cloud-monitoring
Cloud monitoring with Prometheus, Grafana, and cloud-native tools. Use when setting up metrics, alerts, dashboards, or troubleshooting performance issues.
发现 工具与集成 相关 Skills,比较来源仓库和用途,查看适合你工作流的技能说明。
Cloud monitoring with Prometheus, Grafana, and cloud-native tools. Use when setting up metrics, alerts, dashboards, or troubleshooting performance issues.
Use when creating reusable process documentation. Apply TDD: baseline without skill → document failures → write skill → test → iterate. Four types: Discipline, Technique, Pattern, Reference. Iron Law: No skill...
MANDATORY: Use gh (GitHub) or glab (GitLab) CLI for ALL issue/task management. Unified workflow across platforms.
Use when starting new features, major changes, or unclear requirements. Establishes shared understanding before implementation.
Use to avoid critical testing mistakes. Five Iron Laws: Never test mock behavior, Never add test-only methods, Never mock without understanding, Always integration test, Always test error paths.
Kubernetes container orchestration. Use when deploying to Kubernetes, writing manifests, configuring Helm charts, or troubleshooting cluster issues.
Use when working on long-running projects or needing context across sessions. Covers memory architecture, privacy controls, efficient retrieval, and integration with claude-mem plugin. Apply when building featu...
Check for relevant skills before starting any task
Establish or analyze brand identity guidelines. Creates comprehensive brand documentation that frontend-design, testing, and other skills automatically reference for consistent execution.
Use when making commits, creating branches, or managing Git operations. Ensures consistent Git practices and proper commit messages.
Use when adding features or fixing bugs. Follow RED/GREEN/REFACTOR cycle. Write failing test first, implement minimal code to pass, then refactor.
Self-review before declaring work complete
Use when debugging web applications or automating browser tasks. Leverage Chrome DevTools MCP for inspection, performance analysis, and automated testing.
Infrastructure as Code with Terraform. Use when provisioning cloud resources, managing state, creating modules, or reviewing Terraform configurations.
Create distinctive, production-grade frontend interfaces with high design quality. Use when building web components, pages, or applications. Generates creative, polished code that avoids generic AI aesthetics.
Alibaba Cloud architecture patterns and best practices. Use when designing, deploying, or reviewing infrastructure on Alibaba Cloud including ECS, ACK, Function Compute, and OSS.
Delegate tasks to remote Claude Code agent containers for parallel execution, long-running analysis, or resource-intensive operations.
Enforce one branch per issue, small focused commits, and clean git history. Use with /branch command.
Use when symptoms don't reveal the cause. Trace backward through call chains to find where problems originate. Follow: Observe symptom → Find immediate cause → Identify caller → Keep tracing → Locate trigger.
Microsoft Azure architecture patterns and best practices. Use when designing, deploying, or reviewing Azure infrastructure including AKS, App Service, Functions, CosmosDB, and Entra ID.
Use when performing security audits or system hardening. Teaches security assessment principles and prioritization.
Use when optimizing website performance. Run Google Lighthouse audits via MCP to measure metrics, identify bottlenecks, and iterate on improvements.
Use when implementing validation or safety checks. Multi-layer validation approach prevents bugs through redundant safeguards. Makes bugs structurally impossible.
Cloud cost optimization and FinOps practices. Use when analyzing cloud costs, implementing savings strategies, or optimizing resource usage.
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。