beam-connect

Discover Beam AI workspace agents, create tasks, and monitor analytics.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/beam-ai-team/beam-next-skills --skill beam-connect
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: beam-connect
Source: https://github.com/beam-ai-team/beam-next-skills/tree/main/skills/beam/beam/beam-connect
Command: npx skills add https://github.com/beam-ai-team/beam-next-skills --skill beam-connect

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Connect Beam AI workspace for runtime agent operations, providing a unified entry point to discover agents, create tasks, monitor analytics, and debug executions.

Core Features & Use Cases

  • Discover workspace agents and cache for quick reference during conversations.
  • Create, manage, and monitor tasks across multiple agents; fetch analytics and performance metrics.
  • Route operations to specialized sub-skills or master workflows for build-time graph changes and optimization.

Quick Start

Load Beam Connect and begin interacting with your Beam AI workspace to manage agents and tasks.

Frequently Asked Questions about beam-connect

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

FAQPage Schema
How do I manage Beam AI workspace agents and tasks in one place?

Beam AI workspace agent management is centralized by discovering agents, creating tasks, monitoring analytics, and debugging executions through a unified runtime operations entry point.

How do I retrieve analytics and performance metrics for my AI agents?

Agent analytics retrieval is performed by fetching performance metrics and monitoring task status across multiple agents within your configured workspace during runtime operations.

What is the best way to debug task executions across Beam integrations?

Debugging Beam integrations involves routing runtime operations to specialized workflows, validating configurations, and coordinating with shared system scripts to isolate execution failures.

Do I need specialized sub-skills to view agent graphs and manage build-time operations?

Viewing agent graphs and managing build-time optimizations requires routing operations to specialized sub-skills or master workflows, ensuring proper graph changes and configuration validation.

Can I cache discovered workspace agents for quick reference during conversations?

Discovered workspace agents can be cached for quick reference, allowing efficient task orchestration and agent management without repeatedly querying the runtime environment.

Why are my task creation workflows failing across multiple agents?

Task creation failures are diagnosed by validating configuration, checking shared system scripts, and using analytics retrieval to identify execution bottlenecks across the workspace.