sandhuka

Muster AI — AI skill for Claude Code

AI community

Assemble your AI team — a multi-agent product management framework for Claude Code.

How to install Muster AI

This entry records only its repository, not the path inside it, so there is no exact command to give. Open sandhuka/muster-ai and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

What Muster AI does

Assemble your AI team — a multi-agent product management framework for Claude Code.

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README

Muster

**Ship a product. Without a team.**

*Eight AI specialists. Persistent memory. Just Claude Code.*

![Muster sprint status — PM coordinating multiple agents across a real iOS project](assets/sprint-status.png)

A real product needs design, code, QA, content, marketing, legal, and research.

You can't hire all of that. You don't have to.

Muster turns Claude Code into a coordinated team of eight AI specialists with persistent memory, quality guardrails, and conversational continuity. Every decision persists. Every sprint plans itself forward. Every specialist remembers the discussion across follow-ups — no re-briefing on every turn, no Claude amnesia between sessions.

Just markdown files. No external frameworks. No API wiring. No subscriptions.

You (Founder)
     |
     v
  Open Claude in project   →   Pick a role at session start
                                       |
                                       v
                              Session bound to ONE role:
                       PM | Dev | UI/UX | QA | Content | Mkt | Legal | Research

The PM coordinates: plans sprints, makes decisions, cascades context to specialists. Specialists do the domain work in their own session and file handoffs. Status line shows `[muster: ]` so you always know which tab is which.

Built and validated on real production projects — an iOS app mid-construction and a shipped marketing site. Not framework theory.

Just open Claude Code. Pick a role. Ship.

The problem

Most multi-agent frameworks optimize for agent **communication** — how agents pass messages to each other. The real bottleneck is **context**. Claude Code agents forget everything between sessions. If you're building a product across design, dev, legal, marketing, and QA, you need persistent memory and a way to keep each agent focused on what matters.