발, (3) 가격계산기 로직 수정, (4) 추가옵션(코팅/접지/오시) 처리, (5) 견적서 시스템 구현, (6) 관리자 대시보드 개발 시 사용.
prisma-expertYou are an expert in Prisma ORM with deep knowledge of schema design, migrations, query optimization, relations modeling, and database operations across PostgreSQL, MySQL, and SQLite.
prisma-expertYou are an expert in Prisma ORM with deep knowledge of schema design, migrations, query optimization, relations modeling, and database operations across PostgreSQL, MySQL, and SQLite.
python-fastapiComplete FastAPI production system. PROACTIVELY activate for: (1) Project structure (scalable layout), (2) Pydantic schemas (input/output separation), (3) Dependency injection, (4) Async database with SQLAlchemy, (5) JWT authentication, (6) Error handling patterns, (7) Docker deployment, (8) Gunicorn + Uvicorn production, (9) Rate limiting, (10) Testing with httpx. Provides: Project templates, schema patterns, auth setup, Docker config. Ensures production-ready FastAPI applications.
python-fastapi-developmentPython FastAPI backend development with async patterns, SQLAlchemy, Pydantic, authentication, and production API patterns.
python-fastapi-developmentPython FastAPI backend development with async patterns, SQLAlchemy, Pydantic, authentication, and production API patterns.
query-builderBuild optimized and safe SQL queries for Protheus tables. Automatically includes mandatory filters (D_E_L_E_T_, branch), suggests appropriate indexes from SIX patterns, generates both Embedded SQL (preferring FWExecStatement) and Workarea (DBSelectArea/DBSeek) versions, and warns about common Protheus SQL pitfalls. Use when user says 'build query', 'SQL for Protheus table', 'FWExecStatement', 'TCQuery', 'Workarea vs SQL'.MIT
redshift-apiRun SQL against Amazon Redshift — submit statements, poll status, page through results, and browse databases/schemas/tables. Use this whenever the user wants to query Redshift (provisioned cluster or Serverless), ask "what tables are in this schema", check a query's status, or mentions `redshift-data`, a Redshift cluster identifier / workgroup name, or a `redshift-data.{region}.amazonaws.com` endpoint. Always start from this skill when interacting with this service — its bundled scripts and recipes are the fastest path.
replit-core-workflow-aBuild a full-stack web app on Replit with Express/Flask, PostgreSQL,MIT
replit-data-handlingImplement secure data handling on Replit: PostgreSQL, KV Database, ObjectMIT
reviewing-oracle-to-postgres-migrationIdentifies Oracle-to-PostgreSQL migration risks by cross-referencing code against known behavioral differences (empty strings, refcursors, type coercion, sorting, timestamps, concurrent transactions, etc.). Use when planning a database migration, reviewing migration artifacts, or validating that integration tests cover Oracle/PostgreSQL differences.
rust-sqlite-cli-architectureRun rust sqlite CLI architecture.
saas-multi-tenantDesign and implement multi-tenant SaaS architectures with row-level security, tenant-scoped queries, shared-schema isolation, and safe cross-tenant admin patterns in PostgreSQL and TypeScript.
saas-multi-tenantDesign and implement multi-tenant SaaS architectures with row-level security, tenant-scoped queries, shared-schema isolation, and safe cross-tenant admin patterns in PostgreSQL and TypeScript.
sankhya-dashboard-html-jsp-custom-best-praticesThis skill should be used when the user asks for patterns, best practices, creation, or fixing of Sankhya dashboards using HTML, JSP, Java, and SQL.
sankhya-dashboard-html-jsp-custom-best-praticesThis skill should be used when the user asks for patterns, best practices, creation, or fixing of Sankhya dashboards using HTML, JSP, Java, and SQL.
scaffolding-oracle-to-postgres-migration-test-projectScaffolds an xUnit integration test project for validating Oracle-to-PostgreSQL database migration behavior in .NET solutions. Creates the test project, transaction-rollback base class, and seed data manager. Use when setting up test infrastructure before writing migration integration tests, or when a test project is needed for Oracle-to-PostgreSQL validation.
