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.