~/agentstafferAgentStaffer
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
40page
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-id-osiris skill by openclaw/skills
This skill enables cryptographic identity for AI agents by generating keys, signing messages, and verifying signatures across agent communications.
MCPHTTPCLIA2A
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agent-lightning skill by openclaw/skills
This skill helps optimize AI agents with zero code changes using reinforcement learning, APO, and SFT across multi-agent systems.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
mcpservers / tool
agent-lsp MCP Server
A stateful LSP runtime for AI agents: warm language server sessions with 50+ tools for go-to-definition, find-references, diagnostics, rename, and more...
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agent-metaverse skill by openclaw/skills
This skill lets agents trade crypto on a simulated Metaverse exchange, managing spot, futures, and AMM swaps with a starting balance.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agent-network-scanner skill by openclaw/skills
This skill scans the internet for agent networks, discovering hubs, bounties, and active protocols to help you map coordination platforms quickly.
MCPHTTPCLIA2A
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agent-orchestration skill by yonatangross/orchestkit
This skill orchestrates autonomous agent loops and multi-agent coordination using proven patterns for planning, routing, synthesis, and cross-scenario
MCPCLISDKA2A
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agent-phone-network skill by openclaw/skills
This skill enables agent-to-agent calling, responses to incoming calls, and phonebook lookups via a2a endpoint for seamless agent coordination.
MCPHTTPCLIA2A
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agent-sdk-builder skill by openhands/skills
Guided workflow for building custom AI agents using the OpenHands Software Agent SDK. Use when you want to create a new agent through an interactive interview process that gathers requirements and generates implementation plans.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agent-sdk-master skill by jeremylongshore/claude-code-plugins-plus-skills
This skill provides production-grade mastery of Google's ADK and Agent Starter Pack to design, deploy, and monitor multi-agent systems.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agent-services-cn skill by openclaw/skills
This skill helps you explore and price AI agent services, find agents by skill, and template offerings to accelerate collaboration.
MCPHTTPCLIA2A
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agent-skill skill by openclaw/skills
This skill helps you manage and optimize participation in Last AI Standing by automating heartbeats, killings, and rewards on Base.
MCPHTTPCLIA2A
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agent-skill-use skill by shunsukehayashi/miyabi
This skill helps you create and manage AI agent skills following best practices for multi-agent design and progressive disclosure.
MCPHTTPCLIA2A
- 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.