securityApplication 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.
security-fuzzingEssential fuzzing payloads: SQL injection, command injection, special characters. Curated essentials for vulnerability testing.
security-guidancePreToolUse security-anti-pattern hook for Claude Code. Catches 12 common security risks (command injection, XSS, SQL injection, unsafe deserialization, GitHub Actions workflow injection, eval/new Function code injection) BEFORE the Edit/Write/MultiEdit operation completes. Session-state caching prevents duplicate warnings on the same file+rule combo. Stdlib only — no dependencies. Use when you want a safety net during Claude Code sessions that touch security-sensitive code (auth, payments, user input handling, IaC). Disable with ENABLE_SECURITY_REMINDER=0 if you need to perform a verified-safe operation that would otherwise trip a pattern. Triggers — "add security hook", "block unsafe code", "detect command injection before write", "prevent SQL injection patterns", "security warning hook".
security-guidancePreToolUse security-anti-pattern hook for Claude Code. Catches 12 common security risks (command injection, XSS, SQL injection, unsafe deserialization, GitHub Actions workflow injection, eval/new Function code injection) BEFORE the Edit/Write/MultiEdit operation completes. Session-state caching prevents duplicate warnings on the same file+rule combo. Stdlib only — no dependencies. Use when you want a safety net during Claude Code sessions that touch security-sensitive code (auth, payments, user input handling, IaC). Disable with ENABLE_SECURITY_REMINDER=0 if you need to perform a verified-safe operation that would otherwise trip a pattern. Triggers — "add security hook", "block unsafe code", "detect command injection before write", "prevent SQL injection patterns", "security warning hook".
security-guidancePreToolUse security-anti-pattern hook for Claude Code. Catches 12 common security risks (command injection, XSS, SQL injection, unsafe deserialization, GitHub Actions workflow injection, eval/new Function code injection) BEFORE the Edit/Write/MultiEdit operation completes. Session-state caching prevents duplicate warnings on the same file+rule combo. Stdlib only — no dependencies. Use when you want a safety net during Claude Code sessions that touch security-sensitive code (auth, payments, user input handling, IaC). Disable with ENABLE_SECURITY_REMINDER=0 if you need to perform a verified-safe operation that would otherwise trip a pattern. Triggers — "add security hook", "block unsafe code", "detect command injection before write", "prevent SQL injection patterns", "security warning hook".MIT
security-reviewAI-powered codebase security scanner that reasons about code like a security researcher — tracing data flows, understanding component interactions, and catching vulnerabilities that pattern-matching tools miss. Use this skill when asked to scan code for security vulnerabilities, find bugs, check for SQL injection, XSS, command injection, exposed API keys, hardcoded secrets, insecure dependencies, access control issues, or any request like "is my code secure?", "review for security issues", "audit this codebase", or "check for vulnerabilities". Covers injection flaws, authentication and access control bugs, secrets exposure, weak cryptography, insecure dependencies, and business logic issues across JavaScript, TypeScript, Python, Java, PHP, Go, Ruby, and Rust.
senior-backendDesigns and implements backend systems including REST APIs, microservices, database architectures, authentication flows, and security hardening. Use when the user asks to "design REST APIs", "optimize database queries", "implement authentication", "build microservices", "review backend code", "set up GraphQL", "handle database migrations", or "load test APIs". Covers Node.js/Express/Fastify development, PostgreSQL optimization, API security, and backend architecture patterns.
senior-backendDesigns and implements backend systems including REST APIs, microservices, database architectures, authentication flows, and security hardening. Use when the user asks to "design REST APIs", "optimize database queries", "implement authentication", "build microservices", "review backend code", "set up GraphQL", "handle database migrations", or "load test APIs". Covers Node.js/Express/Fastify development, PostgreSQL optimization, API security, and backend architecture patterns.
