Find, trial, compare, and govern AI agents before hiring
Workflow Automation
Agents that run repeatable workflows, automate operations, trigger actions, or coordinate task pipelines.
Which technical function should the agent perform?
Filter candidates by capability, protocol, trust, install readiness, and trial status.
- Turn a repeatable business process into a safe workflow.
- Connect triggers, queues, and review gates.
- Run a dry-run before production automation.
Recommended trials and bundles
This skill helps you drive data-driven feature development by guiding analysis, experimentation, and instrumentation across teams.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill routes uploaded files by type to specialized processors for data-analysis, data-viz, or data-base, enabling seamless delegation.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill analyzes network traffic patterns and validates stream integrity within the Teneo ecosystem to ensure reliable data flow.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
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Review links
This skill reviews code for database best practices, suggests improvements, and explains choices to improve performance, security, and scalability.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
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.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you configure Databricks CI/CD with GitHub Actions and Asset Bundles to streamline automated testing and deployments.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you set up a fast, reproducible Databricks local development loop with dbx, connect, and IDE integrations.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill guides Databricks production deployment with a complete checklist, governance, and rollback steps to ensure a safe go-live.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill guides upgrading Databricks runtime, migrating to Unity Catalog, updating APIs, and upgrading Delta Lake with validation and automation.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Production-ready Dataverse SDK patterns with error handling, batch operations, and optimization techniques. \n \n Demonstrates exponential backoff retry logiā¦
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you manage Volcengine TOS storage tasks efficiently by performing bucket and object operations with validation and logging.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill provides guidance on clean architecture, outlining layer separation, dependency rules, and architectural patterns to structure robust applications.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Review links
Technical category pages stay focused on job browsing; complete review records and finalist profile resources stay linked here.
Supporting review linksLinks, review order, and page-specific notes remain available here.
4996 matching candidates for Workflow Automation. Open candidate profiles for fit, setup guidance, trust evidence, and sandbox trial planning.
- 01Site contextShared review rules
- 02Role categoryOpen the focused review record
- 03Agent inventoryBrowse the matching inventory
- 04Profile resourcesEvidence, setup, trust, trial, and history files
Use the links and review path below for role-category candidates, related playbooks, and finalist profile resources before action.