技能雷达 · GITHUB
值得安装的 Agent Skills。
汇总公开仓库中已验证的 Skills。安装前先看清它能做什么、包内包含什么、热度如何，以及来源是否可靠。
- 目录范围
- 已验证
- Skills
- 10,772
- 仓库
- 1711
- 最近同步
- 2026年9月23日
michal-niedzwiedzkivisimark
Use when authoring, editing, or verifying a Markdown document containing arithmetic — a quote, invoice, budget, estimate, payment schedule, or engineering calculation — or when working in a repository that contains vmark blocks or a visimark dependency.
- 安装量
- 1
- GitHub Stars
- 0
- 最近更新
- 9月17日
quiliumioquilium-webmaster
Load when operating a Quilium CMS site that already runs — writing or editing content blocks, managing pages, uploading media, adding items to a collection, translating, reordering navigation, auditing or filling SEO metadata, importing from a file. Covers the working discipline of a content session and the mistakes that corrupt data without raising an error. Triggers on "add a page", "edit this block", "add a field to the form", "change the form validation", "the form email", "upload an image", "add an article", "translate this", "publish this", "fill the meta descriptions", "import this spreadsheet", "reorder the menu". For structural work — YAML types, routes, templates, a site that doesn't exist yet — use quilium-builder instead.
- 安装量
- 1
- GitHub Stars
- 0
- 最近更新
- 9月15日
googleagent-platform-deploy
- 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).
- 安装量
- 1
- GitHub Stars
- 2万
- 最近更新
- 9月16日
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.
- 安装量
- 1
- GitHub Stars
- 2万
- 最近更新
- 9月16日
googlealloydb-basics
- Manages clusters, instances, and backups for AlloyDB for PostgreSQL, and integrates with AlloyDB Model Context Protocol (MCP) tools for automated database operations. Use when creating, configuring, or administering AlloyDB databases. Do NOT use for general PostgreSQL instances (e.g. Cloud SQL) or other GCP databases.
- 安装量
- 1
- GitHub Stars
- 2万
- 最近更新
- 9月16日
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.
- 安装量
- 1
- GitHub Stars
- 2万
- 最近更新
- 9月16日
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.
- 安装量
- 1
- GitHub Stars
- 2万
- 最近更新
- 9月16日
googlecloud-build-basics
- 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.
- 安装量
- 1
- GitHub Stars
- 2万
- 最近更新
- 9月16日
googlecloud-databases-onboarding
- Guides users through discovering their database requirements, recommends a Google Cloud database based on a recommendation matrix, and assists in database creation. Use when a user asks 'What database service should I use?', 'Help me pick a database', or when a user wants to create a new database on Google Cloud. Don't use for general Google Cloud maintenance, managing existing databases, or database migrations.
- 安装量
- 1
- GitHub Stars
- 2万
- 最近更新
- 9月16日
googlecloud-logging-configuration-basics
- Configure single-project Google Cloud Logging: regional log buckets, log sinks, log views, restricting or hiding sensitive logs in the default view (Default) filter, IAM permissions for views (Logs View Accessor, IAM conditions), logs-based metrics, log exclusions, and sampling. Don't use for cross-project logging or multi-project setups.
- 安装量
- 1
- GitHub Stars
- 2万
- 最近更新
- 9月16日
googlecloud-logging-cross-project-configuration
- Configure and troubleshoot Google Cloud cross-project centralized logging and read-time aggregation. Use when: - Setting up log routing from multiple projects/folders/organizations to a central log bucket. - Creating cross-project log sinks and configuring central log buckets. - Troubleshooting cross-project routing. Don't use for single-project basic configurations.
- 安装量
- 1
- GitHub Stars
- 2万
- 最近更新
- 9月16日
googlecloud-logging-query-generation
- Generates Logging Query Language (LQL) queries for Google Cloud Logging from natural language. Use this skill when you need to query log data or when you are debugging issues. You can filter log data by Google Cloud service. Don't use this skill to query other databases, such as SQL or Cloud Spanner.
- 安装量
- 1
- GitHub Stars
- 2万
- 最近更新
- 9月16日
googlecloud-monitoring-chart-generation
- Generates Google Cloud Monitoring Server-Driven UI (SDUI) Widget and XyChart Protocol Buffer textprotos from resolved PromQL or ListTimeSeries queries. Use when: - Generating valid google.monitoring.dashboard.v1.Widget textprotos, containing PrometheusQuery or TimeSeriesFilter datasets, for use with the Cloud Monitoring Dashboards API, gcloud CLI, or declarative dashboard definitions. - Synthesizing Server-Driven UI (SDUI) widget titles, axis labels, and plot types for Prometheus or ListTimeSeries queries. Don't use for: - Metric discovery or PromQL query generation. For those tasks, use the cloud-monitoring-metric-selection or cloud-monitoring-promql-query skills.
- 安装量
- 1
- GitHub Stars
- 2万
- 最近更新
- 9月16日
googlecloud-monitoring-list-time-series-request
- Generates valid Cloud Monitoring ListTimeSeries requests and aggregation specifications from metric descriptors and resource parameters. Use when asked to create, generate, format, or build ListTimeSeries requests, JSON payloads, filter expressions, or aligner/reducer aggregations for Cloud Monitoring metrics and charts. Don't use for metric discovery or metric selection.
