deploy-on-aws

将 Claude 打造成 Azure 专家。本插件集成了 Azure MCP server 和专业 Azure skills，助你摆脱泛泛而谈的建议。它让 Claude 能够执行实际任务：列出资源、验证部署、诊断基础设施问题，并优化 50+ 项 Azure 服务的成本。

44 skills · 1 MCP server

将 Claude Code 直接连接到你的 CockroachDB 集群，进行实操数据库工作——探索 schema、编写优化的 SQL、调试查询，并管理分布式数据库集群。该插件提供 14 个工具，涵盖两个活跃的 MCP 后端（自托管 MCP Toolbox 和托管式 CockroachDB Cloud MCP Server）、三个专用 agent（DBA、Developer、Operator）、覆盖 6 个运维领域的 32 个 skill，以及内置安全 hook。

34 skills · 3 agents · 3 MCP servers · hooks

面向 CLI、Apps、Lakebase、Model Serving、Lakeflow Jobs、Spark Declarative Pipelines、Declarative Automation Bundles（DAB）以及经典版到无服务器迁移的 Databricks skill。

37 skills · 2 commands · hooks

在 Claude Code 中使用 Clay：设置并登录 clay CLI，查询和分析 Clay 表格，在 Clay 的 GTM 数据库中搜索人员和公司，管理受众、信号、例程和工作流，并起草和审阅 Sequencer 营销活动。包含自动批准该插件自身 clay CLI 调用和 Clay skills 的 hooks；需要 Clay 账户。

38 skills · hooks

将 Amplitude 作为专业分析工具使用——埋点接入 Amplitude、发现产品机会、分析图表、创建仪表盘、管理实验，并洞察用户与账户。

36 skills · 1 MCP server

本插件为在 Google Cloud 上工作的数据工程师与数据库从业者提供一套专用技能，相当于一位专家助手：在常用的编码代理里用自然语言描述需求，即可设计复杂的数据管道、用 dbt 转换数据、编写 Spark 与 BigQuery SQL 笔记本，并在 GCP 数据生态中编排端到端工作流。

37 skills

Scaffold, validate, and publish new Claude Code plugins with proper structure

3 skills · 1 command · 1 agent

Claude Code skill for creating and presenting Slidev slidedecks

1 skill

Transform Claude into an Azure expert. This plugin integrates the Azure MCP server and specialized Azure skills to move beyond generic advice. It enables Claude to perform real-world tasks: listing resources, validating deployments, diagnosing infrastructure issues, and optimizing costs across 50+ Azure services.

44 skills · 1 MCP server

Cloud architecture design for AWS/Azure/GCP/OCI, Kubernetes cluster configuration, Terraform infrastructure-as-code, hybrid cloud networking, and multi-cloud cost optimization

8 skills · 7 agents

Build, manage, and deploy Wix sites and apps. Includes CLI development skills and Wix MCP server for site management, eCommerce, CMS, dashboard extensions, and more.

37 skills · 1 MCP server

Build, launch, grade, and schedule Claude Managed Agents (CMA) in your own Anthropic account — a plugin re-implementation of Anthropic's launch-your-agent reference skill (Apache-2.0; independent, not a fork). Every session starts with a goal (./my-agent/goal.json, opt-in SessionStart hook, driven by /cs-goal); loop_compiler.py compiles it into a bounded grade->iterate loop (max_iterations 1..20), a recurring cron scheduled-deployment loop, or a single-pass interview->stage->launch workflow. 6 skills: orchestrator (context: fork goal router) + interview + stage-launch + grade-iterate + run-without-you + wrap-up. 18 stdlib-only deterministic scaffolders (no network/API calls; live launches emitted as BYOK curl that never prints the key), 4 agents, 8 commands, hooks, 5 references, 4 assets. Validators enforce CMA limits. Distinct from engineering/agent-harness (generic domain loop) and write-a-skill (authors Claude Code skills, not CMAs).

6 skills · 8 commands · 4 agents · hooks