Can I customize the escalation triggers?

Yes, the system is designed to be highly configurable within the CFN Loop framework, allowing you to define exactly when and how an escalation occurs.

Is this suitable for production workflows?

Yes, this skill is marked for production use and is specifically designed to add safety and reliability to professional AI agent deployments.

What is a Human-in-the-Loop system?

It is a design pattern where an AI agent pauses its autonomous actions to seek guidance, verification, or approval from a human user before proceeding.

What is the benefit of a consolidated mega-skill?

By combining the detector and orchestrator, you get a unified interface for managing the entire intervention lifecycle, reducing configuration overhead and dependency complexity.

How does the Detector component work?

The detector monitors agent states and outputs to identify predefined triggers or ambiguous situations that require manual intervention based on your specific logic.

Intervention System

Name: Intervention System
Author: masharratt

bymasharratt

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Productivity & Workflow

Manages human-in-the-loop detection and escalation workflows for AI agent orchestration.

About

The Intervention System is a comprehensive mega-skill designed for the Claude Flow ecosystem to facilitate seamless human oversight within automated AI processes. By consolidating detection and orchestration capabilities, it identifies critical moments where an AI agent requires manual guidance and manages the subsequent approval gates and escalation paths. This skill is essential for developers building robust agentic workflows where safety, accuracy, and human judgment are paramount, ensuring that automated loops can safely pause and resume based on human input.

Key Features

Escalation management for complex task resolution
Streamlined integration with CFN Loop architectures
End-to-end intervention workflow orchestration
Automated human intervention detection
12 GitHub stars
Integrated approval gates for sensitive operations

Use Cases

Flagging edge cases that require expert human review during automated data processing
Orchestrating complex hand-offs between autonomous agents and human operators
Adding manual approval steps before an AI executes sensitive deployments or financial transactions

About

Key Features

Escalation management for complex task resolution
Streamlined integration with CFN Loop architectures
End-to-end intervention workflow orchestration
Automated human intervention detection
12 GitHub stars
Integrated approval gates for sensitive operations

Use Cases

Flagging edge cases that require expert human review during automated data processing
Orchestrating complex hand-offs between autonomous agents and human operators
Adding manual approval steps before an AI executes sensitive deployments or financial transactions