数据库
SQL、Schema 设计、迁移和数据库操作
Skills 列表
swiftdata
Implement, review, or improve data persistence using SwiftData. Use when defining @Model classes with @Attribute, @Relationship, @Transient, #Unique, or #Index; when querying with @Query, #Predicate, FetchDescriptor, or SortDescriptor; when configuring ModelContainer and ModelContext for SwiftUI or background work with @ModelActor; when planning schema migrations with VersionedSchema and SchemaMigrationPlan; when setting up CloudKit sync with ModelConfiguration; or when coexisting with or migrating from Core Data.
dpearson2699
code-review
Perform code reviews following Sentry engineering practices. Use when reviewing pull requests, examining code changes, or providing feedback on code quality. Covers security, performance, testing, and design review.
getsentry
db
Oracle Database guidance for SQL, PL/SQL, SQLcl, ORDS, administration, app development, performance, security, migrations, and agent-safe database workflows. Use when the user asks to write, edit, rewrite, review, format, debug, tune, or explain SQL; create or refactor PL/SQL; use SQLcl, Liquibase, ORDS, JDBC, node-oracledb, Python, Java, .NET, or database frameworks; troubleshoot queries, sessions, locks, waits, indexes, optimizer plans, AWR, ASH, migrations, schemas, users, roles, privileges, backup, recovery, Data Guard, RAC, multitenant, containers, monitoring, auditing, encryption, VPD, or safe agent database operations.
oracle
data360-connect
Salesforce Data Cloud Connect phase. Use this skill when the user manages Data Cloud connections, connectors, or sets up a new source system. TRIGGER when: user manages Data Cloud connections, connectors, connector metadata, tests a connection, browses source objects or databases, or sets up a new source system. DO NOT TRIGGER when: the task is about data streams or DLOs (use data360-prepare), DMOs or identity resolution (use data360-harmonize), retrieval/search (use data360-query), or STDM telemetry (use agentforce-observe).
forcedotcom
diffity-review
Review current diff and leave comments using diffity agent commands
nilbuild
azure-container-apps
Expert knowledge for Azure Container Apps development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when configuring ACA auth, KEDA/Dapr scaling, CI/CD deployments, Java microservices, or GPU/AI workloads, and other Azure Container Apps related development tasks. Not for Azure App Service (use azure-app-service), Azure Functions (use azure-functions), Azure Kubernetes Service (AKS) (use azure-kubernetes-service), Azure Red Hat OpenShift (use azure-redhat-openshift).
microsoftdocsazure-sql-database
Expert knowledge for Azure SQL Database development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when choosing DTU/vCore tiers, configuring Hyperscale/HA, setting geo-replication/Data Sync, or automating CI/CD, and other Azure SQL Database related development tasks. Not for Azure SQL Managed Instance (use azure-sql-managed-instance), SQL Server on Azure Virtual Machines (use azure-sql-virtual-machines), Azure Cosmos DB (use azure-cosmos-db), Azure Data Factory (use azure-data-factory).
microsoftdocs
adding-dbt-unit-test
Creates unit test YAML definitions that mock upstream model inputs and validate expected outputs. Use when adding unit tests for a dbt model or practicing test-driven development (TDD) in dbt.
dbt-labs
dotnet-init
Interactive project initialization. Detects project type, asks architecture questions, and generates a customized CLAUDE.md — no manual template copying. Use when: "init project", "setup project", "initialize", "new project setup", "generate CLAUDE.md", "configure for dotnet-claude-kit", or starting Claude Code on a fresh or existing .NET codebase.
codewithmukeshplan
Enter plan mode for .NET projects with architecture awareness. Analyzes tasks through the lens of supported architectures (VSA, Clean Architecture, DDD, Modular Monolith) and produces structured implementation plans before any code is written. Use when: "plan", "let's plan", "think through", "design this", "how should I implement", or any non-trivial task requiring 3+ steps.
codewithmukeshmigrate
Guided, safe migration workflow covering EF Core schema migrations, .NET version upgrades, and NuGet dependency updates — each with rollback strategies and verification steps. Invoke when: "add migration", "update database", "create migration", "schema change", "new table", "rename column", "upgrade nuget", "update packages", "dependency update", "version upgrade", ".NET upgrade".
codewithmukeshef-core
Entity Framework Core patterns for .NET 10. Covers DbContext configuration, migrations workflow, interceptors, compiled queries, ExecuteUpdateAsync, ExecuteDeleteAsync, value converters, and query optimization. Load this skill when working with databases, writing queries, managing schema changes, or when the user mentions "EF Core", "Entity Framework", "DbContext", "migration", "LINQ query", "database", "SQL", "N+1", "Include", "split query", "value converter", "interceptor", or "compiled query".
