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 enrich an MCP server by adding interactive UI to tools using the MCP Apps SDK.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you add features to existing Firebase projects using TDD, emulator verification, and secure, test-first workflows.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill adds Feishu as a long-lived WebSocket channel to NanoClaw, enabling real-time messaging alongside other channels.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill deploys and orchestrates Vertex AI ADK agents via A2A, enabling scalable multi-agent workflows with secure sandboxing and memory management.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill designs and implements production-ready ADK agents with structured code, tests, and deployment plans for reliable automation.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you generate and manage Architecture Decision Records with auto-numbering, templates, and lifecycle tracking across ADRs.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you design and operate Kubernetes operators and CRDs enabling automated lifecycle management of custom resources.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Agentic data quality MCP server — runs structured validation rules against warehouses (DuckDB, BigQuery, Athena, Databricks, Postgres), diagnoses failures with LLM root cause analysis, and proposes SQL remediations. Full audit trail of every AI decision.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you design, review, and implement APIs per AEP core standards ensuring consistency and machine-readable designs.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Product entry point and evidence-discipline layer for strategic intelligence agents.
- 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.