senior-backendDesigns and implements backend systems including REST APIs, microservices, database architectures, authentication flows, and security hardening. Use when the user asks to "design REST APIs", "optimize database queries", "implement authentication", "build microservices", "review backend code", "set up GraphQL", "handle database migrations", or "load test APIs". Covers Node.js/Express/Fastify development, PostgreSQL optimization, API security, and backend architecture patterns.MIT
senior-backendGuides backend system development with Node.js, Express, Go, Python, PostgreSQL, GraphQL, and REST APIs. Use when the user says: 'design an API', 'optimize database queries', 'implement authentication', 'set up backend', 'create API endpoint', 'database migration', 'fix N+1 query', 'add rate limiting', 'backend code review'. Covers API scaffolding, database optimization, security implementation, and performance tuning. Do NOT use for frontend/UI work (use senior-fullstack), test writing (use tdd-workflow), or changelog generation.
senior-backendDesigns and implements backend systems including REST APIs, microservices, database architectures, authentication flows, and security hardening. Use when the user asks to "design REST APIs", "optimize database queries", "implement authentication", "build microservices", "review backend code", "set up GraphQL", "handle database migrations", or "load test APIs". Covers Node.js/Express/Fastify development, PostgreSQL optimization, API security, and backend architecture patterns.
senior-data-engineerData engineering skill for building scalable data pipelines, ETL/ELT systems, and data infrastructure. Expertise in Python, SQL, Spark, Airflow, dbt, Kafka, and modern data stack. Includes data modeling, pipeline orchestration, data quality, and DataOps. Use when designing data architectures, building data pipelines, optimizing data workflows, implementing data governance, or troubleshooting data issues.
senior-data-engineerData engineering skill for building scalable data pipelines, ETL/ELT systems, and data infrastructure. Expertise in Python, SQL, Spark, Airflow, dbt, Kafka, and modern data stack. Includes data modeling, pipeline orchestration, data quality, and DataOps. Use when designing data architectures, building data pipelines, optimizing data workflows, implementing data governance, or troubleshooting data issues.
senior-data-engineerData engineering skill for building scalable data pipelines, ETL/ELT systems, and data infrastructure. Expertise in Python, SQL, Spark, Airflow, dbt, Kafka, and modern data stack. Includes data modeling, pipeline orchestration, data quality, and DataOps. Use when designing data architectures, building data pipelines, optimizing data workflows, implementing data governance, or troubleshooting data issues.MIT
senior-data-engineerWorld-class data engineering skill for building scalable data pipelines, ETL/ELT systems, real-time streaming, and data infrastructure. Expertise in Python, SQL, Spark, Airflow, dbt, Kafka, Flink, Kinesis, and modern data stack. Includes data modeling, pipeline orchestration, data quality, streaming quality monitoring, and DataOps. Use when designing data architectures, building batch or streaming data pipelines, optimizing data workflows, or implementing data governance.MIT
senior-data-engineerWorld-class data engineering skill for building scalable data pipelines, ETL/ELT systems, real-time streaming, and data infrastructure. Expertise in Python, SQL, Spark, Airflow, dbt, Kafka, Flink, Kinesis, and modern data stack. Includes data modeling, pipeline orchestration, data quality, streaming quality monitoring, and DataOps. Use when designing data architectures, building batch or streaming data pipelines, optimizing data workflows, or implementing data governance.MIT
senior-data-scientistWorld-class senior data scientist skill specialising in statistical modeling, experiment design, causal inference, and predictive analytics. Covers A/B testing (sample sizing, two-proportion z-tests, Bonferroni correction), difference-in-differences, feature engineering pipelines (Scikit-learn, XGBoost), cross-validated model evaluation (AUC-ROC, AUC-PR, SHAP), and MLflow experiment tracking — using Python (NumPy, Pandas, Scikit-learn), R, and SQL. Use when designing or analysing controlled experiments, building and evaluating classification or regression models, performing causal analysis on observational data, engineering features for structured tabular datasets, or translating statistical findings into data-driven business decisions.
