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Neon Serverless Postgres 使用指南与最佳实践。涵盖入门、使用 Neon 进行本地开发、选择连接方式、Neon……

Manages local data persistence using SQLite or other database solutions. Use when a Flutter app needs to store, query, or synchronize large amounts of…

Creates integration test cases for .NET data access artifacts during Oracle-to-PostgreSQL database migrations. Generates DB-agnostic xUnit tests with…

Creates an integration testing plan for .NET data access artifacts during Oracle-to-PostgreSQL database migrations. Analyzes a single project to identify…

Scaffolds an xUnit integration test project for validating Oracle-to-PostgreSQL database migration behavior in .NET solutions. Creates the test project,…

Excel MCP Server skill for Windows workbook automation. Use when an assistant needs rich MCP tools to create, inspect, modify, format, or analyze Excel files. Supports Power Query (M), Data Model/DAX, PivotTables, Tables, Ranges, Charts, Slicers, formatting, screenshots, VBA macros, connections, and calculation mode. Triggers: Excel, spreadsheet, workbook, xlsx, xlsm, Power Query, DAX, PivotTable, chart, dashboard, VBA, MCP.

Provides patterns to configure AWS RDS (Aurora, MySQL, PostgreSQL) with Spring Boot applications. Configures HikariCP connection pools, implements read/write…

Develop workflows, custom nodes, and integrations for n8n automation platform

将数据导入 AWS 数据湖，支持从 S3 文件、本地上传、JDBC 数据库（Oracle、SQL Server、PostgreSQL、MySQL、RDS、Aurora）、Amazon Redshift、Snowflake、BigQuery、DynamoDB 或现有 Glue Catalog 表（迁移）。默认目标为 S3 Tables；未采用 S3 Tables 时支持通用存储桶上的标准 Iceberg。处理一次性加载、周期性管道、迁移。触发场景：导入数据、加载数据、摄取、同步数据库、迁移表、将数据迁移至 AWS、设置管道、ETL、从 Snowflake 拉取、将 BigQuery 查询结果写入 S3、导出 DynamoDB、CTAS、转换为 Iceberg。请勿用于设置或排查 Glue 连接（使用 connecting-to-data-source）、创建空表（使用 creating-data-lake-table）、运行查询（使用 querying-data-lake）、模糊搜索表名（使用 finding-data-lake-assets）、Catalog 审计（使用 exploring-data-catalog），或 Salesforce、ServiceNow、SAP、MongoDB、Kafka 等 SaaS 平台。

Expert database administrator specializing in modern cloud databases, automation, and reliability engineering.

GEOFlow open-source GEO/SEO content production system with AI generation, review workflow, and publishing pipeline built on PHP and PostgreSQL.

Databricks Lakebase Postgres: projects, scaling, connectivity, Lakebase synced tables, and Data API. Use when asked about Lakebase databases, OLTP storage, or…

Automate Supabase database queries, table management, project administration, storage, edge functions, and SQL execution via Rube MCP (Composio). Always search…

Grafana Cloud AI and ML features — Grafana Assistant (natural language queries, dashboard generation, incident investigations), Dynamic Alerting (ML forecasting and outlier detection), Sift (automated root cause analysis with 8 analysis types), Knowledge Graph (entity discovery and RCA Workbench), and the LLM Plugin (OpenAI/Anthropic/Azure integration). Use when setting up AI-powered alerting, using natural language to query metrics/logs, automating incident investigation, or integrating LLMs with Grafana panels and workflows.

after-effects — 一个可安装的技能，供 AI 智能体使用，由 aedev-tools/adobe-agent-skills 发布。

DataWorks data development Skill. Create, configure, validate, deploy, update, move, and rename nodes and workflows. Manage components, file resources, and UDF functions. Covers 150+ node types: Shell, SQL, Python, DI, Flink, EMR, etc. Supports scheduled and manual workflow orchestration via aliyun CLI or Python SDK. WARNING: Supports mutating operations (Move, Rename) requiring explicit user confirmation. Delete operations are NOT supported by this skill. Triggers: DataWorks, data development nodes, workflows, FlowSpec, scheduling tasks, data integration, ETL pipelines, .spec.json. Also triggers for Alibaba Cloud data development, scheduling node configuration, FlowSpec format, or DI task orchestration.

Use when generating images with Midjourney, constructing MJ prompts, iterating on MJ output quality, choosing between --sref/--oref/style codes, scoring image…

Expert blueprint for testing patterns using GUT (Godot Unit Test), integration tests, mock/stub patterns, async testing, and validation techniques. Covers…

QuestDB integration. Manage data, records, and automate workflows. Use when the user wants to interact with QuestDB data.

Operate Firebase from the terminal with `firebase-tools`: install/auth the CLI, bootstrap `firebase.json` / `.firebaserc`, run the Emulator Suite, deploy Hosting / Functions / rules / App Hosting, manage preview channels, and handle Firebase admin tasks like auth import/export, Remote Config, App Distribution, and Extensions. Use when the job is Firebase platform/project operation through the CLI. Triggers on: firebase deploy, firebase init, firebase emulators, firebase hosting, firebase functions, firebase firestore, firebase database, firebase auth import, firebase remote config, firebase app distribution, firebase extensions, firebase apphosting, firebase dataconnect, firebase cli, firebase-tools, deploy firebase, firebase preview channel, firebase login, firebase use, firebase target apply. Route backend AI workflow orchestration to `genkit` and direct in-app SDK integration to `firebase-ai-logic`.