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agent-connect

Multi-agent coordination for AI agents — basic handoff protocols, shared context management, and team task delegation.

作者: admin | 来源: ClawHub
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agent-connect

# 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: 1. **Can I do this myself?** (Don't delegate what you can handle efficiently) 2. **Does the other agent have the right skills?** (Check their capabilities) 3. **Is the context transferable?** (Can I explain this clearly enough?) 4. **Is there a cost benefit?** (Cheaper model for simpler subtasks) 5. **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: 1. Identify the conflict explicitly 2. Check which agent has more relevant context 3. Check which output better matches the original objective 4. If unclear, escalate to the owner with both options 5. 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

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skill ai

通过对话安装

该技能支持在以下平台通过对话安装:

OpenClaw WorkBuddy QClaw Kimi Claude

方式一:安装 SkillHub 和技能

帮我安装 SkillHub 和 edvisage-agent-connect-1775891461 技能

方式二:设置 SkillHub 为优先技能安装源

设置 SkillHub 为我的优先技能安装源,然后帮我安装 edvisage-agent-connect-1775891461 技能

通过命令行安装

skillhub install edvisage-agent-connect-1775891461

下载 Zip 包

⬇ 下载 agent-connect v1.0.0

文件大小: 3.58 KB | 发布时间: 2026-4-12 09:49

v1.0.0 最新 2026-4-12 09:49
agent-connect 1.0.0 — Initial Release

- Introduces structured protocols for multi-agent handoff, including standardized task delegation and return processes.
- Adds shared context management templates to enable teamwork, status tracking, and knowledge sharing across agents.
- Provides a clear task delegation framework with best practices and risk assessment steps.
- Establishes team communication norms for explicit, accountable, and minimal information exchange.
- Includes a basic conflict resolution process for handling disagreements or conflicting outputs.
- Lists key limitations of the free version (manual context sharing, no automated syncing, and basic delegation).

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