senior-data-scientistWorld-class senior data scientist skill specialising in statistical modeling, experiment design, causal inference, and predictive analytics. Covers A/B testing (sample sizing, two-proportion z-tests, Bonferroni correction), difference-in-differences, feature engineering pipelines (Scikit-learn, XGBoost), cross-validated model evaluation (AUC-ROC, AUC-PR, SHAP), and MLflow experiment tracking — using Python (NumPy, Pandas, Scikit-learn), R, and SQL. Use when designing or analysing controlled experiments, building and evaluating classification or regression models, performing causal analysis on observational data, engineering features for structured tabular datasets, or translating statistical findings into data-driven business decisions.
senior-data-scientistWorld-class senior data scientist skill specialising in statistical modeling, experiment design, causal inference, and predictive analytics. Covers A/B testing (sample sizing, two-proportion z-tests, Bonferroni correction), difference-in-differences, feature engineering pipelines (Scikit-learn, XGBoost), cross-validated model evaluation (AUC-ROC, AUC-PR, SHAP), and MLflow experiment tracking — using Python (NumPy, Pandas, Scikit-learn), R, and SQL. Use when designing or analysing controlled experiments, building and evaluating classification or regression models, performing causal analysis on observational data, engineering features for structured tabular datasets, or translating statistical findings into data-driven business decisions.MIT
SKILLSupabase and PostgreSQL expert. Designs schemas, RLS policies, edge functions, real-time subscriptions and vector storage for AI agent backends.
snowflake-common-errorsDiagnose and fix common Snowflake errors and SQL compilation failures.MIT
snowflake-developmentUse when writing Snowflake SQL, building data pipelines with Dynamic Tables or Streams/Tasks, using Cortex AI functions, creating Cortex Agents, writing Snowpark Python, configuring dbt for Snowflake, or troubleshooting Snowflake errors.
snowflake-developmentUse when writing Snowflake SQL, building data pipelines with Dynamic Tables or Streams/Tasks, using Cortex AI functions, creating Cortex Agents, writing Snowpark Python, configuring dbt for Snowflake, or troubleshooting Snowflake errors.
snowflake-developmentUse when writing Snowflake SQL, building data pipelines with Dynamic Tables or Streams/Tasks, using Cortex AI functions, creating Cortex Agents, writing Snowpark Python, configuring dbt for Snowflake, or troubleshooting Snowflake errors.MIT
snowflake-developmentComprehensive Snowflake development assistant covering SQL best practices, data pipeline design (Dynamic Tables, Streams, Tasks, Snowpipe), Cortex AI functions, Cortex Agents, Snowpark Python, dbt integration, performance tuning, and security hardening.
snowflake-developmentComprehensive Snowflake development assistant covering SQL best practices, data pipeline design (Dynamic Tables, Streams, Tasks, Snowpipe), Cortex AI functions, Cortex Agents, Snowpark Python, dbt integration, performance tuning, and security hardening.
snowflake-hello-worldCreate a minimal working Snowflake example with real SQL queries.MIT
snowflake-known-pitfallsIdentify and avoid Snowflake anti-patterns and common mistakes in SQL,MIT
snowflake-sql
soda-coreSoda Core data quality — SodaCL checks (row_count, missing, invalid, duplicate, freshness, schema, reference, custom SQL), configuration.yml for PostgreSQL/Spark/ClickHouse/BigQuery, soda scan CLI, Airflow integration, dbt integration, alerting
spark-sql-optimizer|MIT
sqlUse this skill when the user wants to use sql, cli tool: sql.
sqlGuide for working with SQL queries, in particular for SQLite. Use this skill when writing SQL queries, analyzing database schemas, designing migrations, or working with SQLite-related code.MIT
sqlGuide for working with SQL queries, in particular for SQLite. Use this skill when writing SQL queries, analyzing database schemas, designing migrations, or working with SQLite-related code.MIT
sql_review_skill
sql-best-practicesUse this skill when writing SQL queries — selects, joins, aggregations, window functions, or schema modifications. Apply whenever SQL is needed to ensure correctness, safety, and performance.