- 安装量
- 1
- GitHub Stars
- 2万
- 最近更新
- 9月16日
googlecloud-monitoring-promql-query
- Generates valid PromQL queries from Cloud Monitoring metric descriptors and resource parameters. Use when asked to create, generate, write, or format PromQL queries, PromQL strings, or PromQL aggregations for Cloud Monitoring metrics and resources. Don't use for raw metric discovery or metric selection.
- 安装量
- 1
- GitHub Stars
- 2万
- 最近更新
- 9月16日
googlecloud-run-alert-configuration
- Configures best-practice, high-signal alerting policies for Google Cloud Run resources (services, jobs, and worker pools) based on seasoned SRE practices. Use when analyzing, recommending, writing, or deploying Terraform PromQL alerting policies to monitor Cloud Run error rates (4xx/5xx), request latency, container instance saturation (warning/critical), container CPU/memory utilization and allocation, billable instance time, job execution status, and worker pool queue backlog. Don't use for GKE workloads (use gke-alert-configuration) or Compute Engine VMs.
- 安装量
- 1
- GitHub Stars
- 2万
- 最近更新
- 9月16日
googlecloud-run-basics
- Manages Cloud Run services, jobs, and worker pools. Use when you need to deploy applications responding to HTTP requests (services), run event-triggered or scheduled tasks (jobs), or handle always-on pull-based background processing (worker pools).
- 安装量
- 1
- GitHub Stars
- 2万
- 最近更新
- 9月16日
googlecloud-sql-basics
- This file generates or explains Cloud SQL resources. Use this file when the user asks to create a Cloud SQL instance or database for MySQL, PostgreSQL, or SQL Server. Cloud SQL manages third-party MySQL, PostgreSQL, and SQL Server instances as resources in Cloud SQL. For example, when Cloud SQL creates an open-source MySQL instance, the resulting resource is a Cloud SQL for MySQL instance that Google Cloud manages. Cloud SQL handles backups, high availability, and secure connectivity for relational database workloads.
- 安装量
- 1
- GitHub Stars
- 2万
- 最近更新
- 9月16日
googledatalineage-bigquery-asset-impact-analysis
- Analyzes the downstream impact (blast radius) when a BigQuery table or view is broken, stale, or modified. Identifies all downstream tables, dashboards, and processes that will be affected. Use when: - Performing a blast radius or impact analysis for a BigQuery table or view. - Assessing the consequences of modifying, deleting, or pausing updates to a BigQuery asset. - Identifying downstream dependencies (tables, dashboards, processes) of a BigQuery asset. Don't use for: - General BigQuery querying or data analysis (use BigQuery-related tools instead). - Non-BigQuery assets (e.g., Cloud Storage files) unless they are part of the BigQuery lineage. - Creating or modifying lineage links directly.
- 安装量
- 1
- GitHub Stars
- 2万
- 最近更新
- 9月16日
googledbt-sf-to-bq-translator
- Translates Snowflake dbt SQL models to Standardized BigQuery SQL. Handles SQL compilation, Jinja macro placeholder masking, BigQuery Translation Service migration workflows, AST-based config transformations, explicit type casting, JSON extraction standardization, and deduplication. Use when migrating Snowflake dbt pipelines or models to Google Cloud BigQuery. Don't use for generic BigQuery queries or non-Snowflake SQL migrations.
- 安装量
- 1
- GitHub Stars
- 2万
- 最近更新
- 9月16日
googledetection-engineering-coverage-evaluation
- Automates the end-to-end detection engineering workflow in Google SecOps using MCP tools. Use when fetching threat intelligence from blogs, generating Threat Detection Opportunities (TDOs), simulating attacker behavior with synthetic UDM events, evaluating rule coverage, generating new YARA-L 2.0 rules to close coverage gaps, and with user approval, deploy them to SecOps. Don't use when asked to perform threat hunting actions, and SOC investigative actions.
- 安装量
- 1
- GitHub Stars
- 2万
- 最近更新
- 9月16日
googledeveloper-device-platform-basics
- Provides guidance and instructions on managing remote devices on Developer Device Platform (DDP). Use when reserving remote Android devices, establishing connection tunnels, checking session status, or extending/cancelling leases. Don't use for iOS or local device/hardware inquiries.
- 安装量
- 1
- GitHub Stars
- 2万
- 最近更新
- 9月16日
googledeveloping-genkit-dart
Generates code and provides documentation for the Genkit Dart SDK. Use when the user asks to build AI agents in Dart, use Genkit flows, or integrate LLMs into Dart/Flutter applications.
- 安装量
- 1
- GitHub Stars
- 2万
- 最近更新
- 9月16日
googledeveloping-genkit-go
Develop AI-powered applications using Genkit in Go. Use when the user asks to build AI features, agents, flows, or tools in Go using Genkit, or when working with Genkit Go code involving generation, prompts, streaming, tool calling, or model providers.
- 安装量
- 1
- GitHub Stars
- 2万
- 最近更新
- 9月16日