clab-team

Launch coordinated multi-agent research teams from session configuration files.

8|1|Updated Jan 24, 2026

Search Tags:#automation #collaboration #research #multi-agent #team management #session planning

Ready to run

npx skills add https://github.com/Meme-Theory/meme-engine --skill clab-team

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: clab-team
Source: https://github.com/Meme-Theory/meme-engine/tree/main/plugins/research-clab/templates/skills/clab-team
Command: npx skills add https://github.com/Meme-Theory/meme-engine --skill clab-team

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates the complex process of launching and managing multi-agent research teams, streamlining collaborative AI-driven projects.

Core Features & Use Cases

Automated Team Scaffolding: Generates agent configurations, skill assignments, and behavioral rules for research projects.
Flexible Session Modes: Supports 'compute' (parallel independent tasks), 'workshop' (sequential rounds), and 'panel' (interpretive debate) coordination patterns.
Use Case: Kickstart a complex multi-agent research project with a single command, defining the domain, research question, and desired agent archetypes.

Quick Start

Use the clab-team skill to launch a research session from the file sessions/session-plan/session-5a-prompt.md.

Frequently Asked Questions about clab-team

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

FAQPage Schema

How do I launch a coordinated multi-agent research team?▼

You can launch coordinated multi-agent research teams by executing this Skill with a single command referencing a session configuration file. This automates agent spawning, task assignment, and workflow execution for your project.

What is the difference between parallel computation and sequential workshop modes for AI agents?▼

Parallel computation mode assigns independent tasks simultaneously across agents, while sequential workshop mode processes research rounds in ordered steps. The Skill also supports interpretive panel sessions for structured agent debates.

How do I configure agent archetypes and behavioral rules for a research project?▼

Automated team scaffolding generates agent configurations, skill assignments, and behavioral rules based on your defined session structure. You specify the domain, research question, and desired agent archetypes to initiate the process.

Can I manage multi-agent session planning without writing manual execution scripts?▼

Yes, this Skill manages workflow execution automatically according to defined session structures and safety protocols. It eliminates the need for manual execution scripts by handling agent spawning and task assignment directly.

Does launching a multi-agent research session require external dependencies?▼

No external dependencies are required to launch multi-agent research sessions. The Skill operates independently to process session configuration files and manage collaborative AI-driven projects from start to finish.

When should I use interpretive panel coordination over compute mode for multi-agent research?▼

Use interpretive panel coordination when your research requires structured debate and synthesis among agents, whereas compute mode is optimal for parallel independent tasks. Choose based on whether your workflow needs sequential rounds or independent execution.