A Team — A Complete Engineering Team in One Folder v1.4.1

The pain: AI coding sessions can lose context, skip reviews, and claim progress without verification.

A complete engineering team in one folder. A Team packages 26 specialist agents, 20 skills, a lead orchestrator, and quality gates around a shared file-based workflow. Designed for Claude Code, Codex CLI, Cursor, OpenCode, and GitHub Copilot CLI — with different levels of hook support.

Not a marketplace of agents you configure. A structured starting point for your own projects.

Born from the community. A Team was built by studying, using, and needing to personalise several excellent open-source agent projects. The architecture combines the best patterns from each into a single, portable baseline. See Acknowledgments for the projects that made this possible.

→ Visual overview & live demo

Recorded first session (before logical pruning) (Windows disposable Python project, 2026-10-19; excerpts from init and morning):

npx --yes @anthropic-ai/claude-code -p '/orchestrate init' --model sonnet --max-turns 12 --max-budget-usd 1 --permission-mode acceptEdits --permission-prompts none --output-format text
`/orchestrate init` is only partly done. The orchestrator wrote `.agent-sync/TEAM.md` and `.agent-sync/ROUTING.md`, but it deleted nothing.

npx --yes @anthropic-ai/claude-code -p '/orchestrate morning' --model sonnet --max-turns 12 --max-budget-usd 1 --permission-mode acceptEdits --permission-prompts none --output-format text
I've written today's plan to `.agent-sync/DAILY.md` and dispatched nothing. The morning plan needs your approval first.

Getting started · Full documentation**

Domain packs — install any alongside A Team:

• builder-ai — LLM engineering quality (evals, RAG, prompt versioning, safety)
• builder-design — AI UI design (states, streaming, accessibility, tokens)
• builder-product — Product quality gates (PRD, metrics, research synthesis, AI validation)
• builder-growth — Growth & messaging (positioning, copy, experiments, retention)

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What It Does

A Team turns any AI coding assistant into a structured, self-enforcing engineering team. Instead of one general-purpose model trying to do everything, you get:

• 26 specialist agents, each with a defined scope, model tier, and tool set
• 20 workflow skills that gate what can happen and when