agent-signal

Construct event-driven workflows with sources, signals, actions, and policies for agent collaboration.

Updated Jul 8, 2026
One-click install
npx skills add https://github.com/alceupassos/hub --skill agent-signal-alceupassos
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: agent-signal
Source: https://github.com/alceupassos/hub/tree/main/.agents/skills/agent-signal
Command: npx skills add https://github.com/alceupassos/hub --skill agent-signal-alceupassos

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill enables the creation and enhancement of LobeHub Agent Signal pipelines, streamlining event-driven background work for agents.

Core Features & Use Cases

  • Event-Driven Background Work: Execute tasks asynchronously without coupling to foreground chat requests.
  • Flexible Pipeline Construction: Design pipelines with sources, signals, actions, policies, and procedures.
  • Scalable Architecture: Scale collaboration networks and facilitate co-evolution of humans and agents.
  • Use Case: Imagine you want to create a system that automatically analyzes user feedback in real-time. This Skill allows you to set up a pipeline that captures user feedback, interprets the sentiment, and triggers actions based on the analysis.

Quick Start

Use the agent-signal skill to emit a signal for processing a user feedback event.

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 workflows for background processing in an AI system?

To construct event-driven pipelines, you implement source, signal, and action handlers alongside policy definitions, enabling the system to process user messages and runtime lifecycle events asynchronously.

What are event-driven AI pipelines used for in agent collaboration?

Event-driven AI pipelines execute background tasks asynchronously, allowing collaborative agents to process user feedback and runtime events without blocking foreground chat requests or coupling interactions.

Can I scale agent collaboration networks using event-driven pipeline construction?

Yes, scalable pipeline construction facilitates the co-evolution of humans and agents by managing background work through sources, signals, actions, and procedures, expanding collaboration networks effectively.

How do I handle deduplication and scope management in event-driven AI workflows?

The pipeline runtime provides built-in support for deduplication, scope management, and result observation, ensuring duplicate events are filtered and actions execute within defined boundaries.

Does event-driven background processing require defining procedures and policies?

Yes, flexible pipeline construction requires defining procedures and policies to govern how sources, signals, and actions interact, ensuring structured runtime execution for asynchronous background tasks.