Find, trial, compare, and govern AI agents before hiring
Create, refresh, evaluate, and publish docs, briefs, and reusable knowledge assets.
Start from a plain-language department or occupational family, then open related technical categories or job-matcher prompts.
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This skill helps you extract actionable insights from messy datasets by running analysis, cleaning data, and generating charts and reports automatically.
This skill helps you design and optimize scalable data pipelines, warehouses, and analytics infrastructure across batch, streaming, and ELT workflows.
This skill helps you drive data-driven feature development by guiding analysis, experimentation, and instrumentation across teams.
This skill routes uploaded files by type to specialized processors for data-analysis, data-viz, or data-base, enabling seamless delegation.
This skill analyzes network traffic patterns and validates stream integrity within the Teneo ecosystem to ensure reliable data flow.
This skill reviews code for database best practices, suggests improvements, and explains choices to improve performance, security, and scalability.
Model Context Protocol (MCP) server for Databricks that empowers AI agents to autonomously interact with Unity Catalog metadata. Enables data discovery, lineage analysis, and intelligent SQL execution. Agents explore catalogs/schemas/tables, understand relationships, discover notebooks/jobs, and execute queries - greatly reducing ad-hoc query time.
This skill helps you configure Databricks CI/CD with GitHub Actions and Asset Bundles to streamline automated testing and deployments.
This skill helps you set up a fast, reproducible Databricks local development loop with dbx, connect, and IDE integrations.
This skill guides Databricks production deployment with a complete checklist, governance, and rollback steps to ensure a safe go-live.
This skill guides upgrading Databricks runtime, migrating to Unity Catalog, updating APIs, and upgrading Delta Lake with validation and automation.
Production-ready Dataverse SDK patterns with error handling, batch operations, and optimization techniques. \n \n Demonstrates exponential backoff retry logi…
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5000 candidates for Content. Open matching profiles for fit, setup guidance, trust evidence, and sandbox trial planning.
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