orchestration-protocols

Manages runtime orchestration, health monitoring, escalation, and circuit-breaker recovery of delegated AI agents.

59|12|Updated Feb 26, 2026
One-click install
npx skills add https://github.com/etylsarin/opencastle --skill orchestration-protocols
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: orchestration-protocols
Source: https://github.com/etylsarin/opencastle/tree/main/src/orchestrator/skills/orchestration-protocols
Command: npx skills add https://github.com/etylsarin/opencastle --skill orchestration-protocols

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Guides Team Leads in supervising and recovering delegated AI agents to prevent wasted work, contain scope drift, and accelerate reliable convergence during multi-agent execution.

Core Features & Use Cases

  • Active Steering & Background Management: Monitor inline sessions, steer early, and manage autonomous background agents with partition constraints and resume semantics.
  • Parallel Research & Result Merging: Spawn 3–5 focused research sub-agents, deduplicate and synthesize findings, and produce a compact merged context for downstream implementation.
  • Health Checks, Circuit Breaker & Escalation: Detect stuck or looping agents, apply cadence-based checks, open circuits after repeated failures, and escalate via dead-letter queues or dispute records.
  • Use Case: When introducing a cross-cutting feature, run parallel research for frontend, backend, and CMS ownership, then synthesize results and delegate implementation with strict file partitions.

Quick Start

Use the orchestration-protocols skill to run a health check across active agents, compact prior phase context, and apply escalation or circuit-breaker recovery actions.

Frequently Asked Questions about orchestration-protocols

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

FAQPage Schema
How do I detect and recover stuck or looping AI agents during multi-agent execution?

You can detect stuck or looping agents using health-check cadences and recover them by applying circuit-breaker thresholds that open circuits after repeated failures, escalating via dead-letter queues or dispute records.

What is the best way to spawn parallel research sub-agents and merge their findings?

The best way to spawn parallel research sub-agents is to launch 3–5 focused tasks, then deduplicate and synthesize findings into a compact merged context for downstream implementation.

How does context compaction work for multi-agent software engineering workflows?

Context compaction works by applying templates that condense prior phase context, allowing active agent teams to reduce token bloat and maintain clear execution scope during runtime orchestration.

When do I need a circuit breaker for delegated AI agent orchestration?

You need a circuit breaker when delegated agents repeatedly fail during execution, triggering thresholds that open the circuit to prevent wasted work and contain scope drift.

Can I manage autonomous background agents with partition constraints?

Yes, you can manage autonomous background agents by applying partition constraints and resume semantics, ensuring they operate within strict file boundaries and can recover their state.

How do I escalate persistent failures in multi-agent orchestration workflows?

You escalate persistent failures in multi-agent orchestration by routing the failed agent's output to dead-letter queues or creating dispute records after circuit-breaker thresholds are exceeded.