Agent Skills by rxfit
Showing 59 vetted skills indexed across 1 GitHub repositories.
developing-with-bigquery
Optimize BigQuery SQL queries and generate BigFrames code.
gcp-data-pipelines
Detect existing Google Cloud data pipelines and recommend suitable tools.
discovering-gcp-data-assets
Discover and inspect Google Cloud data assets with keyword and semantic search.
gcp-spark
Develop, execute, and manage Spark applications on Google Cloud Platform.
managing-python-dependencies
Identifies and uses appropriate Python dependency manager for your project.
enterprise-ai
Automate consulting and PM workflows with structured business thinking commands.
data-autocleaning
Profile and clean BigQuery and GCS data using Dataplex results.
gcp-dataflow
Develop, package, and deploy Apache Beam pipelines on Google Cloud Dataflow.
bigquery-data-transfer-service
Discover BigQuery Data Transfer Service configurations and extract pipeline metadata via Python scripts.
dbt-bigquery
Create, modify, and troubleshoot dbt pipelines for BigQuery.
gcp-composer-troubleshooting
Generate RCA reports for Cloud Composer pipeline failures using gcloud logs and storage.
gstack
Coordinates AI-assisted software development workflows including code reviews, architecture planning, and QA with Claude Code and a headless browser for web testing.
accidental-data-loss-prevention
Require explicit user consent before executing destructive SQL, cloud storage, or infrastructure commands.
building-data-apps
Build data applications and dashboards with React + Vite or Streamlit.
dataform-bigquery
Code and validate Dataform pipelines for BigQuery ELT workflows.
skill-repair
Repair failed agent skills by updating manifest.json to corrected status.
gcp-pipeline-orchestration
Generate and deploy Cloud Composer orchestration pipeline definitions for GCP workflows.
gcloud-auth-verification
Check gcloud authentication status and provide login commands for CLI and ADC setup.
notebook-guidance
Guide Jupyter notebook data analysis, visualization, and BigQuery integration.
ml-best-practices
Provide machine learning best practices for clustering, classification, regression, and forecasting.
gcp-pipeline-resource-provisioning
Provision GCP data pipeline resources from deployment.yaml configurations.
prioritization
Prioritize features, initiatives, or tasks using RICE, Impact/Effort, Value/Complexity, or Weighted Scoring frameworks.
storyline
Create structured presentation storylines with narrative blocks and slide titles.
mckinsey-critic
Critique business documents against predefined criteria and ranking systems.