sql-code-reviewUniversal SQL code review assistant that performs comprehensive security, maintainability, and code quality analysis across all SQL databases (MySQL, PostgreSQL, SQL Server, Oracle). Focuses on SQL injection prevention, access control, code standards, and anti-pattern detection. Complements SQL optimization prompt for complete development coverage.
sql-code-review
sql-database-assistantUse when the user asks to write SQL queries, optimize database performance, generate migrations, explore database schemas, or work with ORMs like Prisma, Drizzle, TypeORM, or SQLAlchemy.
sql-database-assistantUse when the user asks to write SQL queries, optimize database performance, generate migrations, explore database schemas, or work with ORMs like Prisma, Drizzle, TypeORM, or SQLAlchemy.
sql-database-assistantUse when the user asks to write SQL queries, optimize database performance, generate migrations, explore database schemas, or work with ORMs like Prisma, Drizzle, TypeORM, or SQLAlchemy.MIT
sql-injection-detector|MIT
sql-injection-prevention>
sql-injection-preventionAlways use parameterized queries or prepared statements Use when implementing security best practices. Security category skill.
sql-injection-testingExecute comprehensive SQL injection vulnerability assessments on web applications to identify database security flaws, demonstrate exploitation techniques, and validate input sanitization mechanisms.
sql-injection-testingExecute comprehensive SQL injection vulnerability assessments on web applications to identify database security flaws, demonstrate exploitation techniques, and validate input sanitization mechanisms.
sql-injection-testingExecute comprehensive SQL injection vulnerability assessments on web applications to identify database security flaws, demonstrate exploitation techniques, and validate input sanitization mechanisms.
sql-injection-testingExecute comprehensive SQL injection vulnerability assessments on web applications to identify database security flaws, demonstrate exploitation techniques, and validate input sanitization mechanisms.
sql-migration-generator|MIT
sql-optimizationUniversal SQL performance optimization assistant for comprehensive query tuning, indexing strategies, and database performance analysis across all SQL databases (MySQL, PostgreSQL, SQL Server, Oracle). Provides execution plan analysis, pagination optimization, batch operations, and performance monitoring guidance.
sql-optimization
sql-optimization-patternsTransform slow database queries into lightning-fast operations through systematic optimization, proper indexing, and query plan analysis.
sql-optimization-patternsTransform slow database queries into lightning-fast operations through systematic optimization, proper indexing, and query plan analysis.
sql-optimization-patternsMaster SQL query optimization, indexing strategies, and EXPLAIN analysis to dramatically improve database performance and eliminate slow queries. Use when debugging slow queries, designing database schemas, or optimizing application performance.
sql-optimization-patternsMaster SQL query optimization, indexing strategies, and EXPLAIN analysis to dramatically improve database performance and eliminate slow queries. Use when debugging slow queries, designing database schemas, or optimizing application performance.MIT
sql-optimizerDiagnose a slow SQL query and produce a concrete optimization plan. Use when asked to optimize SQL, speed up a slow query, reduce a query's cost/scan, fix a timeout, or review a query plan. Produces an analysis — the likely bottleneck, what the plan is doing wrong (full scans, bad joins, spills), the specific rewrite and index/partition changes, and the expected impact, with the optimized query.
sql-patternsQuick reference for common SQL patterns, CTEs, window functions, and indexing strategies. Triggers on: sql patterns, cte example, window functions, sql join, index strategy, pagination sql.
sql-proMaster modern SQL with cloud-native databases, OLTP/OLAP optimization, and advanced query techniques. Expert in performance tuning, data modeling, and hybrid analytical systems.
sql-proMaster modern SQL with cloud-native databases, OLTP/OLAP optimization, and advanced query techniques. Expert in performance tuning, data modeling, and hybrid analytical systems.
sql-proMaster modern SQL with cloud-native databases, OLTP/OLAP optimization, and advanced query techniques. Expert in performance tuning, data modeling, and hybrid analytical systems.
