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概要と使いどころ
Deploy a new LLM model via LiteLLM (GitOps) and/or Azure (Terraform + node backend), add it to the ai toolkit, create the required pull requests, and verify end-to-end. Use when rolling out a model to any environment, adding a model to the toolkit, troubleshooting "model not available" errors, or finding pricing/token limits/model ids for any provider.
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Detects and prevents code injection attacks targeting serverless functions (AWS Lambda, Azure Functions, Google Cloud Functions) through event source poisoning, malicious layer injection, runtime command execution, and IAM privilege escalation via function modification. The analyst combines static analysis of function code, CloudTrail event correlation, runtime behavior monitoring, and IAM policy auditing to identify injection vectors across the expanded serverless attack surface including API Gateway, S3, SQS, DynamoDB Streams, and CloudWatch event triggers. Activates for requests involving Lambda security assessment, serverless injection detection, function event poisoning analysis, or serverless privilege escalation investigation.
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This skill teaches security teams how to detect and respond to unauthorized cryptocurrency mining operations in cloud environments. It covers identifying cryptomining indicators through compute usage anomalies, network traffic patterns to mining pools, GuardDuty CryptoCurrency findings, and runtime process monitoring on EC2, ECS, EKS, and Azure Automation workloads.
日本語の概要は準備中です。原文の説明を表示しています。
Detecting compromised cloud credentials across AWS, Azure, and GCP by analyzing anomalous API activity, impossible travel patterns, unauthorized resource provisioning, and credential abuse indicators using GuardDuty, Defender for Identity, and SCC Event Threat Detection.
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This skill outlines methodologies for performing authorized penetration testing against AWS, Azure, and GCP cloud environments. It covers understanding the shared responsibility model for testing scope, leveraging cloud-specific attack tools like Pacu and ScoutSuite, exploiting IAM misconfigurations, testing for SSRF to cloud metadata services, and reporting findings aligned to MITRE ATT&CK Cloud matrix.
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This skill covers deploying Microsoft Sentinel as a cloud-native SIEM and SOAR platform for centralized security operations. It details configuring data connectors for multi-cloud log ingestion, writing KQL detection queries, building automated response playbooks with Logic Apps, and leveraging the Sentinel data lake for petabyte-scale threat hunting across AWS, Azure, and GCP security telemetry.
日本語の概要は準備中です。原文の説明を表示しています。
Expert cloud architect specializing in multi-cloud strategies, scalable architectures, and cost-effective solutions. Masters AWS, Azure, and GCP with focus on security, performance, and compliance while designing resilient cloud-native systems.
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Help and guidance for Azure DevOps synchronization with SpecWeave increments. Use when asking how to set up ADO sync, configure credentials, or troubleshoot integration issues. For actual syncing, use /sw-ado:sync command.
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Bidirectional conversion between SpecWeave increments and Azure DevOps work items. Use when exporting increments to ADO epics, importing ADO epics as increments, or resolving sync conflicts. Handles Epic/Feature/User Story/Task hierarchy mapping.
日本語の概要は準備中です。原文の説明を表示しています。
Deploy Abridge clinical AI integration to HIPAA-compliant cloud infrastructure. Use when deploying to GCP Cloud Run, AWS ECS, or Azure Container Apps with healthcare-grade secrets management and compliance controls. Trigger: "deploy abridge", "abridge production deploy", "abridge Cloud Run", "abridge AWS deploy", "abridge HIPAA infrastructure".
日本語の概要は準備中です。原文の説明を表示しています。
Enterprise messaging with queues, topics, and subscriptions.
日本語の概要は準備中です。原文の説明を表示しています。
Real-time messaging with WebSocket connections and pub/sub patterns.
日本語の概要は準備中です。原文の説明を表示しています。
Build search applications with vector, hybrid, and semantic search capabilities.
日本語の概要は準備中です。原文の説明を表示しています。
Auto-instrument Node.js applications with distributed tracing, metrics, and logs.
日本語の概要は準備中です。原文の説明を表示しています。
Text and document translation with REST-style clients.
日本語の概要は準備中です。原文の説明を表示しています。
Extract text, tables, and structured data from documents using prebuilt and custom models.
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Centralized configuration management with feature flags and dynamic refresh.
日本語の概要は準備中です。原文の説明を表示しています。
High-throughput event streaming and real-time data ingestion.
日本語の概要は準備中です。原文の説明を表示しています。
Build real-time chat applications with thread management, messaging, participants, and read receipts.
日本語の概要は準備中です。原文の説明を表示しています。
Build server-side call automation workflows including IVR systems, call routing, recording, and AI-powered interactions.
日本語の概要は準備中です。原文の説明を表示しています。
Build real-time voice AI applications with bidirectional WebSocket communication.
日本語の概要は準備中です。原文の説明を表示しています。
Analyze text and images for harmful content with customizable blocklists.
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Deploy containerized frontend + backend applications to Azure Container Apps with remote builds, managed identity, and idempotent infrastructure.
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Set up CI/CD pipelines for Adobe App Builder projects. Generates GitHub Actions workflows using adobe/aio-cli-setup-action@3 and adobe/aio-apps-action@3.3.0, plus patterns for Azure DevOps and GitLab CI. Handles OAuth S2S secrets injection, multi-workspace promotion (stage → prod), deploy gating with manifest validation. Use this skill whenever the user mentions CI/CD for App Builder, GitHub Actions for aio deploy, automated deployment pipelines, continuous integration, continuous delivery, deploy automation, multi-environment promotion, aio app add ci, or wants to automate their App Builder build and release process. Also trigger when users mention deploy workflows, release pipelines, or GitHub secrets for App Builder.
日本語の概要は準備中です。原文の説明を表示しています。