Setup & Installation
Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:
Version History
Added user signup endpoint docs and credential handoff requirements for agent-initiated onboarding
What This Skill Does
Connects an AI agent to the AI Specialists Hub via MCP, enabling it to manage a roster of named specialists (Ruby, Peter, Benjamin, etc.) and read or write documents in their workspaces. Each specialist has its own folder structure, instructions, and data the agent can access in bulk or individually.
Direct MCP access lets an agent read, write, and manage specialist workspaces without manual file handling or separate API wrappers.
When to use it
- Checking a specialist's current meal plan or schedule
- Hiring a new specialist type and reading their onboarding instructions
- Bulk-reading multiple specialist documents in one call
- Updating a specialist's workspace document with new content
- Listing all active specialists and their workspace structures
Example Workflow
Here's how your AI assistant might use this skill in practice.
User asks: What is Ruby's current status and workspace structure?
- 1Call list_specialists to get Ruby's specialist id
- 2Call read_specialist_documents to fetch ai-instructions/core-instructions.md and ai-instructions/getting_started.md
- 3Call explore_specialist_tree to retrieve Ruby's full folder and file tree
- 4Summarize Ruby's role, behavioral instructions, and available workspace files
A summary of Ruby's identity, what she handles, and a structured view of her workspace contents
Requirements
Accounts, API keys, or tools you or your AI assistant may need to set up while using this skill.