Setup & Installation
Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:
Version History
**Summary: Modernized and expanded agent management with new scripts, protocols, and clearer human/agent workflows.** - Added comprehensive agent management scripts (discovery, validation, health checking, stats, visualization, setup). - Introduced "Handshake Protocol" and approval workflows for task assignment. - Replaced older references/structure files to fix naming consistency. - Split guidance for humans and agents, including step-by-step commands and protocols. - Included detailed references and agent registry schema for easier onboarding and management. - Updated metadata and homepage for better integration and discoverability.
What This Skill Does
Centrally manages Clawdbot agents across a multi-agent system. Handles discovery, capability profiling, routing hierarchy, and task assignment with approval-aware handshake protocols.
Centralizes agent discovery, permission checks, and routing rules in one place instead of hardcoding agent relationships across individual scripts.
When to use it
- Discovering all agents available in a Clawdbot deployment
- Checking whether one agent is permitted to assign tasks to another
- Validating agent registry integrity before a deployment
- Visualizing the full agent hierarchy and reporting structure
- Routing a new task through the escalation chain to the correct agent
Example Workflow
Here's how your AI assistant might use this skill in practice.
User asks: Route an incoming task to the right agent in my Clawdbot system
- 1Run scan_agents.js to list all available agents
- 2Check agent profiles to identify a capability match for the task
- 3Verify permissions between source and target agents with can_assign.js
- 4Check the requires_approval flag in agent-registry.md
- 5Assign task directly if approval is not required, or escalate to supervisor
Task routed to the correct agent, or an approval request sent up the escalation chain