codewithmukeshproject-setup
Tech-stack selection advisor for .NET projects: recommended defaults for database, auth, caching, messaging, observability, and resilience, with the rationale behind each default. Load when choosing or reviewing a project's tech stack, or when the user says "tech stack", "which database", "pick a stack", "recommended defaults", or "what should I use for". For project initialization use dotnet-init, for codebase assessment use health-check, for upgrades and schema changes use migrate.
codewithmukesh
nuxthub
Use when building NuxtHub v0.10.6 applications - provides database (Drizzle ORM with sqlite/postgresql/mysql), KV storage, blob storage, and cache APIs. Covers configuration, schema definition, migrations, multi-cloud deployment (Cloudflare, Vercel), and the new hub:db, hub:kv, hub:blob virtual module imports.
onmax
vitess
Vitess best practices, query optimization, and connection troubleshooting for PlanetScale Vitess databases. Load when working with Vitess databases, sharding, VSchema configuration, keyspace management, or MySQL scaling issues.
planetscaleneki
Overview and information about Neki, the sharded Postgres product by PlanetScale. Load when working with Neki-related tasks and the need to scale or shard postgres. Load when facing Postgres scaling or sharding issues.
planetscale
read-file
Read any data file (CSV, JSON, Parquet, Avro, Excel, spatial, SQLite) or remote URL (S3, HTTPS). Use when user references a data file, asks "what's in this file", or wants to preview/profile a dataset. Not for source code.
duckdbmysql
Plan and review MySQL/InnoDB schema, indexing, query tuning, transactions, and operations. Use when creating or modifying MySQL tables, indexes, or queries; diagnosing slow/locking behavior; planning migrations; or troubleshooting replication and connection issues. Load when using a MySQL database.
planetscalepostgres
PostgreSQL best practices, query optimization, connection troubleshooting, and performance improvement. Load when working with Postgres databases.
planetscale
chdb-sql
Use when the user wants to run SQL — especially analytical SQL — on local files (parquet/csv/json), URLs, S3 paths, or remote databases (Postgres, MySQL, MongoDB, ClickHouse Cloud, Iceberg, Delta Lake) without setting up a server. Provides chDB — embedded ClickHouse SQL in Python with 1000+ functions, Session for stateful multi-step pipelines, parametrized queries, and cross-source joins via `s3()`, `mysql()`, `postgresql()`, `iceberg()`, `deltaLake()`, `remoteSecure()` table functions. TRIGGER when: user wants SQL on parquet/csv/files or across remote analytical sources; uses ClickHouse SQL features (window functions, windowFunnel, geoToH3, JSON path ops, Session, parametrized queries); imports `chdb` or calls `chdb.query()`. SKIP this skill for pandas-style DataFrame method-chaining (use chdb-datastore instead) or ClickHouse server administration.
clickhousechdb-datastore
Use when the user has tabular data (pandas DataFrame, parquet, csv, Arrow, json) and wants to filter, group, aggregate, join, or speed up slow pandas. Provides chDB DataStore — same pandas API, ClickHouse engine underneath. Also handles reading from S3, MySQL, PostgreSQL, MongoDB, ClickHouse Cloud, Iceberg, Delta Lake as DataFrames and joining across sources. TRIGGER when: user mentions DataFrame, parquet, csv, "fast pandas", "speed up pandas", or cross-source DataFrame joins; user imports `chdb.datastore` or `from datastore import DataStore`. SKIP this skill for raw SQL syntax (use chdb-sql instead), ClickHouse server administration, or non-Python DataStore API work.
clickhouse
n8n-node-configuration-official
Use when configuring any n8n node: HTTP, webhooks, database, comms (Slack/Gmail/Discord), AI, triggers, Merge, anything. Triggers on any node-builder call (`node(...)`, `trigger(...)`, `tool(...)`, `memory(...)`, `languageModel(...)`, `ifElse(...)`, `merge(...)`, etc.), configuring a parameter, `useDataOfInput`, `numberOfInputs`, fan-in convergence, or any node-specific debugging.
n8n-io
unslop
Cut AI tells from any writing. Must always apply.
backnotprop
tracing-upstream-lineage
Trace upstream data lineage. Use when the user asks where data comes from, what feeds a table, upstream dependencies, data sources, or needs to understand data origins.
astronomer