agent-signal

Orchestrate event-driven background work pipelines for LobeHub agents.

Updated May 11, 2026
One-click install
npx skills add https://github.com/zmh13928433602-sys/lobe-chat --skill agent-signal-zmh13928433602-sys
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: agent-signal
Source: https://github.com/zmh13928433602-sys/lobe-chat/tree/main/.agents/skills/agent-signal
Command: npx skills add https://github.com/zmh13928433602-sys/lobe-chat --skill agent-signal-zmh13928433602-sys

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Agent Signal enables building event-driven background work pipelines for agents, decoupling long-running tasks from foreground chat flows. It coordinates sources, signals, actions, and policies to orchestrate asynchronous processing with observability and scope control. Use cases include adding new event sources, defining new signal types, or implementing policy-driven middleware to manage workflow handoffs.

Core Features & Use Cases

  • Event-driven pipelines that map: source -> signal -> action with policy-based routing and fan-out.
  • Clear boundaries between sources, signals, actions, and procedures to keep workflows testable and maintainable.
  • Observability, dedupe, and scope control to ensure reliability and safe concurrent processing.
  • Real-world use cases: introduce new sources, expand signals, or compose policies to orchestrate agent workflows across packages.

Quick Start

Implement your first agent source handler to begin an event-driven workflow.

Frequently Asked Questions about agent-signal

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

FAQPage Schema
How do I build event-driven background work pipelines for LobeHub agents?

Event-driven background work pipelines are built by mapping sources to signals and actions with policy-based routing. This decouples long-running tasks from foreground chat flows using coordinated asynchronous processing.

What is the best way to decouple long-running agent tasks from foreground chat flows?

Decoupling long-running tasks from chat flows requires modeling sources, signals, actions, and policies. This orchestrates asynchronous processing with observability and scope control to ensure reliable concurrent execution.

How do I add new event sources and signal types to an agent workflow?

Adding new event sources and signal types involves implementing source handlers and expanding signal definitions. You compose policies to orchestrate agent workflows across server components and shared packages.

Can I use policy-driven middleware to manage workflow handoffs in background pipelines?

Policy-driven middleware manages workflow handoffs by routing and fanning out events from source to action. Policies are registered in server services to maintain testable and maintainable workflow boundaries.

Does agent signal processing handle dedupe and observability for concurrent workflows?

Agent signal processing includes built-in observability, dedupe, and scope control to ensure reliability and safe concurrent processing. These features prevent duplicate event execution and maintain workflow stability.

When should I not use event-driven pipelines for background work?

Event-driven pipelines are not suitable when tasks require synchronous execution within the foreground chat flow. They are designed for decoupled background work, so synchronous user-facing requests should avoid this architecture.