amoa-remote-agent-coordinator
Use when coordinating remote AI agents via AI Maestro messaging. NOT for human coordination. Trigger with agent delegation or multi-agent requests. Loaded by ai-maestro-orchestrator-agent-main-agent
Best use case
amoa-remote-agent-coordinator is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Use when coordinating remote AI agents via AI Maestro messaging. NOT for human coordination. Trigger with agent delegation or multi-agent requests. Loaded by ai-maestro-orchestrator-agent-main-agent
Teams using amoa-remote-agent-coordinator should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/amoa-remote-agent-coordinator/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How amoa-remote-agent-coordinator Compares
| Feature / Agent | amoa-remote-agent-coordinator | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Use when coordinating remote AI agents via AI Maestro messaging. NOT for human coordination. Trigger with agent delegation or multi-agent requests. Loaded by ai-maestro-orchestrator-agent-main-agent
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Remote Agent Coordinator ## Overview Delegates tasks to remote AI agents via AI Maestro messaging. ## Prerequisites AI Maestro (AMP) running, Python 3.9+, registered agents. ## Instructions 1. Verify AI Maestro running and agents registered 2. Prepare task with ACK block, context, scope, criteria 3. Send via AMP, wait for ACK (5 min timeout) 4. Monitor progress every 10-15 min 5. Enforce 4 verification loops before PR approval Copy this checklist and track your progress: - [ ] Verify AMP running and agents registered - [ ] Send task with ACK block and criteria - [ ] Monitor progress and enforce 4 verification loops - [ ] Approve or reject PR ## Output ACK confirmations, progress reports, verification results, PR decisions. ## Examples **Input:** `Delegate "fix auth bug #42" to libs-auth-agent` **Output:** Task sent, ACK received, 4 loops done, PR approved. ## Error Handling See [error-handling-protocol.md](./references/error-handling-protocol.md). <!-- TOC: Table of Contents | 0 Overview | 1 FAIL-FAST Principle | 2 When Agents Must Stop and Report | 0 Error Reporting Format | 1 Error Report Message Schema | 2 Error Types | 0 Orchestrator Response to Errors | 1 Acknowledging Error Reports | 2 Providing Solutions | 3 Escalation When Needed | 0 Troubleshooting | Problem: Agent Not Reporting Errors | Problem: Agent Reports Same Error Repeatedly | Problem: Unclear Error Type | Problem: False Blocker Reports --> ## Resources - [agent-registration.md](./references/agent-registration.md) - [echo-acknowledgment-protocol.md](./references/echo-acknowledgment-protocol.md) - [verification-loops-protocol.md](./references/verification-loops-protocol.md) - [progress-monitoring-protocol.md](./references/progress-monitoring-protocol.md) - [error-handling-protocol.md](./references/error-handling-protocol.md) - [escalation-procedures.md](./references/escalation-procedures.md) - [messaging-protocol.md](./references/messaging-protocol.md) - [task-instruction-format.md](./references/task-instruction-format.md) - [rule-15-no-implementation.md](./references/rule-15-no-implementation.md) - [rule-14-immutable-requirements.md](./references/rule-14-immutable-requirements.md) - [script-output-rules.md](./references/script-output-rules.md) - [examples-remote-coordination.md](./references/examples-remote-coordination.md)
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