스킬 레이더 · GITHUB
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- Skills
- 5,771
- 저장소
- 824
- 최근 동기화
- 2026. 9. 8.
googlegoogle-cloud-recipe-onboarding
- Guides a developer's first steps on Google Cloud, covering account creation, billing setup, project management, and deploying a first resource. Use when a new developer wants to initialize their first Google Cloud project, configure billing, and verify deployment. Don't use for enterprise organization setup (use Google Cloud Setup guided flow for that instead). Don't use for complex multi-project architectures.
- 설치 수
- 3
- GitHub Stars
- 2만
- 업데이트
- 9월 6일
googlegoogle-cloud-scc-query
- Queries and retrieves active security findings, external exposures, toxic combinations, vulnerabilities, threats, and sensitive data risks from Google Cloud Security Command Center. Use when retrieving details for a security finding by its name, validating finding scope (e.g., verifying findingClass is TOXICCOMBINATION, VULNERABILITY, EXTERNALEXPOSURE, or THREAT), or fetching finding details for triage. Don't use to draft remediations, apply patches, or execute configurations.
- 설치 수
- 3
- GitHub Stars
- 2만
- 업데이트
- 9월 6일
googlegoogle-cloud-slo-alert-configuration
- Configures PromQL-based Service Level Objective (SLO) alerting policies for Google Cloud resources registered in App Hub or individually specified. Generates Terraform output. Use when the user asks to configure an SLO or Service Level Objective. Don't use for standard alerting policies.
- 설치 수
- 3
- GitHub Stars
- 2만
- 업데이트
- 9월 6일
googlegoogle-cloud-solution-agentic-ai-bidirectional-streaming
- Guides agents to interactively discover customer requirements for live, bidirectional multi-agent AI systems that process continuous streams of multimodal data for real-time technical guidance and safety monitoring. Generates a custom Google Cloud solution that uses opinionated best practices and architecture guidance. Use when users need agentic assistance to design and create a multi-product solution in the cloud for live bidirectional multimodal streaming workloads. Don't use for simple text-based chat applications or workloads without real-time streaming requirements.
- 설치 수
- 3
- GitHub Stars
- 2만
- 업데이트
- 9월 6일
googlegoogle-cloud-solution-agentic-ai-borderless-data-lakehouse
- Guides agents to discover requirements and design a governed, secure borderless open data lakehouse with agentic AI integration. Use when designing a multi-product architecture that connects data silos to AI agents, joining data across clouds, or running federated queries across Google Cloud and external data sources, including on-premises or other cloud providers. Don't use for simple single-cloud data warehouses or non-AI workloads.
- 설치 수
- 3
- GitHub Stars
- 2만
- 업데이트
- 9월 6일
googlegoogle-cloud-solution-agentic-ai-data-science-workflow
- Designs a tailored multi-product agentic data science architecture on Google Cloud that incorporates opinionated best practices. Use when architecting multi-product solutions for agent-based data analytics or ML workloads. Don't use for simple queries, non-agentic pipelines, general cloud reviews, or writing agent code.
- 설치 수
- 3
- GitHub Stars
- 2만
- 업데이트
- 9월 6일
googlegoogle-cloud-solution-agentic-analytics-spark-knowledge-catalog
- Discovers requirements and generates guidance to design and deploy a governed, secure agentic-analytics solution for data that's distributed across Google Cloud, other cloud providers, or on-premises. Data that's outside Google Cloud (such as data from Databricks, Snowflake, Salesforce, SAP, or Oracle systems) is accessed through federation mechanisms such as Apache Iceberg, other "zero-copy ETL" methods, or remote query push-down. Use this skill when designing an architecture for efficient analytics across large volumes of structured and unstructured data that's located in multiple systems and environments, including other cloud providers and on-premises.
- 설치 수
- 3
- GitHub Stars
- 2만
- 업데이트
- 9월 6일
googlegoogle-cloud-solution-architecture
- Interactively discovers requirements and designs holistic, multi-product system architectures, solution blueprints, and deployment recommendations for complex workloads on Google Cloud. Use when designing end-to-end cloud solutions, selecting and integrating Google Cloud services, generating architecture diagrams, or conducting requirements discovery for new cloud workloads or migrations. Don't use for single-product tasks (use product-specific skills), initial onboarding or authentication (use google-cloud-recipe-), Well-Architected Framework reviews or audits (use google-cloud-waf-), or workloads covered by specialized solution skills.
