data-agent-kit-starter-pack

Plugin data-agent-kit-starter-pack from marketplace sg-safe-path-control in marcelhacks/anthropic-sg-safe-path-control-20260724. Commands read from the repo's manifest — 1 month ago.

Skills (56)

• accidental-data-loss-prevention

  **STOP AND VERIFY**: Before running any command or tool that results in irreversible data loss, you MUST obtain explicit user consent. When in doubt, ask. It is better to wait for confirmation than to accidentally delete production data or critical project assets. Use this for: - SQL: DROP TABLE/VIE

• alloydb-omni-access-control

  Use these skills when you need to manage user roles, inspect permissions, and verify security-related configuration parameters.

• alloydb-omni-container

  You're an expert in AlloyDB Omni running in a container. You can help users with related tasks such as starting, stopping, listing, connecting to AlloyDB Omni instance running in a container, and querying for logs.

• alloydb-omni-data

  Use these skills when you need to explore the database structure, identify schema objects like views and triggers, and execute SQL queries to interact with your data.

• alloydb-omni-health

  Use these skills when you need to audit database health, identify storage bloat, find broken indexes, and verify tablespace or maintenance configurations.

• alloydb-omni-kubernetes

  You're an expert in AlloyDB Omni Operator running in Kubernetes. You can help users with related tasks such as creating, managing, and monitoring AlloyDB Omni DBClusters.

• alloydb-omni-monitor

  Use these skills when you need to troubleshoot production issues by identifying locks, tracking long-running transactions, and getting a high-level view of server state.

• alloydb-omni-optimize

  Use these skills when you need to fine-tune the database engine settings, manage extensions, or optimize the columnar engine for better analytical performance.

• alloydb-omni-performance

  Use these skills when you need to analyze query performance, generate execution plans, check table/column statistics, and monitor overall database activity.

• alloydb-omni-replication

  Use these skills when you need to monitor the health of database replication, manage sync states between nodes, and audit publication tables for distributed setups.

• alloydb-postgres-access-management

  Use these skills when you need to manage database users, inspect permissions and roles, and verify global configuration parameters related to security and access control.

• alloydb-postgres-admin

  Use these skills when you need to provision new AlloyDB clusters and instances, monitor their creation status, and retrieve high-level configuration or health data for the environment.

• alloydb-postgres-data

  Use these skills when you need to explore the database schema, identify objects like views and triggers, and execute custom SQL queries to interact with your data.

• alloydb-postgres-health

  Use these skills when you need to optimize storage, identify index issues, analyze table statistics, or manage autovacuum and tablespace configurations to maintain peak database health.

• alloydb-postgres-monitor

  Use these skills when you need to troubleshoot slow performance, analyze query execution plans, identify resource-heavy processes, and monitor system-level PromQL metrics.

• alloydb-postgres-optimize

  Use these skills when you need to discover and manage PostgreSQL extensions or fine-tune engine-level settings such as memory allocation and server configuration parameters.

• alloydb-postgres-replication

  Use these skills when you need to monitor replication health, manage sync states between nodes, and ensure the high availability and data distribution of your AlloyDB cluster.

• bigquery-data-transfer-service

  Discovers and inspects BigQuery Data Transfer Service (DTS) configurations.

• bigquery

  Provides BigQuery-specific logic, knowledge, and specialized standards. Use this skill whenever you are doing anything with BigQuery, including: 1. BigQuery query optimization (SQL) 2. BigFrames Python code 3. BigQuery ML/AI functions (SQL & Python) 4. Graph Analytics (GQL & Property Graphs) version

• building-data-apps

  Build modern data apps, dashboards, and interactive reports using either React + Vite or Streamlit. Includes optional Gemini Data Analytics chat integration for an AI powered "chat with your data" experience. Relevant when any of the following conditions are true: 1. User explicitly requests to buil

• cloud-sql-mysql-admin

  Use these skills when you need to provision new Cloud SQL for MySQL instances, create databases and users, clone existing environments, and monitor the progress of infrastructure operations.

• cloud-sql-mysql-data

  Use these skills when you need to explore your database schema, execute SQL queries to interact with your data, and inspect how MySQL plans to execute your statements.

