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 participate in a dynamic agent marketplace by listing services, evaluating listings, and negotiating with credit-based transactions.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you explore and create MoltsList listings, negotiate terms, and trade services using virtual credits.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you send USDC to molty users via Base or Solana using the x402 protocol from the command line.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you optimize large-scale monorepos using Turborepo and Nx, improving task orchestration, caching, and CI/CD efficiency.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill enables rapid code search and AI-driven edits across large codebases using WarpGrep and Fast Apply to boost developer productivity.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you understand Moss APIs, SDKs, and integration patterns by referencing its capabilities and workflow guidance.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill creates or refactors Codex skills with minimal diffs, updating frontmatter, SKILL.md, and agents/openai.yaml while keeping lean.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Local Microsoft Agent Framework documentation reference. Use when asked about Microsoft Agent Framework, building AI agents in .NET or Python, MCP servers/clients, durable agents, agent tools, Teams/WebChat adapters, or agent-to-agent communication.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill enables multimodal image understanding using ModelScope Qwen3-VL via OpenAI SDK, supporting describe, ocr, visual qa, detect, and chart analysis.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill guides you through designing multi-agent systems with supervisor patterns, control flow, and workflow composition for scalable collaboration.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Build observability interfaces for multi-agent systems. Use when monitoring multi-agent execution, tracking agent metrics, implementing logging for parallel agents, or debugging agent workflows.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you provision and manage a secure multi-agent sandbox using Docker, Discord, SSH, and Tailscale for cross-gateway collaboration.
- 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.