クラウド、CI/CD、監視、デプロイ（7,159 件）
Teaches the fundamentals of Google Cloud Build (GCB). Covers core concepts, API enablement, console navigation to the Build History page, and the end-to-end workflow for creating and manually running a basic build trigger. Do not use for managing private pools or complex pipeline architectures.
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。
Provides data-retrieval best practices, tool selection guidance, and performant SQL query syntax for BigQuery telemetry across INFORMATION_SCHEMA, Cloud Monitoring, and the REST API. Use when the telemetry to fetch is already known, selecting telemetry tools, writing performant INFORMATION_SCHEMA queries, retrieving telemetry for diagnosing single-job performance bottlenecks, investigating slot contention, job concurrency and queue latency, analyzing reservation capacity, utilization and autoscaling saturation, or auditing capacity-based and on-demand compute and storage resource billable usage. Don't use for root-cause diagnosis or symptom troubleshooting when the cause is unknown (use bigquery-troubleshooting first), or for writing or optimizing business logic SQL (use bigquery-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。
Processes GCP infrastructure design and deployment workflows within Application Design Center (ADC). Use when: - Designing GCP infrastructure with Terraform. - Validating local HCL. - Performing best-practice plan scans. - Importing templates to Application Design Center (ADC). - Deploying templates. - Troubleshooting deployment failures. Boundaries: - Only use for GCP-specific cloud infrastructure. - Only use for Terraform coding within the ADC context.
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。
Manages GenAI tuning jobs in Agent Platform. Use this to list, get, or cancel ongoing model tuning jobs. Don't use for fine-tuning models (use `agent-platform-tuning`), deploying models to endpoints (use `agent-platform-deploy`), or managing serving endpoints (use `agent-platform-endpoint-management`).
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。
Agent Platform Model Registry Management. Use when you need to upload, list, describe, update, or delete machine learning models (and their versions) in the Agent Platform Model Registry. Don't use for model training, model deployment to endpoints, or managing non-Agent Platform models.
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。
Guides agents and users through migrating from Gemini API in Google AI Studio to Gemini Enterprise Agent Platform (formerly Vertex AI). Use this skill when moving applications to Google Cloud, to leverage Cloud credits, or to unify inferencing with other Cloud infrastructure (IAM, billing, 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。
Deploy open models or custom weights from Model Garden to Agent Platform endpoints, check the status of an in-progress deployment operation, or clean up resources by undeploying models and deleting endpoints. Use when asked to actively deploy a model, list the Model Garden CATALOG of available models, check if a specific model is deployable (`gcloud ai model-garden models list-deployment-config`), query deployment cost, troubleshoot deployment errors (like quota limits), or undeploy/clean up endpoints. Also use when copying and deploying a 1P Tuned Model. Don't use for pure listing/discovery questions of the form "is X deployed?", "list my endpoints", or "which regions have models running?" — for those use `agent-platform-endpoint-management`. Don't use for public Vertex AI deployments (use the `vertex-deploy` skill) or for running model evaluations (use the `agent-platform-eval-flywheel` skill).
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。
Analyzes Google Cloud BigQuery slot consumption, query costs, and execution bottlenecks using INFORMATION_SCHEMA. Use when diagnosing slow BigQuery queries, slot starvation, high on-demand query costs, unpartitioned table scans, or join performance issues. Don't use for generic BigQuery administration (use bigquery-basics), BigQuery ML (use bigquery-ai-ml), or DataFrame operations (use bigquery-bigframes).
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。
Manages Agent Platform serving endpoints. Use when you need to create, list, describe, update, or delete serving endpoints for model deployment on Agent Platform. Also use when troubleshooting endpoint permission, quota, or resource busy errors. Don't use for deploying models to endpoints or for running model evaluations.
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。
When the user wants to monitor brand mentions, detect trademark infringement, or set up brand monitoring. Also use when the user mentions "brand monitoring," "brand watch," "trademark watch," "brand mentions," "impersonation detection," "counterfeit detection," or "brand abuse monitoring." For enforcement, use brand-protection.
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。
Shopify/DTC brand protection toolkit. Detect counterfeit stores, unauthorized resellers, and trademark violations. Includes DMCA takedown templates, domain monitoring, and social media infringement detection. No API key required.
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。
Drafts a state-court complaint for breach of a real property purchase agreement. Triggers when the user needs to initiate a lawsuit for breach of a real estate purchase contract, purchase agreement breach, or buyer/seller contract dispute. Covers caption, jurisdiction/venue, party allegations, chronological facts, contract elements, damages, and prayer for relief.
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Drafts corporate board of directors meeting minutes. Triggers on "board minutes", "minutes of board meeting", "board of directors meeting minutes", "corporate minutes", "board resolutions", or "bylaws compliance".
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When the user faces brand impersonation, fake websites, phishing sites, or trademark infringement. Also use when the user mentions "fake site," "impersonation," "phishing site," "trademark infringement," "domain squatting," or "brand abuse." For monitoring, use brand-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。
Drafts Articles of Dissolution (Certificate of Dissolution) for U.S. corporations to terminate legal existence via state filing. Reviews articles of incorporation, bylaws, board resolutions, and shareholder consents for jurisdiction-specific compliance. Use when preparing dissolution filings, terminating a corporation, or drafting dissolution certificates for Secretary of State submission.
