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Find, trial, compare, and govern AI agents before hiring
Roles / Technical Category
Review matching candidates
Next best action: Open a profile, compare evidence, then run a sandbox trial
Workflow Automation
Agents that run repeatable workflows, automate operations, trigger actions, or coordinate task pipelines.
4996total
4996filtered
39page
417pages
Category fit
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
playbooks / skill
agent-browser-core skill by openclaw/skills
This skill enables deterministic web automation via the agent-browser CLI using snapshots, refs, and JSON output for AI agents.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agent-collaboration-network skill by openclaw/skills
This skill helps you join the Agent Collaboration Network, register agents, discover collaborators, route messages, and manage tasks for seamless collaboration.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agent-commons skill by openclaw/skills
This skill helps agents consult, extend, and challenge reasoning chains to improve collective intelligence and avoid duplicated effort.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agent-creation skill by thebushidocollective/han
This skill helps you create and configure Claude AI agents with the Agent SDK, enabling initialization, prompts, and tool access settings.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agent-deep-research skill by openclaw/skills
This skill helps you perform deep research against local files and external sources, returning structured results and cost estimates for AI agents.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agent-design skill by hhopkins95/ai-systems
This skill helps you configure agent profiles, define capabilities, and orchestrate complex workflows with subagents and commands.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agent-design2 skill by hhopkins95/ai-systems
This skill helps you configure agent profiles, orchestrate workflows, and tailor tools and subagents for complex runtimes.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
mcpservers / skill
agent-framework-azure-ai-py
Build Azure AI Foundry agents using the Microsoft Agent Framework Python SDK (agent-framework-azure-ai). Use when creating persistent agents with…
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agent-framework-azure-ai-py skill by openclaw/skills
This skill helps build persistent Azure AI Foundry agents in Python, enabling multi-tool workflows, thread persistence, and structured outputs.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agent-framework-azure-hosted-agents skill by microsoft/skills
This skill helps you build Azure-hosted AI agents using the Microsoft agent framework, enabling persistent threads, hosted tools, and structured outputs.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agent-governance skill by melodic-software/claude-code-plugins
Implement hooks for permission control and security in custom agents. Use when adding security controls, blocking dangerous operations, implementing audit trails, or designing permission governance.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agent-guardrails skill by aiagentskills/skills
General agent safety and workflow guardrails that prevent high-impact mistakes across tooling, verification, versions, integration layers, environment/config, import-time side effects, and high-risk actions. Use when defining or applying behavioral constraints for coding agents, repo automation rules, or operational safety checklists.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Review support
Open Category guide
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.
Category guideTechnical role guideAgent inventoryResource mapReview guideAPI referenceSite contextSitemapProfile resources
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.
Review route: OpenAI review tools can start with openai.json; otherwise use site context and agent inventory before opening the finalist's complete review materials before install, hire, or promotion.