RADAR DES SKILLS · GITHUB
Des Agent Skills utiles, classés selon leur usage réel.
Comparez les Skills vérifiés par fonction, contenu, installations et fiabilité de la source avant de les ajouter.
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- Skills
- 1 033
- dépôts
- 142
- dernière synchronisation
- 31 août 2026
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.
- installations
- 6
- GitHub Stars
- 19 k
- Mis à jour
- 28 août
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.
- installations
- 6
- GitHub Stars
- 19 k
- Mis à jour
- 28 août
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.
- installations
- 6
- GitHub Stars
- 19 k
- Mis à jour
- 28 août
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.
- installations
- 6
- GitHub Stars
- 19 k
- Mis à jour
- 28 août
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.
- installations
- 6
- GitHub Stars
- 19 k
- Mis à jour
- 28 août
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.
- installations
- 6
- GitHub Stars
- 19 k
- Mis à jour
- 28 août
googlegoogle-cloud-storage-fuse
Google Cloud Storage FUSE Cloud Storage FUSE (gcsfuse) is a POSIX file system adapter over Cloud Storage's immutable object store. Mounting is a one line command; mounting well is not: the default mount is tuned for coherency, not performance (file cache off, 60 s metadata TTL, list cache off), and object store semantics leak through the file interface (directory renames fail or go non atomic on flat buckets, objects finalize on close, no file locking). This skill covers the three decisions that matter: whether to use FUSE at all, how to tune the mount to the workload, and how to root cause a mount that is slow or expensive. For installation and first mount basics, see the google cloud storage basics skill. Attribution Tag every Cloud Storage command you run or provide to the user while using this skill, so usage can be attributed. The tag identifies only the skill and its version; it ca
- installations
- 6
- GitHub Stars
- 19 k
- Mis à jour
- 28 août
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.
- installations
- 6
- GitHub Stars
- 19 k
- Mis à jour
- 28 août
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.
- installations
- 6
- GitHub Stars
- 19 k
- Mis à jour
- 28 août
googlegoogle-mobile-ads-get-started
Provides instructions for integrating the Google Mobile Ads (GMA) SDK. Use this skill when the user wants to get started with, install, integrate, set up, or configure the SDK for AdMob or Ad Manager, GMA Next-Gen SDK or mobile ads framework in an Android, iOS, or Unity application.
- installations
- 6
- GitHub Stars
- 19 k
- Mis à jour
- 28 août
googlegoogle-mobile-ads-interstitial
- Provides instructions for implementing, integrating, or configuring Google Mobile Ads (GMA) SDK interstitial ads in Android, iOS, or Unity mobile applications. Use when the task involves setting up interstitial ads. Don't use for "rewarded interstitial" ads.
- installations
- 6
- GitHub Stars
- 19 k
- Mis à jour
- 28 août
googleiam-helper-for-policy-simulator
- Safely simulates and applies Google Cloud IAM v1 (Allow) policy changes. Uses the Policy Simulator to replay historical access logs against proposed policies to prevent breaking active workloads before applying the changes. Use when simulating or applying IAM v1 allow policies across Projects, Folders, or Organizations. Don't use for analyzing IAM v2 deny policies, VPC Service Controls, or performing general policy troubleshooting.
- installations
- 6
- GitHub Stars
- 19 k
- Mis à jour
- 28 août
googleiam-helper-for-privileged-access-management
- Manages the end-to-end lifecycle of on-demand, temporary access using Privileged Access Manager (PAM). Use when a user asks to create, read, update, or delete PAM entitlements, request temporary access, or approve/deny pending PAM grants. Do NOT use for permanent IAM policy bindings, troubleshooting IAM permission errors, or general Google Cloud resource provisioning.
- installations
- 6
- GitHub Stars
- 19 k
- Mis à jour
- 28 août
googleima-dai-sdk
- Integrates the Google Interactive Media Ads (IMA) Dynamic Ad Insertion (DAI) SDK into websites, web apps, mobile apps, or TV apps. Use when: - A video player needs to load and play HLS or DASH streams in web apps, Android apps, iOS apps, tvOS apps, Cast (CAF) receivers, or Roku channels. - The app needs to make use of a Google DAI livestream event asset key, or content source CMS ID, video ID for video on demand. Don't use this skill to load and play a VAST or VMAP URL.
