Issei Naruta
Community@mirakui · Tokyo, Japan
Agent Skills by Issei Naruta
Showing 35 vetted skills indexed across 1 GitHub repositories.
databricks-app-apx
Scaffolds Databricks applications with FastAPI backends and React frontends using APX.
databricks-config
Configure Databricks profiles and authentication in ~/.databrickscfg.
wezterm-read-right-pane
Read the right pane content in WezTerm using CLI commands.
querying-mlflow-metrics
Fetch aggregated trace metrics from MLflow tracking servers.
searching-mlflow-docs
Locate MLflow documentation from the official docs index and return exact MD content.
git-commit
Automate git commits via a Bash subagent with conventional messages.
databricks-python-sdk
Implement Databricks SDK workflows in Python to automate workspace tasks.
databricks-jobs
Define and monitor multi-task Databricks Jobs with schedules and triggers.
git-push-pr
Push a feature branch and create or update pull requests via git and gh commands.
databricks-metric-views
Define reusable business metrics in YAML for Databricks Runtime 17.2+.
databricks-aibi-dashboards
Create and validate Databricks AI/BI dashboards with SQL query testing.
databricks-vector-search
Create Databricks Vector Search endpoints and Delta Sync indexes for RAG retrieval.
databricks-lakebase-autoscale
Deploy Lakebase Autoscaling environments with autoscaled compute, branching, and scale-to-zero.
mlflow-onboarding
Determine MLflow onboarding paths for GenAI versus traditional ML applications.
databricks-zerobus-ingest
Ingest data into Unity Catalog Delta tables via Zerobus Ingest over gRPC.
databricks-genie
Create and query Databricks Genie Spaces via the Conversation API.
databricks-docs
Fetch Databricks documentation pages from the llms.txt index.
databricks-spark-declarative-pipelines
Automate Databricks SDP/LDP pipeline configuration and lifecycle across environments.
databricks-lakebase-provisioned
Provision and operate Lakebase Provisioned PostgreSQL for transactional workloads.
analyzing-mlflow-session
Reconstruct multi-turn chat sessions from MLflow traces and diagnose turn-level issues.
databricks-spark-structured-streaming
Guide Spark Structured Streaming pipelines with Kafka, joins, and Delta optimizations.
spark-python-data-source
Build custom Spark Python data sources for batch and streaming external systems.
databricks-mlflow-evaluation
Configure Databricks MLflow GenAI evaluation workflows with mlflow.genai.evaluate().
instrumenting-with-mlflow-tracing
Instrument Python and TypeScript applications with MLflow tracing for observability.