• cloud-sql-mysql-lifecycle

  Use these skills when you need to manage the durability and safety of your data by creating backups, restoring from previous states, or cloning instances for recovery and testing.

• cloud-sql-mysql-monitor

  Use these skills when you need to troubleshoot slow queries, analyze system-level PromQL metrics, and identify structural performance issues like table fragmentation or missing unique indexes.

• cloud-sql-postgres-admin

  Use these skills when you need to provision new Cloud SQL instances, create databases and users, clone existing environments, and monitor the progress of long-running operations.

• cloud-sql-postgres-data

  Use these skills when you need to explore the database structure, discover schema objects like views or stored procedures, and execute custom SQL queries to interact with your data.

• cloud-sql-postgres-health

  Use these skills when you need to audit database health, identify storage bloat, find invalid indexes, analyze table statistics, and manage maintenance configurations like autovacuum.

• cloud-sql-postgres-lifecycle

  Use these skills when you need to manage the lifecycle of your instances, including performing backups and restores, checking major version upgrade compatibility, and monitoring overall instance status.

• cloud-sql-postgres-monitor

  Use these skills when you need to troubleshoot performance bottlenecks, analyze query execution plans, identify resource-heavy processes, and monitor system-level PromQL metrics.

• cloud-sql-postgres-replication

  Use these skills when you need to monitor replication health, manage sync states between nodes, and audit database roles and security settings to ensure environment integrity.

• cloud-sql-postgres-vectorassist

  Use these skills to set up and optimize production-ready vector workloads by simply expressing your intent and performance requirements.

• cloud-sql-postgres-view-config

  Use these skills when you need to discover and manage PostgreSQL extensions or fine-tune engine-level settings such as memory allocation and server configuration parameters.

• cloud-sql-sqlserver-admin

  Use these skills when you need to provision new Cloud SQL for SQL Server instances, create databases and users, clone existing environments, and monitor the progress of long-running operations.

• cloud-sql-sqlserver-data

  Use these skills when you need to explore the database schema, execute SQL queries to interact with your data, and monitor system-level performance metrics using PromQL queries.

• cloud-sql-sqlserver-lifecycle

  Use these skills when you need to manage the lifecycle and durability of your data, including creating backups, restoring from existing backups, and cloning instances for testing or migration.

• cloud-sql-sqlserver-monitor

  Use these skills when you need to troubleshoot slow queries and analyze system-level PromQL metrics.

• data-autocleaning

  Automated data quality and transformation capabilities for Dataform/dbt/BigQuery

• dataform-bigquery

  Expertise in generating clean, correct, and efficient Dataform pipeline

• dbt-bigquery

  Expert guidance for creating, modifying, and optimizing dbt pipelines

• discovering-gcp-data-assets

  Finds and inspects data assets within Google Cloud. Relevant when any of the following conditions are true: 1. The user request involves finding, exploring, or inspecting data assets in Google Cloud, such as: - BigQuery datasets, tables, or views - BigLake catalog or tables - Spanner instances, data

• enforcing-resource-attribution

  Enforces resource attribution for CLI commands. Use this skill whenever you are running `bq` or `gcloud` commands via `run_command`. version: v1 publisher: google

• federate-lakehouse-catalog

  Sets up Google Cloud Lakehouse federated catalogs to remote Iceberg REST Catalogs. Currently supported catalogs: Databricks Unity, AWS Glue. Supported clouds hosting those catalogs: GCP, AWS. The primary use case is connecting to remote data to query it from GCP engines (BigQuery, Spark). Examples o

• firestore-data

  Handles NoSQL document operations and collection hierarchy exploration. Use for CRUD tasks and data retrieval. Provides flexible document manipulation and structured querying.

