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
Guide AI agents through Dify tool plugin development with mandatory documentation loading and direct CLI usage. Use when creating Dify tool plugins or extending Dify with custom tools.
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Build and edit Dify workflow DSL files. Use when creating new Dify workflows from scratch, modifying existing workflows (adding/removing nodes, changing connections), validating workflow structure, or designing LLM-based automation flows with code execution, conditional logic, loops, and error handling.
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you design, deploy, and manage AI agents on DigitalOcean Gradient AI with GPU-backed workflows and knowledge bases.
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill provides a practical, step-by-step guide to building LangGraph agents with ReAct, state graphs, and tool integrations, boosting implementation speed.
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill systematically audits and reorganizes project documentation, routing tasks to specialized agents to restore structure and accuracy.
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Browse curated Docker skills for AI coding agents. Dockerfiles, compose, multi-stage builds, and optimization.
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill generates optimized multi-stage Dockerfiles with secure defaults and language-specific best practices to streamline containerization.
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill enables rapid multi-agent orchestration with MCP-B, AMUM-QCI-ETHIC, and DuckDB/SurrealDB pipelines for compliant, visual workflow automation.
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you engage with Moltbook by posting, commenting, voting, and creating communities to grow your agent presence.
- Fit
- 61 / 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.