ck:team

Orchestrate parallel multi-session collaboration among AI agent teams for complex workflows.

Updated Jan 11, 2026
One-click install
npx skills add https://github.com/felix-howard/ella --skill ck-team-felix-howard
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ck:team
Source: https://github.com/felix-howard/ella/tree/main/.opencode/skills/team
Command: npx skills add https://github.com/felix-howard/ella --skill ck-team-felix-howard

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill enables the orchestration of multiple AI agents working in parallel to tackle complex tasks, fostering efficient collaboration and parallel processing.

Core Features & Use Cases

  • Parallel Workflows: Run research, coding, review, and debugging tasks concurrently with independent teammates.
  • Team Specialization: Assign specific roles (developers, researchers, reviewers) to teammates for focused expertise.
  • Use Case: To refactor a large codebase, you can create a team of developers, each assigned to specific modules, and a tester to validate their work simultaneously, significantly speeding up the development cycle.

Quick Start

Use the ck:team skill to research the topic of 'quantum computing' with three researchers.

Frequently Asked Questions about ck:team

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

FAQPage Schema
How do I orchestrate multiple AI agents for parallel code review and debugging?

You orchestrate parallel code review and debugging by deploying independent AI agent teams that work concurrently. Teammates manage distinct research, implementation, and debugging tasks using individual context windows, communicating via shared task lists and messaging.

What is parallel multi-session collaboration for AI workflows?

Parallel multi-session collaboration for AI workflows is a process where independent agent teams execute complex tasks simultaneously. It assigns specialized roles like researchers or developers to distinct teammates, enabling concurrent processing and efficient workflow automation.

Can I use agent teams to refactor a large codebase with multiple developers?

Yes, you can use agent teams to refactor a large codebase by assigning multiple developer teammates to specific modules concurrently. A tester teammate can simultaneously validate their work, significantly accelerating the development and code review cycle.

How do I automate research tasks using parallel AI teammates?

You automate research tasks using parallel AI teammates by configuring a team of specialized researchers to process complex topics concurrently. The orchestration supports templated workflows with configurable team sizes to manage independent research sessions.

What are the limitations of using independent context windows for agent teams?

The limitation of using independent context windows for agent teams is that teammates cannot natively share internal memory, relying entirely on shared task lists and messaging protocols to coordinate complex workflows and maintain synchronization.