- installations
- 6
- GitHub Stars
- 19 k
- Mis à jour
- 28 août
googleima-sdk-client-side
- Supports Interactive Media Ads (IMA) SDK. Use this skill for client-side ad insertion when you are requesting video ads for websites, apps, TVs or other platforms using VAST or VMAP. Do not use for Dynamic Ad Insertion (DAI), SSAI, or SGAI.
- installations
- 6
- GitHub Stars
- 19 k
- Mis à jour
- 28 août
googlemanaged-airflow-dag-authoring
- Provides guidance for authoring Apache Airflow DAGs in Managed Service for Apache Airflow (MSAA; formerly Cloud Composer). Covers environment context discovery, Airflow 2 vs 3 compatibility, authoring best practices, and local/remote validation processes. Use when creating or extending an Airflow DAG. Don't use when authoring Python code unrelated to Airflow DAGs.
- installations
- 6
- GitHub Stars
- 19 k
- Mis à jour
- 28 août
googlemanaged-airflow-dag-troubleshooting
- Provides guidance for troubleshooting Apache Airflow DAGs (failed DAG runs and task instances) in Managed Service for Apache Airflow (MSAA; formerly Cloud Composer). Use when figuring out reasons for DAG run or task instance failures. Don't use when looking for overall recommendations for Managed Airflow environment performance.
- installations
- 6
- GitHub Stars
- 19 k
- Mis à jour
- 28 août
googlemanaged-airflow-migrations
Provides guidance for migrating Apache Airflow DAGs in Managed Service for Apache Airflow (MSAA; formerly Cloud Composer). Covers migration to Airflow 2.11.1 (MSAA Gen 2 and 3) and Airflow 3 (MSAA Gen 3), including environment inspection, GCS download/upload and scanning patterns for breaking changes. Use when migrating the DAG code to newer Airflow version. Don't use when checking DAG run failures unrelated to code migration.
- installations
- 6
- GitHub Stars
- 19 k
- Mis à jour
- 28 août
googleworkload-manager-basics
- Use this skill to manage Google Cloud Workload Manager evaluations, rules, scanned resources, and validation results by using public client libraries and the REST API. Use when you need to inspect workload best-practice rules, create and run evaluations for Google Cloud general best practices, SAP, SQL Server, or custom organizational rules, review violations, export results to BigQuery, or automate Workload Manager through client libraries because no service-specific public CLI or MCP server is available. Don't use for general Google Compute Engine instance management, VPC configuration, or standard IAM auditing.
- installations
- 6
- GitHub Stars
- 19 k
- Mis à jour
- 28 août
googleagent-platform-migrate-from-ai-studio
- 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).
- installations
- 6
- GitHub Stars
- 19 k
- Mis à jour
- 28 août
googleagent-platform-troubleshooting
- Troubleshoots Google Cloud Gemini Enterprise Agent Platform issues (Agent Gateway, Registry, Identity, Policies, Model Armor, Identity-Aware Proxy (IAP)). Use when agent requests fail with 403 (especially unauthorized egress), Agent Runtime queries return 500, or gateway/IAP logs show permission errors. Don't use for general Google Cloud Identity and Access Management (IAM) debugging or networking issues unrelated to the Agent Platform stack.
- installations
- 6
- GitHub Stars
- 19 k
- Mis à jour
- 28 août
googleagent-platform-tuning-management
- 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).
- installations
- 6
- GitHub Stars
- 19 k
- Mis à jour
- 28 août
googlebigquery-bigframes
- Generates Python code using BigQuery DataFrames (BigFrames), the pandas/scikit-learn-style API over BigQuery. Use when writing BigFrames code or doing pandas-style dataframe/ML work against BigQuery (e.g. in a notebook). Don't use for SQL-first workflows or the google-cloud-bigquery client library — use bigquery-basics.
- installations
- 6
- GitHub Stars
- 19 k
- Mis à jour
- 28 août
googlebigtable-basics
- Assists in provisioning instances/tables, designing performant schemas, and querying data in Bigtable. Use when designing Bigtable row keys, configuring column families, writing SQL queries or client library code (Java, Go, Python) for Bigtable, or diagnosing performance/hotspotting issues. Also use when provisioning Bigtable clusters using gcloud or cbt CLIs. Don't use for generic Cloud SQL administration.
- installations
- 6
- GitHub Stars
- 19 k
- Mis à jour
- 28 août