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Found 395 Skills
Use when assessing cloud infrastructure for security misconfigurations, IAM privilege escalation paths, S3 public exposure, open security group rules, or IaC security gaps. Covers AWS, Azure, and GCP posture assessment with MITRE ATT&CK mapping.
Use when the user asks to set up secret management infrastructure, integrate HashiCorp Vault, configure cloud secret stores (AWS Secrets Manager, Azure Key Vault, GCP Secret Manager), implement secret rotation, or audit secret access patterns.
GitHub Actions, GitLab CI/CD, Jenkins, Azure DevOps, build and test strategies, and deployment patterns
Search and retrieve Microsoft Customer Stories from the official Microsoft Customer Stories site (https://www.microsoft.com/en-us/customers/search). Use when the user asks to find customer case studies, success stories, or reference examples of Microsoft technology adoption. Supports filtering by product (Azure, M365, Dynamics 365, etc.), region/country, industry, business need, organization size, and keyword search. Can also fetch individual story details. Typical triggers include questions like "Find customer stories about Azure OpenAI in Japan", "Show me healthcare companies using Microsoft 365 Copilot", or "日本の製造業でAIを活用した事例を探して".
Process use when you need to archive historical database records to reduce primary database size. This skill automates moving old data to archive tables or cold storage (S3, Azure Blob, GCS). Trigger with phrases like "archive old database records", "implement data retention policy", "move historical data to cold storage", or "reduce database size with archival".
Production-ready CI/CD configurations for Playwright — GitHub Actions, GitLab CI, CircleCI, Azure DevOps, Jenkins, Docker, parallel sharding, reporting, code coverage, and global setup/teardown.
Implements Syncfusion WPF Smart Text Editor (SfSmartTextEditor), an AI-powered multiline input control with intelligent text completion. Use this when implementing smart text editors, AI-powered text input, or predictive text suggestions in WPF applications. The control provides context-aware typing assistance through integration with AI services including Azure OpenAI, OpenAI, Ollama, Claude, Gemini, Groq, and DeepSeek. Features include dual suggestion display modes (inline/popup), custom phrase libraries for offline suggestions, full text customization, and comprehensive command handling for workflow integration.
Build .NET applications with WolverineFX for messaging, HTTP services, and event sourcing. Use when implementing command handlers, message handlers, HTTP endpoints with WolverineFx.HTTP, transactional outbox patterns, event sourcing with Marten, CQRS architectures, cascading messages, batch message processing, or configuring transports like RabbitMQ, Azure Service Bus, or Amazon SQS.
This skill guides writing cloud-init configurations for VM provisioning. Use when creating user_data blocks in Terraform/OpenTofu, or cloud-init YAML for AWS, DigitalOcean, GCP, or Azure instances.
Cloud object storage integration with AWS S3, Azure Blob Storage, and Google Cloud Storage. Covers presigned URLs, multipart uploads, bucket policies, lifecycle rules, and CDN integration. USE WHEN: user mentions "S3", "blob storage", "cloud storage", "object storage", "presigned URL", "file upload to cloud", "GCS", "Azure Blob", "bucket" DO NOT USE FOR: local file uploads - use `file-upload`; database BLOB columns; local filesystem operations
Guides FinOps analysis on AWS, GCP, and Azure—cost visibility and allocation, tagging and showback/chargeback models, rightsizing and waste removal, RI/Savings Plan/CUD recommendations, budgets and forecasts, anomaly detection, unit economics (cost per service/customer), and FinOps cadence with engineering accountability. Use when optimizing cloud spend, analyzing CUR/billing exports, building cost dashboards, explaining bill spikes, or improving allocation—not for GL mapping, capex, depreciation, or month-end ledger close (compute-accounting-manager), enterprise EA negotiation (enterprise-cloud-architect), hands-on resource provisioning (cloud-engineer), or hardware supply efficiency (data-center-compute-supply-efficiency).
Multi-cloud security assessment skill for AWS, Azure, and GCP. This skill should be used when performing cloud security audits, scanning for misconfigurations, testing IAM policies, auditing storage permissions, and identifying privilege escalation paths. Triggers on requests to audit cloud security, scan AWS/Azure/GCP, check cloud misconfigurations, or perform cloud penetration testing.