1919114514yasenpai-maker
Community@1919114514yasenpai-maker
Google-published skill registry for building, orchestrating, and securing data pipelines across BigQuery, Dataflow, Spark, Airflow, and Cloud Storage on GCP.
Agent Skills by 1919114514yasenpai-maker
Showing 30 vetted skills indexed across 1 GitHub repositories.
1919114514yasenpai-makergcp-data-pipelines
Routes Google Cloud data pipeline requests to the appropriate dbt, Dataflow, Dataform, Spark, or Composer skill.
1919114514yasenpai-makerdiscovering-gcp-data-assets
Searches Dataplex Universal Catalog and retrieves schema metadata for Google Cloud data assets.
1919114514yasenpai-makergcp-spark
Generates and executes PySpark notebooks on Dataproc clusters and Serverless batches.
1919114514yasenpai-makermanaging-python-dependencies
Detects project dependency managers and installs Python packages with the correct tooling.
1919114514yasenpai-makerdata-autocleaning
Profiles and cleans BigQuery and GCS data using Dataplex scans and SQL transformations.
1919114514yasenpai-makergcp-dataflow
Guides authoring, packaging, launching, and diagnosing Apache Beam pipelines on Google Cloud Dataflow.
1919114514yasenpai-makerbigquery-data-transfer-service
Discovers and inspects BigQuery Data Transfer Service configurations for data ingestion pipelines.
1919114514yasenpai-makerenforcing-resource-attribution
Applies attribution labels to bq and gcloud CLI commands for resource tracking.
1919114514yasenpai-makerbigquery-bigframes
Generates Python code using BigQuery DataFrames for pandas-style analysis and ML on BigQuery.
1919114514yasenpai-makerdbt-bigquery
Generates, modifies, and validates dbt models and pipelines targeting Google BigQuery.
1919114514yasenpai-makergcp-composer-troubleshooting
Diagnoses Cloud Composer and Airflow DAG failures using gcloud logs and remote code analysis.
1919114514yasenpai-makerbigquery-graph
Generates GQL queries and property graph DDL for BigQuery graph analytics.
1919114514yasenpai-makerfederate-lakehouse-catalog
Configures Google Cloud Lakehouse federated catalogs connecting BigQuery to Databricks Unity and AWS Glue.
1919114514yasenpai-makeraccidental-data-loss-prevention
Requires explicit user consent before executing irreversible data deletion commands.
1919114514yasenpai-makerbuilding-data-apps
Build data dashboards and interactive reports with React, Vite, or Streamlit connected to BigQuery.
1919114514yasenpai-makerdataform-bigquery
Generates and validates Dataform SQLX pipeline code for BigQuery ELT workflows.
1919114514yasenpai-makergcp-managed-airflow-recommendations
Diagnose Cloud Composer environments and generate evidence-based Airflow tuning recommendations.
1919114514yasenpai-makerskill-repair
Repairs failed agent skill installations and updates manifest.json status entries.
1919114514yasenpai-makergcp-managed-airflow-dag-authoring
Author and validate Apache Airflow DAGs for Google Cloud Managed Service for Apache Airflow environments.
1919114514yasenpai-makergoogle-cloud-storage-basics
Manages Google Cloud Storage buckets and objects via CLI, APIs, and client libraries.
1919114514yasenpai-makerbigquery-ai-ml
Write BigQuery SQL queries using built-in AI and ML functions for forecasting, anomaly detection, and generative analysis.
1919114514yasenpai-makergcp-pipeline-orchestration
Generate, validate, deploy, and trigger Google Cloud Composer orchestration pipeline definitions.
1919114514yasenpai-makergcloud-auth-verification
Diagnoses missing Google Cloud authentication and guides ADC credential setup.
1919114514yasenpai-makernotebook-guidance
Guides creation and execution of Jupyter notebooks for BigQuery data analysis and visualization.
Frequently Asked Questions About 1919114514yasenpai-maker
FAQPage SchemaWhat tasks can I accomplish with these Google Cloud data skills?▼
You can build and orchestrate data pipelines using dbt, Dataform, Dataflow (Apache Beam), Spark on Dataproc, and Cloud Composer; optimize BigQuery SQL; run BigQuery ML forecasting; manage Cloud Storage buckets; federate lakehouse catalogs; and enforce data-loss prevention and resource labeling guardrails.
Who are these skills designed for?▼
Data engineers, analytics engineers, and ML practitioners working on Google Cloud. They target users authoring Airflow DAGs, writing Beam or Spark ETL, optimizing BigQuery queries, managing dbt/Dataform projects, and performing notebook-based analysis with BigFrames or %%bqsql magics.
What prerequisites and dependencies are required?▼
A Google Cloud project with authenticated gcloud/bq credentials (Application Default Credentials) is required. Python work mandates project-scoped virtual environments rather than global pip installs, and destructive operations like DROP TABLE or bucket deletion require explicit user consent before execution.
Are these skills open source and what do they cost?▼
All skills are published by Google under the Apache-2.0 license at no cost. However, executing them consumes billed GCP resources such as BigQuery compute, Dataflow jobs, Dataproc clusters, Cloud Composer environments, and Cloud Storage capacity.
How do the skills handle security and compliance?▼
The gcs-security-assessment skill evaluates bucket security posture and SAIF compliance, enforcing-resource-attribution mandates labeling on bq and gcloud operations, and accidental-data-loss-prevention blocks irreversible deletions of production data, KMS keys, and projects without explicit confirmation.