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.