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。
Drafts an ADA failure-to-accommodate complaint for federal or state court filing. Covers Title I employment (42 U.S.C. § 12112) and Title III public accommodations (42 U.S.C. § 12182), including EEOC exhaustion, interactive process failures, and prayer for relief. Use when drafting an ADA complaint, disability discrimination pleading, failure-to-accommodate lawsuit, or right-to-sue complaint.
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。
对 AI 治理合规 profile 做单点调整——不需要重跑整个 cold-start 访谈。可调公司基础信息、AI 活动角色（Provider/Deployer）、监管足迹、红线清单、用例注册表、供应商立场、政策承诺、备案状态、集成状态 9 大节中的任意子项。 用户说"改我的 [某项]""更新一下 ai-governance profile""调一下红线""微调供应商立场""customize"时触发。 本 skill 仅覆盖中国大陆 AI 治理法规——其他法域 AI 治理请走当地服务或律所。
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。
Generate a fully customized Amazon Connect AI agent PoC bundle (Lambda handlers, OpenAPI spec, AI agent prompt, Contact Flows, CloudFormation/CDK infrastructure, FAQ knowledge base) from a ~15-minute structured interview — or from a requirements doc, a flow sketch, or an existing flow/prompt you want to improve. Triggers on "amazon connect", "aicc", "contact center AI", "connect ai agent", "connect ai agents domain", "agentic cx designer", "acxd", "connect customer", "agentic cx block", "requirements document", "improve my contact flow", "flow sketch", "\uc544\ub9c8\uc874 \ucee4\ub125\ud2b8", "\ucee8\ud0dd\uc13c\ud130 AI \uc0c1\ub2f4\uc6d0".
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。
Generate a fully customized Amazon Connect AI agent PoC bundle (Lambda handlers, OpenAPI spec, AI agent prompt, Contact Flows, CloudFormation/CDK infrastructure, FAQ knowledge base) from a ~15-minute structured interview — or from a requirements doc, a flow sketch, or an existing flow/prompt you want to improve. Use when the user wants to build, scaffold, prototype, or refine an Amazon Connect contact center, an AI voice/chat agent on Amazon Connect, or any contact-center use case that mentions Connect, Lex, Wisdom, Q in Connect, "AI agent domain", or Agentic CX Designer (ACXD, Connect Customer, the Agentic CX block — the ACXD runtime target). Also triggers on "I have a requirements document", "turn this flow sketch into a Contact Flow", or "improve my existing Contact Flow / AI prompt". Produces 6 asset packages on local disk.
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。
Best practices for building and maintaining applications with PowerSync: Cloud and self-hosted setup, sync configuration, client SDK usage, backend integration (Supabase, custom Postgres, MongoDB, Azure DocumentDB, MySQL, MSSQL), schema changes, watch and reactive queries (useQuery), attachments, the upload queue, and debugging. Use this skill whenever the user mentions PowerSync, a @powersync/* package (@powersync/web, @powersync/react-native, @powersync/node), the powersync Flutter/Dart package, the powersync Rust crate, wa-sqlite, offline-first sync, local-first architecture, sync rules, sync streams, uploadData, fetchCredentials, disconnectAndClear, logout or user switching in a synced app, real-time data replication, Electric Cloud migration, Electric Shapes, an app stuck on Syncing, data not syncing, or wants to add offline-capable sync to a mobile or web app, even if they do not explicitly name PowerSync.
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。
Spring Boot 4 observability with Actuator, Micrometer, and OpenTelemetry. Use when configuring health indicators, health checks, custom metrics, distributed tracing, production endpoint exposure, Kubernetes probes, Cloud Run probes, logging, or monitoring. Covers Actuator endpoint security, Micrometer Timer/Counter/Gauge patterns, OpenTelemetry span customization, liveness/readiness probe setup, and metric tag best practices.
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。
Automate semantic versioning releases with CHANGELOG validation, comparison link management, GitHub Actions workflow triggering, and monitoring. Scaffold release infrastructure for new projects. Use when user runs /release command, mentions "release version", "cut a release", "create release", "publish release", "tag release", "release setup", or "scaffold release pipeline".
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Scaffold or migrate a repository onto release-please. Generates release-please-config.json, .release-please-manifest.json, and a release-please.yml workflow, plus an opt-in menu of tag-keyed deploy/publish templates (Docker/ECR matrix, frontend host deploy, npm OIDC publish, GitHub Release asset, Fly.io deploy, generic). Supports monorepo (mutual exclude-paths matrix), single-package, and mixed-language (node/simple/python) repos. Use when user runs /release-please-setup, mentions "release please", "set up release please", "automate releases", "conventional-commit releases", "monorepo release automation", or "migrate to release-please".
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。
Master defensive Bash scripting for production automation, CI/CD pipelines, and system utilities. Expert in safe, portable, and testable shell scripts with POSIX compliance, modern Bash 5.x features, and comprehensive error handling. Use when writing shell scripts, bash automation, CI/CD scripts, system utilities, or mentions "bash", "shell script", "automation", "defensive programming", or needs production-grade shell code.
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。