team-builder

Discover agents from Claude CLI and local directories, then dispatch parallel teams.

26|1|Updated Mar 19, 2026
One-click install
npx skills add https://github.com/BinyaminEden/claude-combine --skill team-builder-binyamineden
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: team-builder
Source: https://github.com/BinyaminEden/claude-combine/tree/main/skills/team-builder
Command: npx skills add https://github.com/BinyaminEden/claude-combine --skill team-builder-binyamineden

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Manually selecting, coordinating, and dispatching multiple specialized agents for cross-domain complex tasks is slow, inconsistent, and requires deep familiarity with all available agent capabilities. This Skill eliminates that overhead by providing an interactive, guided workflow to discover, select, and run parallel agent teams tailored to your specific needs.

Core Features & Use Cases

  • Dynamic Agent Discovery: Automatically pulls available agents from the Claude CLI, local project directories, and global user agent stores, supporting both flat and subdirectory file layouts for custom agent files.
  • Flexible Team Selection: Browse agents grouped by domain, select via numerical input, natural language queries (e.g., "security + seo"), or domain names, with a built-in 5-agent limit to avoid diminishing returns and excessive token usage.
  • Parallel Dispatch & Synthesis: Runs all selected agents simultaneously, then compiles their outputs into a unified report highlighting agreements, conflicts between recommendations, and actionable next steps.
  • Use Case: When preparing a product launch, use this Skill to quickly assemble a team of a security engineer, SEO specialist, and software architect to review your codebase, marketing assets, and system architecture in parallel, then get a single consolidated report of all findings and required actions.

Quick Start

Use the team-builder skill to assemble a team of a security engineer and SEO specialist to review my e-commerce site before launch.

Frequently Asked Questions about team-builder

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

FAQPage Schema
How do I run multiple specialized agents in parallel for a code audit?

To run a parallel code audit, you can assemble a custom multi-agent team that dispatches specialized agents simultaneously to review your codebase, then synthesizes their outputs into a unified report highlighting agreements and conflicts.

What is parallel multi-agent dispatch and when do I need it for complex tasks?

Parallel multi-agent dispatch is the simultaneous execution of specialized personas for cross-domain tasks. You need it when a project requires simultaneous review from multiple perspectives, such as security assessments, marketing strategy reviews, or architectural evaluations.

How do I discover and select custom agents from local project directories?

You can discover custom agents through dynamic discovery that automatically pulls available agents from the Claude CLI, local project directories, and global user stores, supporting both flat and subdirectory layouts for selection via numerical input or natural language queries.

Does the multi-agent team assembly have a limit on the number of agents?

Multi-agent team assembly enforces a strict 5-agent limit to prevent token overuse and diminishing returns, ensuring that parallel dispatch remains efficient and the synthesized output is manageable for cross-domain complex tasks.

Can I use natural language queries to assemble an agent team for security and SEO?

Yes, you can use natural language queries like "security + seo" or domain names to browse and select agents grouped by domain, allowing rapid assembly of a tailored multi-agent team for parallel review without manual coordination.

What is the best way to compile parallel agent outputs into a single report?

The best way to compile parallel outputs is through parallel dispatch and synthesis, which runs selected agents simultaneously and compiles their findings into a unified report that highlights agreements, conflicts between recommendations, and actionable next steps.