team-builder

Assemble and dispatch parallel AI agent teams with per-agent failure handling.

1|Updated Mar 31, 2026
One-click install
npx skills add https://github.com/aayushsoam/clawbot-plus --skill team-builder-aayushsoam
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: team-builder
Source: https://github.com/aayushsoam/clawbot-plus/tree/main/skills/team-builder
Command: npx skills add https://github.com/aayushsoam/clawbot-plus --skill team-builder-aayushsoam

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Makes it easy to browse, assemble, and dispatch parallel teams of AI agents from multiple domains, reducing setup time for complex tasks.

Core Features & Use Cases

  • Interactive menu to browse and compose agent teams from both flat and domain-subdirectory layouts.
  • Domain-aware discovery and merging of available agents, without hardcoded lists.
  • Parallel spawning of agents with synthesized results and per-agent failure handling.

Quick Start

Run team-builder and follow the prompts to select domains, pick agents, and dispatch them in parallel.

Frequently Asked Questions about team-builder

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

FAQPage Schema
How do I coordinate parallel execution of multiple AI agents from different domains?

You can assemble and dispatch parallel AI agent teams by browsing available agents through an interactive menu, selecting domains, and spawning them concurrently. The system handles result synthesis and per-agent failure handling automatically.

What is domain-aware agent discovery and how does it work for team building?

Domain-aware agent discovery automatically finds and merges available AI agents from both flat and domain-subdirectory layouts without hardcoded lists. It extracts frontmatter-driven metadata to group agents by domain for targeted team assembly.

How do I build an AI agent team for a complex workflow automation task?

Build an AI agent team by launching the interactive menu to browse agents across domains, select the required personas, and dispatch them in parallel. The tool synthesizes individual agent results into a consolidated report.

Do I need to manually configure agent lists to assemble expert AI agent teams on demand?

No manual configuration is required. The system uses domain-aware discovery to dynamically find available agents through frontmatter metadata extraction, allowing you to compose teams interactively without hardcoded lists.

What happens if one AI agent fails during parallel task execution?

During parallel task execution, per-agent failure handling ensures individual agent failures are managed independently. The system continues orchestrating remaining agents and synthesizes results from successful executions.