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Imports existing Azure resources into Terraform using Azure CLI discovery and Azure Verified Modules (AVM), mapping dependencies between resources. Use when generating IaC from a live Azure subscription or resource group, or replacing hand-written azurerm resources with AVM.
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Use when working with Gcp Idle Resources — detect unused and idle GCP resources that incur cost without providing value. Covers unattached Persistent Disks, unused external IPs, stopped VMs, idle Cloud NAT, idle load balancers, old snapshots, idle Cloud SQL instances, abandoned GKE node pools, unused VPC connectors, and orphaned Filestore instances. Includes estimated monthly waste per resource and anti-hallucination rules for safe detection.
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Use when working with Aws Idle Resources — detect unused and idle AWS resources that incur cost without providing value. Covers detached EBS volumes, idle load balancers, unused Elastic IPs, stopped EC2 instances, idle NAT Gateways, old snapshots, and unused ENIs. Includes estimated monthly waste per resource and anti-hallucination rules for safe detection.
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Comprehensive overview of ALL Coval platform resources, their hierarchy, relationships, API endpoints, and ID formats. Use when user asks about Coval resources, data model, how things relate, what endpoints exist, or needs context about the platform structure before making API calls.
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Analyze Azure resource groups and generate detailed Mermaid architecture diagrams showing the relationships between individual resources. Use this skill when the user asks for a diagram of their Azure resources or help in understanding how the resources relate to each other.
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使用远程环境或Docker测试安装、服务集成和实际操作，根据代码可信程度选择环境，并完成故障排查、结果检查及测试后的资源清理。
用于构建和审查职责清晰的Laravel网站应用与API，梳理数据获取、输入验证、接口响应、队列和缓存，帮助形成便于维护的应用结构。
使用mcp-use设计和实现MCP服务器，让AI调用外部操作与数据。指南涵盖认证、交互界面、错误处理及部署，并引导查阅各功能的配套资料。
Measure the total size of a web page and its resources, identify what slows loading, and reduce unnecessary weight. Use a 1500KB limit to guide image optimization, code compression, and removal of unused resources.
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Review slow page loads and choose resource hints, browser instructions that start loading or connecting earlier. Use measurements to identify bottlenecks, then recommend preload, preconnect, prefetch, or dns-prefetch for important assets and likely next-page resources.
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Audit page loading and choose resource hints, browser instructions for fetching files or preparing connections early. Use measurements to identify delays, then suggest preload, preconnect, prefetch, or dns-prefetch for critical assets, external services, and likely next-page resources.
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Review HTTP Content-Type headers, which identify file formats, across web pages and static assets. Find mismatches that can block stylesheets or scripts, and identify server configuration changes needed to serve resources correctly.
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Investigate slow page loads and check whether resources use HTTP/2 or HTTP/3. Measure the actual bottleneck, then recommend server or CDN changes where appropriate, explaining how shared connections and compressed headers affect loading.
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Review cross-origin isolation, a browser security mode required by features such as SharedArrayBuffer. Check response headers and external resources, identify integrations that could break, and verify that isolation actually works in the browser.
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Review a website’s Content Security Policy, which controls allowed resources, and identify unsafe HTML insertion. Guide policy changes and sanitization, then verify actual HTTP responses and browser behavior in a production-like environment.
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Decide what content to create using customer questions, keyword data, and competitor coverage. The skill produces core themes, related topic maps, ranked content ideas, and calendar and distribution guidance aligned with business goals and available resources.
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Look up genes, sequences, protein structures, expression patterns, and disease associations across more than 20 bioinformatics resources using command-line tools or Python. Useful for interactive exploration, with results that can be saved for further analysis.
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Implement Java workflows for Azure AI Foundry projects using SDK examples for authentication, connected resources, datasets, search indexes, and model evaluations. The skill also covers client setup, paginated resource lists, and error handling.
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Design and configure an AWS VPC, a private cloud network, with separate public, application, and database subnets. Covers traffic routing, access rules, private service connections, and troubleshooting connectivity between resources.
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Build and maintain an inventory of hardware, software, and cloud resources. Use guidance on automated discovery, ownership records, tagging checks, and integration with a configuration database to support operations and audit preparation.
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Define and deploy Azure infrastructure with ARM templates and Bicep, languages for describing cloud resources in files. Get guidance on reusable modules, resource dependencies, environment parameters, and previewing deployment changes before applying them.
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Convert a research paper into structured files covering its problem, claims, concepts, experiments, and figure or table evidence. Validate the generated directory, ingest it into OpenViking, and check that the target resource was created.
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Use OpenViking through OpenClaw to manage long-term memories, search archived conversations, and find imported resources or Agent Skills. Inspect recall traces to understand search results and recover full tool outputs stored outside the conversation.
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Build and troubleshoot C#/.NET MCP servers that expose tools and information to AI agents. Guidance targets the official 2.x SDK and covers transport setup, authentication, interactive features, basic clients, and migration issues caused by changed defaults.
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