sql-proMaster modern SQL with cloud-native databases, OLTP/OLAP optimization, and advanced query techniques. Expert in performance tuning, data modeling, and hybrid analytical systems.
sql-proMaster modern SQL with cloud-native databases, OLTP/OLAP optimization, and advanced query techniques. Expert in performance tuning, data modeling, and hybrid analytical systems.
sql-queriesGenerate SQL queries from natural language descriptions. Supports BigQuery, PostgreSQL, MySQL, and other dialects. Reads database schemas from uploaded diagrams or documentation. Use when writing SQL, building data reports, exploring databases, or translating business questions into queries.
sql-query-builderSQL查询生成器 — 自然语言描述→SQL语句+执行计划分析+优化建议
sql-query-optimizer|MIT
sql-reviewPre-merge SQL quality gate — lint 26 anti-patterns, grade readability/performance A-F, validate syntax, and scan for injection threats. Use before committing or reviewing SQL changes.
sql-sentinelAudit SQL for the cost & performance anti-patterns that burn warehouse credits. Scores warehouse health 0-100 and outputs a prioritized cost-reduction plan for BigQuery, Snowflake, Redshift, and Postgres.MIT
sql-sentinelAudit SQL for the cost & performance anti-patterns that burn warehouse credits. Scores warehouse health 0-100 and outputs a prioritized cost-reduction plan for BigQuery, Snowflake, Redshift, and Postgres.MIT
sql-sentinelAudit SQL for the cost & performance anti-patterns that burn warehouse credits. Scores warehouse health 0-100 and outputs a prioritized cost-reduction plan for BigQuery, Snowflake, Redshift, and Postgres.MIT
sql-server-table-reconciliationUse when: comparing SQL Server tables across instances, data migration validation, ETL verification, row mismatch detection, schema drift, reconciliation report, production vs staging comparison. Uses mssql-python driver with Apache Arrow for fast columnar data transfer and comparison.
sql-transform-helper|MIT
sql-tutor帮助用户编写和优化 SQL 查询，包括将自然语言转换为 SQL、提供查询优化建议以及解读 EXPLAIN 执行计划。当用户需要 SQL 相关帮助时触发，例如直接请求“自然语言转SQL”、“帮我优化这条SQL”、“解释一下这个执行计划”，或提及关键词如 NL2SQL、SQL优化、慢查询、索引建议、全表扫描、SQL调优，以及支持 SQLite 和 PostgreSQL 数据库时。MIT
sqldiffUse this skill when the user wants to use sqldiff, cli tool: sqldiff.
sqlite-incremental-reconcileStateful ingest workflow with dedupe, rejects, and checkpoint logging.
sqlite-minimal-persistenceExtend Ordinus SQLite persistence conservatively. Use when touching better-sqlite3, Drizzle schema, database bootstrap, app_meta, migrations, durable state, persistence boundaries, or proposals to add new product tables.
sqlite-vecsqlite-vec extension for vector similarity search in SQLite. Use when storing embeddings, performing KNN queries, or building semantic search features. Triggers on sqlite-vec, vec0, MATCH, vec_distance, partition key, float[N], int8[N], bit[N], serialize_float32, serialize_int8, vec_f32, vec_int8, vec_bit, vec_normalize, vec_quantize_binary, distance_metric, metadata columns, auxiliary columns.
SQLMap Database Penetration TestingThis skill should be used when the user asks to "automate SQL injection testing," "enumerate database structure," "extract database credentials using sqlmap," "dump tables and columns from a vulnerable database," or "perform automated database penetration testing." It provides comprehensive guidance for using SQLMap to detect and exploit SQL injection vulnerabilities.
sqlmap-database-pentestingProvide systematic methodologies for automated SQL injection detection and exploitation using SQLMap.
sqlmap-database-pentestingProvide systematic methodologies for automated SQL injection detection and exploitation using SQLMap.
