“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…

Translates SQL queries, DDL schemas, and stored procedures from legacy database dialects (Teradata, Oracle, Redshift, Snowflake, SparkSQL, HiveQL) to BigQuery…

ByteHouse AI 查询技能，提供自然语言转 SQL（Text2SQL）、SQL 执行、库表结构查询、多模态向量化和向量检索等能力，覆盖 ByteHouse 云数仓的日常查询、SQL 生成与执行场景。当用户提到…

Translates Snowflake dbt SQL models to Standardized BigQuery SQL.

简化版数据库工具，适用于火山引擎 RDS 实例以及自建数据库的元数据查询、SQL 执行、nl2sql 等场景。当用户需要查询火山引擎 RDS 实例以及自建数据库表结构、查看数据、执行 SQL 或将自然语言转换为 SQL 时使用此 skill。

使用火山引擎 RDS SQL Server，当用户需要执行 RDS SQL Server 相关的实例管理、数据库操作、账号管理和运维任务时使用该skills，可直接调用 uv run ./scripts/call_rds_mssql.py 脚本获取实时结果。

用于火山引擎（Volcengine）数据库（MySQL、veDB-MySQL、PostgreSQL、SQL Server、MongoDB、Redis）和公网自建数据库（MySQL和PostgreSQL系列）的元数据管理、数据分析、开发变更、运维诊断、巡检。覆盖实例列表查询、实例下数据库列表查询、表列表查询、表结构查询…

Provisions and manages Aurora DSQL clusters, connects via psql or DSQL Connectors, manages schemas, runs queries, migrates from MySQL, diagnoses query plans…

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.

Create Confluent-specific skills for external users.

火山引擎 Supabase .

Builds, configures, debugs, and optimizes AWS observability - operator-symptom questions and detecting Omni vs classic CloudWatch.

Migrate workloads from Microsoft Azure to AWS.

Migrate workloads from Google Cloud Platform to AWS — plus AI and agentic workloads from any provider.

Debug and support PostHog Experiments (A/B tests) for a customer looking at their own results.

Python backend for Databricks Apps — FastAPI (default), Flask, Dash, Streamlit, Gradio, Reflex.

Diagnoses and resolves Amazon RDS for Oracle connectivity, authentication, networking, and driver troubleshooting.

Provides authoritative compatibility checks, pricing estimates, connection troubleshooting, pre-warming guidance, and infrastructure mutations for Amazon…