- 설치 수
- 3
- GitHub Stars
- 2만
- 업데이트
- 9월 6일
googlegoogle-cloud-solution-build-deploy-agents
- Designs, builds, and deploys AI agents or multi-agent systems on Google Cloud. Provides an interactive workflow to gather requirements, recommend a tailored architecture, and generate deployment instructions. Use when designing or implementing agentic systems on Google Cloud. Don't use for general Google Cloud solution architecture (use google-cloud-solution-architecture instead) or for narrow tasks targeting a single product without agent context.
- 설치 수
- 3
- GitHub Stars
- 2만
- 업데이트
- 9월 6일
googlegoogle-cloud-solution-guided-gke-ai-migration
- Guides the migration of existing AI workloads (Cloud Run, Gemini API, Gemini Enterprise Agent Platform) to self-hosted GKE inference using gcloud and kubectl. Use when the user has an existing AI inference workload (on Cloud Run, the Gemini API, Gemini Enterprise Agent Platform, or a custom VM) and wants to move it to self-hosted inference on GKE, or asks follow-up questions during such a migration (hardware sizing, model staging, manifest generation, validation, traffic cutover). DO NOT use for brand new GKE inference deployments with no existing workload to migrate (use gke-inference instead). DO NOT use if the user intends to automate the migration via the Gemini Cloud Assist MCP server.
- 설치 수
- 3
- GitHub Stars
- 2만
- 업데이트
- 9월 6일
googlegoogle-cloud-solution-hybrid-search-alloydb
- Discovers requirements and generates architectural, design, and deployment guidance for dynamic hybrid search systems by combining semantic search and keyword search. Optimized for AlloyDB hybrid search use cases in Google Cloud. Use when users need vector search combined with structured SQL filtering, faceted attributes, semantic reranking, in-database AI validation, or serverless hosting across transactional relational databases, analytical data warehouses, or managed database engines. DON'T use this skill for simple keyword-only search, or when a standalone non-relational vector database is required.
- 설치 수
- 3
- GitHub Stars
- 2만
- 업데이트
- 9월 6일
googlegoogle-cloud-solution-multi-agent-security
- Designs, deploys, and secures Google Cloud Agent Gateway solutions. Use when the user needs to configure multi-agent security, ingress (CLIENTTOAGENT), or egress (AGENTTOANYWHERE) patterns involving Model Armor, IAP, and Agent Registry. Don't use for general Cloud Load Balancing or basic VPC setup not related to Agent Gateways.
- 설치 수
- 3
- GitHub Stars
- 2만
- 업데이트
- 9월 6일
googlegoogle-cloud-solution-n-tier-serverless-web-app
- Assists in designing and implementing secure n-tier serverless web applications and microservices on Google Cloud. Use when users need architecture designs, security checklists, Terraform code, or deployment guidance for multi-tier serverless apps, regional data residency / European sovereignty compliance, zero-trust private VPC networking, or Private Service Connect. Don't use for VM, GKE, or non-Google Cloud architectures.
- 설치 수
- 3
- GitHub Stars
- 2만
- 업데이트
- 9월 6일
googlegoogle-cloud-solution-rag-enterprise-search-gke-sqldb
- Discovers requirements, and generates architectural, design, and deployment guidance for a retrieval-augmented generation (RAG)-capable enterprise search system in Google Cloud. Use when users need a vector-enabled SQL database as the store and index for the embedding vectors, an open model and open-source inferencing framework, and Kubernetes containers to host all the application components. DON'T use this skill for fully-managed RAG, or SaaS search services, or when a non-SQL vector database is required.
- 설치 수
- 3
- GitHub Stars
- 2만
- 업데이트
- 9월 6일
googlegoogle-cloud-storage-basics
- Stores, retrieves, and manages data as objects in Cloud Storage (Google Cloud Storage, or GCS) buckets. Use when you need to interact with Cloud Storage — create or configure buckets, upload, download, stream, or transfer data, organize objects with folders, generate signed URLs, control access (IAM, ACLs, public access prevention), set storage classes and tiering (Standard, Nearline, Coldline, Archive), manage cost and lifecycle, protect data (versioning, encryption/CMEK, retention and Bucket Lock, object holds, soft delete), host static websites, trigger Pub/Sub notifications on object changes, mount buckets as a file system (gcsfuse), or optimize storage performance at any scale. Covers the gcloud storage / gsutil CLI, JSON and XML APIs, client libraries, Terraform, and Cloud Storage MCP servers. Don't use for block storage (Persistent Disk), data warehousing/analytics (BigQuery), or databases (Cloud SQL, Spanner, Bigtable, Firestore).
