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neural-link

Coordinate real-time multi-agent collaboration through neural_link rooms with structured message flows.

Updated Mar 26, 2026
Search Tags:#multi-agent#coordination#handoffs#room-lifecycle#inbox-patterns#neural_link#message-kinds
One-click install
npx skills add https://github.com/benediktms/overmind --skill neural-link
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: neural-link
Source: https://github.com/benediktms/overmind/tree/main/cli/claudecode-plugin/skills/neural-link
Command: npx skills add https://github.com/benediktms/overmind --skill neural-link

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Real-time cross-agent coordination in neural_link rooms to share findings, report blockers, and hand off work. This skill provides operational quick-reference for coordinating multiple agents, covering room lifecycle, message kinds, and inbox patterns, with semantics referenced in AGENTS.md.

Core Features & Use Cases

  • Room lifecycle management: open, join, communicate, and close rooms with structured patterns.
  • Message kinds and inbox patterns: support for finding, handoff, blocker, decision, question, answer, review_request, review_result, artifact_ref, summary, challenge, proposal, escalation.
  • Interaction modes and governance: informative, supervisory, adversarial, and deliberative coordination with thread-based organization and blockers handling.
  • Use cases include synchronized research, cross-team collaboration, and end-to-end task handoffs in complex workflows.

Quick Start

Open a neural_link room, invite participants, and start exchanging findings and blockers using the predefined message kinds.

Frequently Asked Questions about neural-link

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I coordinate real-time multi-agent collaboration and manage handoffs?▼

You coordinate real-time multi-agent collaboration by opening a neural_link room, inviting participants, and exchanging structured messages like findings, blockers, and handoffs using predefined message kinds.

What message kinds are supported for structured agent communication and inbox patterns?▼

Supported message kinds include finding, handoff, blocker, decision, question, answer, review_request, review_result, artifact_ref, summary, challenge, proposal, and escalation for structured inbox read and acknowledge patterns.

Can I use thread-based organization for supervisory or adversarial agent interaction modes?▼

Yes, thread-based organization supports informative, supervisory, adversarial, and deliberative interaction modes for governance and structured blocker handling across multiple agents.

What's the best way to manage room lifecycle for synchronized multi-agent research workflows?▼

The best way to manage room lifecycle for synchronized multi-agent research is to use open, join, communicate, and close operations, ensuring structured communication and clean task handoffs.

Does multi-agent coordination support wait_for and inbox read or acknowledge patterns?▼

Yes, multi-agent coordination supports wait_for commands and inbox read/ack patterns, allowing agents to pause for dependencies and acknowledge received messages within thread-based room organization.

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