team-designer

Generate v4 team-skill packages with SKILL.md router, roles, specs, and templates.

1|Updated May 12, 2026
One-click install
npx skills add https://github.com/tcytan/tecton --skill team-designer
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: team-designer
Source: https://github.com/tcytan/tecton/tree/main/.claude/skills/team-designer
Command: npx skills add https://github.com/tcytan/tecton --skill team-designer

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill removes the repetitive overhead of designing multi-role “team” skills by generating a complete, architecture-compliant skill package in one workflow.

Core Features & Use Cases

  • v4 Team-Lifecycle package generation: Produces a universal SKILL.md router plus coordinator/worker role files, specs, and optional templates in a consistent structure.
  • Automated role, pipeline, and command scaffolding: Detects roles from the domain, defines pipelines, and decides when to use commands/ versus inline logic.
  • Validation and quality gating: Checks structure, role registry integrity, frontmatter compatibility for team-worker agents, and pipeline consistency before you use the generated package.

Quick Start

Describe your team skill idea and trigger team-designer to generate a full skill package that matches the team-lifecycle-v4 architecture pattern.

Frequently Asked Questions about team-designer

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

FAQPage Schema
How do I generate a multi-agent skill package from a single domain description?

To generate a multi-agent skill package, you provide a domain description and the tool scaffolds a complete v4 team-skill package. It outputs a universal SKILL.md router, coordinator and worker roles, specs, and templates.

What is the v4 team-lifecycle architecture for multi-agent orchestration?

The v4 team-lifecycle architecture is a repeatable structure for multi-agent orchestration. It uses a universal router to dispatch tasks to dedicated coordinator and worker roles, ensuring deterministic pipelines across roles, specs, and templates directories.

How do I validate multi-agent role registry paths and pipeline consistency?

You validate role registry paths and pipeline consistency by running the built-in validation pass. It checks file structure, verifies worker frontmatter compatibility, and ensures pipeline consistency before you use the generated package.

Do I need YAML frontmatter for multi-agent skill discovery and routing?

Yes, you need YAML frontmatter for multi-agent skill discovery and routing. The generated package requires strict frontmatter compliance to ensure workers are properly registered and discoverable by the universal router.

Can I automatically scaffold roles, pipelines, and commands for analysis-to-dispatch workflows?

Yes, you can automatically scaffold roles, pipelines, and commands for analysis-to-dispatch workflows. The tool detects required roles from your domain description and decides when to generate commands versus inline logic.

What's the best way to structure reusable role definitions for multi-stage AI workflows?

The best way to structure reusable role definitions for multi-stage AI workflows is using deterministic scaffolding across roles, specs, and templates directories, ensuring structured artifacts and repeatable analysis-to-dispatch-to-monitor pipelines.