「ai deployment」の検索結果

Configures host-based intrusion detection systems (HIDS) to monitor endpoint file integrity, system calls, and configuration changes for security violations. Use when deploying OSSEC, Wazuh, or AIDE for endpoint monitoring, building file integrity monitoring (FIM) policies, or meeting compliance requirements for change detection. Activates for requests involving HIDS configuration, file integrity monitoring, OSSEC/Wazuh deployment, or host-based detection.

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。

Comprehensive Cline SDK skill for building AI agents. Covers the direct Agent runtime, ClineCore sessions, custom tools, plugins, events, LLM providers, scheduling, multi-agent teams, and production deployment. Use for any task involving @cline/sdk or its sub-packages.

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。

Comprehensive data science workflow skill for analyzing tabular and time series data. Use when conducting exploratory data analysis, building predictive models, performing feature engineering, or generating data-driven insights. Supports end-to-end analysis from data understanding through model deployment, following industry best practices for regression, classification, time series forecasting, and statistical analysis.

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。

Load when evaluating an Islamic software feature, provider policy, AI behavior, moderation, monetization, privacy, defaults, ranking, self-hosting, or deployment model for provider responsibility and Islamic value-sensitive design; not for generic fiqh rulings or ordinary technical implementation.

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。

Operational safety for deployless repositories. Use after mainline deployment and runtime release controls are designed, when a repo needs traces, replay tests, observability, rollback drills, smoke checks, compatibility windows, or expand-contract migration safety.

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。

Use when working with Convex — convex backend platform management covering project inventory, table schemas, function deployments, scheduled job status, index configuration, environment variable auditing, and usage metrics. Use for comprehensive Convex project health and resource optimization.

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。

Use when working with Cube Dev — cube.dev semantic layer management — monitor deployments, data models, pre-aggregations, query performance, and API health. Use when inspecting cube schemas, debugging slow queries, reviewing pre-aggregation builds, or auditing API usage.

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。

Use when working with Coolify — coolify self-hosted PaaS management covering application inventory, service status, deployment history, server resource utilization, database instances, S3 storage configurations, webhook settings, and team management. Use for managing Coolify-based 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。

Use when working with Cloud Custodian — cloud Custodian policy engine management. Covers policy authoring, dry-run execution, resource filtering, action enforcement, multi-cloud support (AWS/Azure/GCP), Lambda deployment, compliance reporting, and policy organization. Use when managing Cloud Custodian policies, auditing cloud resources, enforcing compliance rules, or reviewing policy execution results.

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。

Use when working with Cdktf — cDK for Terraform (CDKTF) project and stack management. Covers project synthesis, provider generation, stack deployment, output inspection, and diff analysis using TypeScript, Python, Go, Java, or C#. Use when working with CDKTF projects, synthesizing Terraform configurations, deploying stacks, or debugging provider bindings.

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。

Use when working with Cloudflare Workers Deep — deep analysis of Cloudflare Workers deployments including script inventory, route mappings, KV namespace usage, Durable Objects, cron triggers, CPU time metrics, and error rate tracking. Use for comprehensive Workers platform health checks and optimization.

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。

Use when working with Checkmk — checkmk infrastructure and application monitoring platform for hosts, services, network devices, and cloud resources. Covers host/service status, event console, rule management, agent deployment, and WATO configuration. Use when checking Checkmk monitoring status, investigating service problems, managing host configurations, or reviewing monitoring rules.

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。

Use when working with Azure Functions Deep — deep Azure Functions analysis covering function app inventory, trigger types, execution metrics, scaling behavior, slot deployments, application insights integration, and consumption plan cost tracking. Provides optimization guidance for cold starts and memory usage.

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。

Use when working with Aws Gamelift — aWS GameLift fleet management including game server deployments, fleet scaling, matchmaking configuration, game session monitoring, and player session tracking. Covers fleet health, capacity utilization, matchmaking metrics, and cost analysis.

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。

Use when working with Azure Iot Hub — azure IoT Hub management including device registry, device twins, message routing, endpoints, jobs, and IoT Edge deployments. Covers device connectivity status, message throughput, routing health, quota utilization, and Edge module monitoring.

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。

Use when working with Bentoml — bentoML model serving and packaging management. Covers service management, model packaging, deployment status, API testing, Bento building, and runner configuration. Use when packaging ML models for serving, deploying BentoML services, debugging inference issues, or managing model artifacts.

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。

Use when working with Appwrite — appwrite backend platform management covering project inventory, database collections, user authentication stats, storage bucket usage, function deployments, webhook configuration, and platform health. Use for comprehensive Appwrite project assessment and resource monitoring.

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。

Use when working with Appsmith — appsmith low-code platform management covering application inventory, workspace organization, datasource health, page and widget analysis, and user access auditing. Use when reviewing internal tool configurations, investigating datasource connectivity, monitoring application deployments, or auditing workspace permissions.

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。

Use when working with Aws Cdk — aWS CDK infrastructure-as-code management. Covers synth, diff, deploy, bootstrap, context values, construct inspection, and stack dependencies. Use when managing CDK applications, reviewing synthesized templates, comparing deployments, or debugging construct issues.

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。

Use when working with Apigee — apigee API platform management - API proxy deployment, environment configuration, analytics and traffic analysis, developer and app management. Use when managing Apigee-based API infrastructure, deploying proxies, analyzing API traffic patterns, or managing developer portal resources.

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。

Use when working with Aws Cdk Deep — aWS CDK application and stack management. Covers stack synthesis, CloudFormation template inspection, diff analysis, deployment orchestration, context values, asset management, and construct library usage. Use when managing CDK apps, debugging synthesis errors, reviewing stack diffs, or analyzing deployed CloudFormation resources.

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。

Use when working with Atlantis — atlantis pull request automation for Terraform. Covers plan/apply via PR comments, workspace management, project configuration, server status, lock management, and repository configuration. Use when managing Atlantis deployments, debugging PR plan/apply issues, or configuring project workflows.

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。

Use when working with Gcp Cloud Deploy — google Cloud Deploy delivery pipeline management, release tracking, rollout status monitoring, approval workflows, and deployment diagnostics via gcloud CLI.

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。

Use when working with Aws Lambda — aWS Lambda function analysis, invocation metrics, cold start analysis, layer management, and concurrency tracking. Covers function configuration review, error rate analysis, duration percentiles, provisioned concurrency utilization, and deployment package optimization.

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。