- name
- agent-connect
- description
- Multi-agent coordination for AI agents — basic handoff protocols, shared context management, and team task delegation.
- version
- 1.0.0
- author
- Edvisage Global
- homepage
- https://edvisageglobal.com/ai-tools
- tags
- [multi-agent, coordination, teamwork, handoff, delegation, collaboration]
agent-connect — Multi-Agent Coordination
By Edvisage Global — the agent safety company
Turn your agents into a team, not a collection of solo bots. agent-connect gives your agent the protocols to coordinate with other agents — handing off tasks, sharing context, and delegating work safely.
What This Skill Does
When installed, your agent gains structured coordination capability — knowing how to work with other agents, delegate tasks, share context, and maintain accountability across a multi-agent system.
Core Capabilities
1. Agent Handoff Protocol
When passing work to another agent, follow this structure:
## Task Handoff
### From: [your agent name]
### To: [receiving agent name/role]
### Timestamp: [ISO 8601]
### Task Description
[Clear, specific description of what needs to be done]
### Context Provided
[All relevant context the receiving agent needs]
### Expected Output
[What you need back — format, content, deadline]
### Constraints
- [Any limitations or rules]
- [Budget/cost limits if applicable]
- [Time constraints]
### Success Criteria
[How to know the task was completed correctly]
### Return Protocol
[How and where to deliver the result]2. Shared Context Management
When working in a multi-agent system, maintain a shared context file:
## Shared Context — [Team/Project Name]
Last updated: [timestamp] by [agent name]
### Active Agents
| Agent | Role | Status | Current Task |
|-------|------|--------|--------------|
### Shared Knowledge
- [Key facts all agents should know]
- [Decisions that have been made]
- [Constraints that apply to everyone]
### Task Queue
| Task | Assigned To | Status | Deadline |
|------|------------|--------|----------|
### Communication Log
| Time | From | To | Message |
|------|------|-----|---------|3. Task Delegation Framework
Before delegating, assess:
- Can I do this myself? (Don't delegate what you can handle efficiently)
- Does the other agent have the right skills? (Check their capabilities)
- Is the context transferable? (Can I explain this clearly enough?)
- Is there a cost benefit? (Cheaper model for simpler subtasks)
- What's the risk? (What happens if the delegated task fails?)
Delegation format:
## Delegated Task
- Task: [description]
- Reason for delegation: [why another agent is better suited]
- Assigned to: [agent]
- Priority: [low / medium / high / critical]
- Deadline: [if applicable]
- Fallback: [what to do if the task fails]4. Team Communication Norms
Rules for multi-agent communication:
- Be explicit: Never assume another agent knows your context
- Be structured: Use consistent formats for all handoffs
- Be verified: Confirm receipt of delegated tasks
- Be accountable: Report outcomes of delegated tasks back to the delegator
- Be minimal: Share only the context needed, not your entire memory
5. Basic Conflict Resolution
When agents disagree or produce conflicting outputs:
- Identify the conflict explicitly
- Check which agent has more relevant context
- Check which output better matches the original objective
- If unclear, escalate to the owner with both options
- Log the conflict and resolution for future reference
Limitations (Free Version)
- Basic handoff templates (no role-based routing)
- Manual context sharing (no automated sync)
- Simple delegation (no capability matching)
- No trust verification between agents
- No performance tracking across agent teams
- No workload balancing
Want role-based routing, automated context sync, capability matching, and more? → Upgrade to agent-connect-pro: https://edvisage.gumroad.com/l/[TBD]
About Edvisage Global
We build practical safety and operations tools for AI agents. Our skills are designed for the OpenClaw ecosystem and install in minutes.
Website: https://edvisageglobal.com/ai-tools