SQLPDSkill
ssma-consoleUse when: SSMA console operations — create project, generate assessment report, convert schema, migrate data, Oracle to SQL Server migration, schema conversion, data migration
supabase-automationAutomate Supabase database queries, table management, project administration, storage, edge functions, and SQL execution via Rube MCP (Composio). Always search tools first for current schemas.
supabase-automationAutomate Supabase database queries, table management, project administration, storage, edge functions, and SQL execution via Rube MCP (Composio). Always search tools first for current schemas.
supabase-automationAutomate Supabase database queries, table management, project administration, storage, edge functions, and SQL execution via Rube MCP (Composio). Always search tools first for current schemas.
supabase-bootstrapBootstrap toolkit for new Supabase projects. Use when: (1) Setting up a new Supabase project, (2) Configuring sqlfluff for SQL formatting, (3) Setting up mise task runner, (4) Configuring MCP server for schema access, (5) Initializing project structurelicensed
supabase-common-errorsDiagnose and fix Supabase errors across PostgREST, PostgreSQL, Auth,MIT
supabase-optimize為 Supabase RPC 產生 pre-aggregate pattern SQL 範本。當響應時間 > 1s、rows > 10k、或含 string_agg/ST_Union 時使用。依照 Mini Taiwan Pulse 專案的「普通 table + per-day refresh function + pg_cron + 薄 RPC」架構產生完整 SQL，含 advisory lock、cleanup、cron 排程。
supabase-securityUse when auditing or hardening a Supabase project's security posture. Triggers: scan/audit Supabase, RLS verification, find leaky tables, check anon grants, review SECURITY DEFINER functions, prep for the May 30 / Oct 30, 2026 Data API exposure changes, generate remediation SQL. Works against any Supabase project (Cloud or self-hosted) given a Personal Access Token.
talonTalon 多模融合数据引擎使用指南。当用户需要使用 Talon 数据库进行开发时触发：包括 SQL 查询、KV 存储、向量搜索、时序数据、消息队列、全文检索、地理空间、图数据库、AI 引擎（Session/Context/Memory/RAG/Agent/Trace）。也适用于：选择 Talon 引擎模块、使用 Go/Python/Node.js/Java/.NET SDK、构建 RAG 管道、Agent 工具缓存、对话管理、embedding 缓存、跨引擎融合查询（GraphRAG、Hybrid Search）。
text-legend-openclaw-deploySet up, deploy, and manage Text-Legend game server using Docker Compose with MySQL or SQLite. Handles OpenClaw/Skillhub installation, container orchestration, database configuration, service health checks, and local Node.js development. Use when the user wants to run, start, stop, or troubleshoot Text-Legend services.
tidbx-prismaPrisma ORM setup and usage for TiDB from Node.js/TypeScript. Covers configuring prisma/schema.prisma (MySQL provider), DATABASE_URL formatting for TiDB Cloud TLS (sslaccept=strict and optional sslcert), migrations (prisma migrate), Prisma Client generation, CRUD patterns, and safe raw SQL ($queryRaw) plus runnable templates.
validate-dataQA an analysis before sharing -- methodology, accuracy, and bias checks. Use when reviewing an analysis before a stakeholder presentation, spot-checking calculations and aggregation logic, verifying a SQL query's results look right, or assessing whether conclusions are actually supported by the data.
Wheels Migration GeneratorGenerate 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.
wiki-queryQuery pro-workflow wikis via SQLite FTS5 BM25 retrieval. Returns top-K passages with citations. Use when answering a question that any of the user's wikis already covers, when the user says "what does the wiki say about X", "ask wiki", "search wikis", or before drafting a new wiki page (to avoid duplication).
xianyu-monitor闲鱼商品监控与捡漏工具。定时搜索闲鱼，发现新商品后推送通知。Use when: user wants to monitor 闲鱼/Xianyu/Goofish for specific items, set up price alerts, track second-hand goods, or find rental listings on 闲鱼. Supports keyword search, price range, text filters (exclude/include), time filter, dedup via SQLite.

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