telnyx-storage-java
Manage cloud storage buckets and objects using the S3-compatible Telnyx Storage API. This skill provides Java SDK examples.
Manage cloud storage buckets and objects using the S3-compatible Telnyx Storage API. This skill provides Java SDK examples.
Manage cloud storage buckets and objects using the S3-compatible Telnyx Storage API. This skill provides JavaScript SDK examples.
Manage cloud storage buckets and objects using the S3-compatible Telnyx Storage API. This skill provides Ruby SDK examples.
Manage cloud storage buckets and objects using the S3-compatible Telnyx Storage API. This skill provides REST API (curl) examples.
Manage cloud storage buckets and objects using the S3-compatible Telnyx Storage API. This skill provides Python SDK examples.
Upgrade AWS icons package to the latest version following established procedures
Trae 项目规范化配置专家。用于快速初始化 Trae 项目配置文件、生成项目规则、用户偏好设置和 Skill 模板。当用户需要:(1) 初始化新项目的 Trae 配置 (2) 生成 .trae 目录结构 (3) 创建 USER_PREFERENCES.md 用户偏好文件 (4) 创建 project_rules.md 项目规则文件 (5) 创建新的 Skill 模板 时使用此 Skill。
Create professional Grafana dashboards with visualizations, templating, and alerts. Use when building monitoring dashboards, creating data visualizations, or setting up operational insights.
Plan and execute cloud migrations with assessment, database migration, application refactoring, and cutover strategies across AWS, Azure, and GCP.
Deploy and manage relational databases using RDS with Multi-AZ, read replicas, backups, and encryption. Use for PostgreSQL, MySQL, MariaDB, and Oracle.
Deploy containerized applications on Google Cloud Run with automatic scaling, traffic management, and service mesh integration. Use for container-based serverless computing.
Monitor model performance, detect data drift, concept drift, and anomalies in production using Prometheus, Grafana, and MLflow
Implement error tracking with Sentry for automatic exception monitoring, release tracking, and performance issues. Use when setting up error monitoring, tracking bugs in production, or analyzing application stability.
Implement structured logging across applications with log aggregation and centralized analysis. Use when setting up application logging, implementing ELK stack, or analyzing application behavior.
Deploy, manage, and scale containerized applications on Kubernetes clusters with best practices for production workloads, resource management, and rolling updates.
Implement distributed tracing with Jaeger and Zipkin for tracking requests across microservices. Use when debugging distributed systems, tracking request flows, or analyzing service performance.
Implement feature flags (toggles) for controlled feature rollouts, A/B testing, canary deployments, and kill switches. Use when deploying new features gradually, testing in production, or managing feature lifecycles.
Configure API gateways for routing, authentication, rate limiting, and request/response transformation. Use when deploying microservices, setting up reverse proxies, or managing API traffic.
Implement blue-green deployment strategies for zero-downtime releases with instant rollback capability and traffic switching between environments.
Manage application configuration including environment variables, settings management, configuration hierarchies, secret management, feature flags, and 12-factor app principles. Use for config, environment setup, or settings management.
Create operational runbooks, playbooks, standard operating procedures (SOPs), and incident response guides. Use when documenting operational procedures, on-call guides, or incident response processes.
Infrastructure automation and configuration management using Ansible playbooks, roles, and inventory. Use for deploying applications, patching, and managing servers.