agentuity-cli-cloud-sandbox-delete
Delete a sandbox. Requires authentication. Use for Agentuity cloud platform operations
Delete a sandbox. Requires authentication. Use for Agentuity cloud platform operations
Create a new database resource. Requires authentication. Use for Agentuity cloud platform operations
Master Terraform HCL syntax, resources, providers, variables, and outputs with production-ready patterns
AWS cloud operations for CloudWatch, S3, Lambda, EC2, and IAM
管理本地 Cloud NMS 服务器的完整部署流程,包括卸载、上传、全新安装和保留数据升级。当用户需要重新安装 Cloud NMS、部署新版本、或在开发环境中重置 NMS 服务时使用。
Infrastructure as Code for AI workloads using Terraform across AWS, Azure, GCP, and OCI
AWS infrastructure as code with Terraform and CDK, including VPC design, EKS cluster setup, S3 bucket configuration, RDS databases, DynamoDB tables, Lambda functions, API Gateway, CloudWatch monitoring, IAM policies, security groups, cost optimization, multi-account strategies, CI/CD with CodePipeline, infrastructure testing, disaster recovery, compliance automation, and cloud-native best practices for production workloads.
Provides Python Lambda implementation patterns with type hints, boto3 client initialization optimization, and proper error handling. Use when creating or modifying Python Lambda code, implementing AWS Lambda handlers, or working with boto3 clients.
Provides expert cloud cost analysis, FinOps assessment, and resource optimization recommendations. Use this skill when the user needs cloud cost review, infrastructure spend analysis, or optimization strategy. Triggers include requests for cost audit, FinOps assessment, resource optimization, or when asked to evaluate cloud spending patterns. Produces detailed consultant-style reports with findings and prioritized recommendations — does NOT write implementation code.
Provides expert DevOps analysis, CI/CD pipeline review, and infrastructure assessment. Use this skill when the user needs deployment pipeline evaluation, infrastructure review, or platform engineering guidance. Triggers include requests for DevOps audit, CI/CD review, deployment strategy assessment, or when asked to evaluate infrastructure patterns. Produces detailed consultant-style reports with findings and prioritized recommendations — does NOT write implementation code.
Cost estimation scripts and tools for calculating GPU hours, training costs, and inference pricing across Modal, Lambda Labs, and RunPod platforms. Use when estimating ML training costs, comparing platform pricing, calculating GPU hours, budgeting for ML projects, or when user mentions cost estimation, pricing comparison, GPU budgeting, training cost analysis, or inference cost optimization.
Comprehensive guide to cloud pricing models, cost structures, and optimization strategies across major providers.
Optimize cloud costs through resource rightsizing, tagging strategies, reserved instances, and spending analysis. Use when reducing cloud expenses, analyzing infrastructure costs, or implementing cost governance policies.
Optimize cloud costs through resource rightsizing, tagging strategies, reserved instances, and spending analysis. Use when reducing cloud expenses, analyzing infrastructure costs, or implementing cost governance policies.
Generate Redpanda Migrator YAML configuration files for migrating data between Kafka-compatible clusters. Use when users request migration configurations for Kafka, Redpanda, Confluent Cloud, AWS MSK, or other Kafka-compatible systems. Handles data migration, schema migration, consumer offset translation, ACL migration, and topic filtering scenarios.
Enterprise Neon Serverless PostgreSQL Platform with AI-powered database architecture, Context7 integration, and intelligent branching orchestration for scalable modern applications
Neon serverless PostgreSQL specialist covering auto-scaling, database branching, PITR, and connection pooling. Use when building serverless apps needing PostgreSQL, implementing preview environments, or optimizing database costs.
Create CLI entrypoints for pipeline execution with local/SageMaker environment support and parallel processing. Use when user requests "CLI作成", "エントリーポイント", "entrypoint", "scripts/entrypoint.py", "コマンドライン実行", "local/sagemaker実行", "並列処理CLI", or needs to create command-line interfaces for data processing pipelines that support both local development and cloud (SageMaker) execution environments.
Centralized management of machine learning models throughout their lifecycle, including versioning, metadata, and production deployment.
AWS Prescriptive Guidance for best practices and architectural patterns. Use for AWS architecture recommendations, SageMaker AI endpoints guidance, deployment patterns, and AWS solution architectures.
Build AI agents with AWS Bedrock AgentCore. Use when developing agents on AWS infrastructure, creating tool-use patterns, implementing agent orchestration, or integrating with Bedrock models. Triggers on keywords like AgentCore, Bedrock Agent, AWS agent, Lambda tools.