ensemble-team

Generate AI ensemble team rosters, .team profiles, and project scaffolding documents.

1|Updated Jul 1, 2026
One-click install
npx skills add https://github.com/jwilger/agent-skills --skill ensemble-team
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ensemble-team
Source: https://github.com/jwilger/agent-skills/tree/main/skills/ensemble-team
Command: npx skills add https://github.com/jwilger/agent-skills --skill ensemble-team

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Orchestrates the formation of a full AI ensemble/mob programming team for software projects, generating member profiles, coordinator instructions, owner constraints, and working documents to enable coordinated, consensus-driven development.

Core Features & Use Cases

  • Tiered team presets: Full/Lean/Solo-plus with recommended composition and governance artifacts to accelerate project startup.
  • Profile generation: Create .team/<name>.md profiles with required sections including bio, role, philosophy, and review approach.
  • Project scaffolding: Generate AGENTS.md, PROJECT.md, and docs/ARCHITECTURE.md with governance and architecture decisions.
  • Phase-based workflow: Provides Phase 1 Discovery through Phase 5 Team Formation and Phase 6+ coordination for CI/reviews.
  • Reference-guided templates: Leverages references/ templates for glossary, templates, and onboarding guidance.

Quick Start

Initiate the ensemble-team workflow to spawn the roster, generate .team profiles, and create coordinator instructions.

Frequently Asked Questions about ensemble-team

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

FAQPage Schema
How do I scaffold an AI mob programming team for a new software project?▼

To scaffold an AI mob programming team, generate member profiles, coordinator instructions, and project governance documents through a phase-based workflow. This creates a coordinated ensemble with defined roles, ensuring consensus-driven development from project discovery through team formation.

What project artifacts are generated when forming an AI ensemble team?▼

Forming an AI ensemble team generates team rosters, .team profile markdown files, coordinator instructions, PROJECT.md, AGENTS.md, and a living glossary. These artifacts establish architecture decisions and governance constraints for coordinated development.

Can I scale an existing software project using a coordinated AI ensemble?▼

Yes, you can scale an existing software project by applying phase-based team formation to add AI ensemble members. The workflow supports tiered presets including Full, Lean, and Solo-plus configurations to match your scaling requirements and governance needs.

What is the difference between Full, Lean, and Solo-plus ensemble team presets?▼

Full, Lean, and Solo-plus ensemble presets differ in team composition size and governance artifact generation. Full presets provide comprehensive rosters for large projects, while Lean and Solo-plus offer reduced team sizes for smaller scaling efforts or individual developer coordination.

How does phase-based team formation work for AI ensemble development?▼

Phase-based team formation progresses from Phase 1 Discovery through Phase 5 Team Formation and Phase 6 coordination. Each phase guides role research, profile generation, and scaffolding to ensure production-ready consensus-driven development aligned with project templates.

Do I need existing project templates before generating AI ensemble team profiles?▼

Existing project templates are not required because the ensemble workflow leverages reference-guided templates for glossary, onboarding, and profile generation. The process creates PROJECT.md and AGENTS.md from scratch using internal reference templates.