orchestration

Coordinates multi-agent workflows with sync barriers, checkpointing, and YAML state tracking.

Updated Jul 2, 2026
One-click install
npx skills add https://github.com/geekatron/jerry-claude-plugin --skill orchestration-geekatron
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: orchestration
Source: https://github.com/geekatron/jerry-claude-plugin/tree/main/skills/orchestration
Command: npx skills add https://github.com/geekatron/jerry-claude-plugin --skill orchestration-geekatron

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Complex tasks requiring multiple specialized agents often lose progress to context limits, lack coordination between parallel workstreams, and have no recovery mechanism when failures occur. This Skill provides structured multi-agent workflow management with persistent state, sync barriers for cross-pipeline information exchange, and checkpoint-based recovery. ## Core Features & Use Cases - Cross-Pollinated Pipelines: Run parallel agent pipelines (e.g., problem-solving and systems engineering) with bidirectional findings exchange at sync barriers. - Persistent State Management: Track workflow execution in ORCHESTRATION.yaml as a machine-readable single source of truth, surviving context compaction and session boundaries. - Checkpoint Recovery: Create recovery points after phases and barriers so long-running workflows can resume from any checkpoint. - Adversarial Quality Gates: Enforce creator-critic-revision cycles with a 0.92 quality threshold at every phase transition and barrier. - Use Case: Coordinate a design review where a research pipeline and a requirements pipeline run in parallel, exchange findings at two sync barriers, and produce a final synthesis combining both tracks. ## Quick Start Ask the AI to initialize an orchestration workflow for your project with a cross-pollinated pipeline using two skill tracks and sync barriers after each phase.

Frequently Asked Questions about orchestration

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

FAQPage Schema
How do I coordinate multiple AI agents in one workflow?▼

Define pipelines with phases and agents in an ORCHESTRATION.yaml state file, then execute agents in parallel or sequential groups. Sync barriers exchange findings between pipelines, and checkpoints let you resume after interruptions.

What is a cross-pollinated pipeline pattern?▼

A cross-pollinated pipeline runs two or more agent pipelines in parallel with synchronization barriers between phases. At each barrier, key findings flow bidirectionally (A-to-B and B-to-A) so each pipeline informs the other's next phase.

When should I not use multi-agent orchestration?▼

Avoid orchestration for single-agent tasks, simple sequential flows without parallel pipelines, or work needing no cross-session state. The overhead of state files, barriers, and quality gates exceeds the task complexity in those cases.

How does checkpoint recovery work in agent workflows?▼

Checkpoints are created after each phase and barrier, recording a recovery point in the YAML state. To resume, read the checkpoint, reset subsequent agents to PENDING, and continue execution from the recovery point.

Why do orchestrated agents fail with recursive spawning errors?▼

Failures occur when agents spawn their own subagents, violating the single-nesting constraint. The main context must act as orchestrator invoking workers directly; workers never spawn other agents.