- 설치 수
- 3
- GitHub Stars
- 2만
- 업데이트
- 9월 6일
googlegoogle-cloud-storage-bucket-architect
- Creates Cloud Storage (Google Cloud Storage, or GCS) buckets. Analyzes the workload (sensitive data, media hosting, ingestion, web hosting, archiving, backup, logging, analytics, AI/ML, or general-purpose), validates project-level security settings, and designs a secure-by-default, cost-effective configuration (location, storage class, uniform bucket-level access, public access prevention, soft delete, lifecycle) before creating it. Use whenever a user wants to create, make, set up, provision, or spin up a bucket, or needs object storage for an app, service, pipeline, or dataset — even a "simple" or "default" bucket, or when bucket creation is one step in a larger workflow. Outputs or executes the creation via gcloud, the JSON/REST API, Terraform, or SDK client libraries (C++, Java, Python, Go). Don't use for anything other than creating new buckets — for uploads, downloads, access changes, or reconfiguring existing buckets, use google-cloud-storage-basics.
- 설치 수
- 3
- GitHub Stars
- 2만
- 업데이트
- 9월 6일
googlegoogle-cloud-waf-cost-optimization
Generates cost optimization guidance for Google Cloud workloads based on the Google Cloud Well-Architected Framework (WAF). Use this skill to evaluate a workload, identify cost requirements and constraints, and provide actionable recommendations for build, deploy, and manage the workload cost-efficiently in Google Cloud.
- 설치 수
- 3
- GitHub Stars
- 2만
- 업데이트
- 9월 6일
googlegoogle-cloud-waf-operational-excellence
- Generates operations-focused guidance for Google Cloud workloads based on the design principles and recommendations in the Operational Excellence pillar of the Google Cloud Well-Architected Framework (WAF). Use this skill to evaluate a workload, identify operational requirements, and provide actionable recommendations for deployment, monitoring, and incident management.
- 설치 수
- 3
- GitHub Stars
- 2만
- 업데이트
- 9월 6일
googlegoogle-cloud-waf-performance-optimization
- Generates performance-focused guidance for Google Cloud workloads based on the design principles and recommendations in the Performance Optimization pillar of the Google Cloud Well-Architected Framework (WAF). Use this skill to evaluate a workload, identify performance requirements, and provide actionable recommendations for resource allocation, modular design, and elasticity.
- 설치 수
- 3
- GitHub Stars
- 2만
- 업데이트
- 9월 6일
googlegoogle-cloud-waf-reliability
- Generates guidance for reliability, resilience, availability, redundancy, fault-tolerance, and disaster recovery (DR) for Google Cloud workloads based on the design principles and recommendations in the Google Cloud Well-Architected Framework. Use when the user asks to evaluate, design, or improve the reliability, resilience, availability, or disaster recovery capabilities of Google Cloud workloads.
- 설치 수
- 3
- GitHub Stars
- 2만
- 업데이트
- 9월 6일
googlegoogle-cloud-waf-security
- Generates security-focused guidance for Google Cloud workloads based on the design principles and recommendations in the Google Cloud Well-Architected Framework (WAF). Use this skill to evaluate workloads, identify security requirements, and provide actionable recommendations for IAM, network security, data protection, and operational security.
- 설치 수
- 3
- GitHub Stars
- 2만
- 업데이트
- 9월 6일
googlegoogle-cloud-waf-sustainability
- Generates sustainability-focused guidance for Google Cloud workloads based on the design principles and recommendations in the Google Cloud Well-Architected Framework (WAF). Use this skill to evaluate a workload, identify environmental impact requirements, and provide actionable recommendations to build, deploy, and manage the workload sustainably in Google Cloud.
- 설치 수
- 3
- GitHub Stars
- 2만
- 업데이트
- 9월 6일
googlegoogle-mobile-ads-android-migrate-to-next-gen
Migrates Android applications from the old, legacy Google Mobile Ads (GMA) SDK (com.google.android.gms:play-services-ads) to the new GMA Next-Gen SDK (com.google.android.libraries.ads.mobile.sdk:ads-mobile-sdk). Provides comprehensive mapping tables for imports, classes, and method signatures to help determine migration steps. Use when migrating an existing Android codebase from the old, legacy GMA SDK to GMA Next-Gen SDK.
- 설치 수
- 3
- GitHub Stars
- 2만
- 업데이트
- 9월 6일
googlegoogle-mobile-ads-banner
- Provides instructions to implement, integrate, or configure Google Mobile Ads (GMA) banner ads in Android, iOS, or Unity mobile applications. Use when the task involves setting up banner ads in a mobile application. Don't use for other ad formats like interstitial or rewarded ads.
- 설치 수
- 3
- GitHub Stars
- 2만
- 업데이트
- 9월 6일