By avivsinai
Coordinate AI agents across projects using file-based message queues via CLI: send/receive messages to claude/codex/handles, manage inboxes/queues, set up co-op/swarm modes with federation, diagnose issues, and orchestrate parallel-research-to-converge design spec workflows.
npx claudepluginhub avivsinai/skills-marketplace --plugin amq-cliParallel-research-then-converge design workflow between two agents. Use this skill when the user wants two agents to independently think through a design problem before aligning on a solution — "spec X with codex", "design X together", "both agents think through X", "brainstorm architecture together", "parallel research then joint proposal", "think through separately then align", "careful thought from both sides before coding", or any variation where the user wants collaborative design rather than just splitting implementation work. Also use this when you receive a message labeled workflow:spec and need to know the correct receiver-side protocol. Not for sending simple messages or reviews (use /amq-cli), implementing completed designs, or creating document templates.
Coordinate agents via the AMQ CLI for file-based inter-agent messaging. Use this skill whenever you need to send messages to another agent (codex, claude, or any named handle), check your inbox, drain queued messages, set up co-op mode between agents, join a swarm team, route messages across projects, or diagnose delivery issues. Also use it when you receive a message and need to know how to reply, inspect receipts, or handle priority. Covers any multi-agent coordination task where agents need to talk to each other — review requests, questions, status updates, decision threads, wake notifications, and orchestrator integration (Symphony, Kanban). For collaborative spec/design workflows specifically, prefer the /amq-spec skill which provides structured phase-by-phase guidance. Not intended for distributed systems design (RabbitMQ, Kafka), CI/CD pipelines, or single-agent tasks with no partner.
Git-backed messaging for AI agent coordination across sessions, worktrees, and machines.
Share bugs, ideas, or general feedback.
Framework for creating discoverable, well-structured Claude Code skills with proper optimization and real-world examples. Ensures skills meet quality standards.
Agent command center for orchestrating Claude Code agents with mail, messaging, code reviews, and persistent agent lifecycle hooks.
Connect Claude Code to the Viche agent network — discover, message, and collaborate with other AI agents in real-time
Enable AI agents to message, watch, and spawn each other across terminals with Claude Code, Gemini, and Codex.
Skills for AI agent orchestration - memory search, code graph queries, documentation search, inter-agent messaging, and task planning