Yashyasik
Community@Yashyasik
Google Cloud data engineering skill registry covering BigQuery, Dataflow, Spark, Airflow orchestration, dbt/Dataform pipelines, and GCS storage security.
Agent Skills by Yashyasik
Showing 29 vetted skills indexed across 1 GitHub repositories.
Yashyasikgcp-data-pipelines
Routes Google Cloud data pipeline requests to the appropriate dbt, Dataflow, Dataform, Spark, or Composer skill.
Yashyasikdiscovering-gcp-data-assets
Searches Dataplex Universal Catalog and retrieves schema metadata for Google Cloud data assets.
Yashyasikgcp-spark
Generates and executes PySpark notebooks on Dataproc clusters and Serverless with BigQuery, Iceberg, and Spanner integration.
Yashyasikmanaging-python-dependencies
Detects project dependency managers and installs Python packages with the correct tooling.
Yashyasikdata-autocleaning
Profiles and cleans BigQuery and GCS data using Dataplex scans and SQL transformations.
Yashyasikgcp-dataflow
Guides authoring, packaging, launching, and diagnosing Apache Beam pipelines on Google Cloud Dataflow.
Yashyasikbigquery-data-transfer-service
Discovers and inspects BigQuery Data Transfer Service configurations for data ingestion pipelines.
Yashyasikenforcing-resource-attribution
Applies attribution labels to bq and gcloud CLI commands for resource tracking.
Yashyasikbigquery-bigframes
Generates Python code using BigQuery DataFrames for pandas-style analysis and ML on BigQuery.
Yashyasikdbt-bigquery
Generates, modifies, and validates dbt models and pipelines targeting Google BigQuery.
Yashyasikgcp-composer-troubleshooting
Diagnose Cloud Composer DAG failures and generate root cause analysis reports.
Yashyasikbigquery-graph
Generates GQL queries and property graph DDL for BigQuery graph analytics.
Yashyasikfederate-lakehouse-catalog
Configures Google Cloud Lakehouse federated catalogs connecting to Databricks Unity or AWS Glue.
Yashyasikaccidental-data-loss-prevention
Requires explicit user consent before executing irreversible data deletion commands.
Yashyasikbuilding-data-apps
Build data dashboards and interactive reports with React, Streamlit, and Gemini chat integration.
Yashyasikdataform-bigquery
Generates and validates Dataform SQLX pipelines for BigQuery ELT workflows.
Yashyasikgcp-managed-airflow-recommendations
Diagnose Cloud Composer environments and generate evidence-based Airflow tuning recommendations.
Yashyasikskill-repair
Fixes broken agent skills and updates manifest.json status after repair.
Yashyasikgcp-managed-airflow-dag-authoring
Author and validate Apache Airflow DAGs for Google Cloud Managed Service for Apache Airflow environments.
Yashyasikgoogle-cloud-storage-basics
Manages Google Cloud Storage buckets and objects via CLI, APIs, and client libraries.
Yashyasikbigquery-ai-ml
Write BigQuery SQL queries using built-in AI and ML functions for forecasting, anomaly detection, and generative analysis.
Yashyasikgcp-pipeline-orchestration
Generates, validates, deploys, and triggers Google Cloud Composer orchestration pipeline YAML definitions.
Yashyasikgcloud-auth-verification
Diagnose and resolve missing Google Cloud authentication and Application Default Credentials errors.
Yashyasiknotebook-guidance
Guides creation and execution of Jupyter notebooks for BigQuery data analysis and visualization.
Frequently Asked Questions About Yashyasik
FAQPage SchemaWhat tasks can I accomplish with Yashyasik's Google Cloud data skills?▼
You can build and optimize BigQuery SQL, dbt, and Dataform pipelines, develop Spark jobs on Dataproc Serverless, create Apache Beam Dataflow pipelines, orchestrate DAGs on Cloud Composer, provision pipeline resources via deployment.yaml, clean data from GCS, and assess GCS bucket security against SAIF compliance.
Who are these GCP data skills designed for?▼
Data engineers, analytics engineers, and ML practitioners working on Google Cloud. They suit teams managing BigQuery warehouses, Airflow orchestration, Spark ETL, and lakehouse federation, plus analysts using Jupyter notebooks with %%bqsql magics or BigFrames pandas-style dataframes.
What license and cost apply to these skills?▼
All 29 skills are published by Google under the Apache-2.0 open-source license, permitting free use, modification, and redistribution. There is no licensing cost; you only pay for the underlying Google Cloud resources (BigQuery, Dataflow, Composer, GCS) your pipelines consume.
What prerequisites and dependencies are required?▼
You need an active Google Cloud project with gcloud authentication and Application Default Credentials configured. Python work requires project-scoped virtual environments rather than global pip installs, and bq or gcloud commands must include mandatory resource attribution labels for supported operations.
How do the skills prevent accidental data loss?▼
A dedicated guardrail skill requires explicit user consent before irreversible operations: DROP/TRUNCATE or unfiltered DELETE statements, gsutil rm on production buckets, project deletion, Spanner/BigQuery/Dataproc resource removal, secret deletion, and KMS key destruction.