• gcloud-auth-verification

  Guidelines for identifying and resolving missing Google Cloud authentication

• gcp-composer-troubleshooting

  Provides expert guidance for troubleshooting Cloud Composer (Apache

• gcp-data-pipelines

  Primary entry point for building, managing, and orchestrating data pipelines

• gcp-dataflow

  Guides writing, packaging, executing, and troubleshooting Apache Beam pipelines on Dataflow. Use when creating new pipelines, configuring Flex Templates, or analyzing performance of Dataflow jobs. Capabilities include Java/Python/Go setup, Cloud Build integration, and deep diagnostic analysis of job

• gcp-managed-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 change

• gcp-pipeline-orchestration

  This skill helps the agent generate or update orchestration pipeline

• gcp-pipeline-resource-provisioning

  Automates declarative resource creation and provisioning for data pipelines, supporting BigQuery, Dataform, Dataproc, BigQuery Data Transfer Service (DTS), and other resources. It manages environment-specific configurations (dev, staging, prod) through a deployment.yaml file. Use when: - Modifying o

• gcp-spark

  Develops and executes Spark code on Dataproc Clusters and Serverless. Reads and writes data using BigLake Iceberg catalogs, BigQuery and Spanner. Debugs execution failures. Use when: - Writing Spark ETL pipelines on GCP. - Training or running inference with ML models with spark on GCP. - Managing Sp

• gcs-security-assessment

  Assesses security posture, evaluates risks, and checks SAIF compliance for Google Cloud Storage buckets or projects. Use when the user requests security scans, vulnerability checks, or SAIF assessments. Don't use when: The user is asking about non-GCS resources (Compute Engine, GKE, etc.), investiga

• managing-python-dependencies

  Ensures proper Python dependency management, avoiding global `pip install` and adhering to project-specific tooling. Use this skill if any of the following are true: 1. Attempting to run `pip install {package_name}`. 2. Python packages or dependencies need to be added or modified. 3. Initiating a ne

• ml-best-practices

  CRITICAL RULE: You MUST use this skill whenever the task involves any machine learning tasks or data analysis. Use this skill if the user's prompt or requirements mention any of the following: * Clustering * Classification * Regression * Time series forecasting * Statistical testing * Model comparis

• notebook-guidance

  This skill guides the use of Jupyter notebooks for data analysis, exploration, and visualization, particularly with BigQuery. It outlines best practices for notebook execution and validation (supporting both cell-by-cell execution and full notebook generation depending on tool availability), library

• spanner-data

  Use these skills when you need to explore the database structure, discover schema objects like tables and graphs, and execute custom SQL queries to interact with your data.

MCP servers (11)

• notebook

  runs: npx -y git+https://github.com/gemini-cli-extensions/data-agent-kit-starter-pack.git --mode=notebook

• visualization

  runs: npx -y git+https://github.com/gemini-cli-extensions/data-agent-kit-starter-pack.git --mode=visualization

• bigquery

  runs: npx -y @toolbox-sdk/server@>=1.1.0 --prebuilt bigquery --stdio --user-agent-metadata datacloud.codex

• spanner

  runs: npx -y @toolbox-sdk/server@>=1.1.0 --prebuilt spanner --stdio --user-agent-metadata datacloud.codex

• alloydb-postgres-admin

  runs: npx -y @toolbox-sdk/server@>=1.1.0 --prebuilt alloydb-postgres-admin --stdio --user-agent-metadata datacloud.codex

• alloydb-postgres

  runs: npx -y @toolbox-sdk/server@>=1.1.0 --prebuilt alloydb-postgres --stdio --user-agent-metadata datacloud.codex

• cloud-sql-postgresql-admin

  runs: npx -y @toolbox-sdk/server@>=1.1.0 --prebuilt cloud-sql-postgres-admin --stdio --user-agent-metadata datacloud.codex

• cloud-sql-postgresql

  runs: npx -y @toolbox-sdk/server@>=1.1.0 --prebuilt cloud-sql-postgres --stdio --user-agent-metadata datacloud.codex

• knowledge_catalog

  runs: npx -y @toolbox-sdk/server@>=1.1.0 --prebuilt dataplex --stdio --user-agent-metadata datacloud.codex

• dataproc

  runs: npx -y @toolbox-sdk/server@>=1.1.0 --prebuilt dataproc --stdio --user-agent-metadata datacloud.codex

• serverless-spark

  runs: npx -y @toolbox-sdk/server@>=1.1.0 --prebuilt serverless-spark --stdio --user-agent-metadata datacloud.codex

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