By multiplex-ai
Adaptive agent team orchestration for Claude Code — agents, skills, commands, rules, workflows, and hooks for Muggle AI QA platform
Answer a quick side question without interrupting or losing context from the current task. Resume work automatically after answering.
Incrementally fix build and type errors with minimal, safe changes.
Create or verify a checkpoint in your workflow.
Start NanoClaw v2 — ECC's persistent, zero-dependency REPL with model routing, skill hot-load, branching, compaction, export, and metrics.
Comprehensive 3-pass code review of uncommitted changes. Covers quality (security, React, Node.js, performance), compliance (CLAUDE.md rules), and contract consistency (cross-repo API types).
Software architecture specialist for system design, scalability, and technical decision-making. Aware of Muggle AI monorepo architecture. Use when planning new features, refactoring large systems, or making architectural decisions.
Backend specialist for muggle-ai-prompt-service. Implements API/service/data slices, runs quality gates, returns structured summaries.
Build and TypeScript error resolution specialist. Use PROACTIVELY when build fails or type errors occur. Fixes build/type errors only with minimal diffs, no architectural edits. Focuses on getting the build green quickly.
Personal communication chief of staff that triages email, Slack, LINE, and Messenger. Classifies messages into 4 tiers (skip/info_only/meeting_info/action_required), generates draft replies, and enforces post-send follow-through via hooks. Use when managing multi-channel communication workflows.
C++ build, CMake, and compilation error resolution specialist. Fixes build errors, linker issues, and template errors with minimal changes. Use when C++ builds fail.
When the user wants to plan, design, or implement an A/B test or experiment. Also use when the user mentions "A/B test," "split test," "experiment," "test this change," "variant copy," "multivariate test," "hypothesis," "should I test this," "which version is better," "test two versions," "statistical significance," or "how long should I run this test." Use this whenever someone is comparing two approaches and wants to measure which performs better. For tracking implementation, see analytics-tracking. For page-level conversion optimization, see page-cro.
When the user wants to generate, iterate, or scale ad creative — headlines, descriptions, primary text, or full ad variations — for any paid advertising platform. Also use when the user mentions 'ad copy variations,' 'ad creative,' 'generate headlines,' 'RSA headlines,' 'bulk ad copy,' 'ad iterations,' 'creative testing,' 'ad performance optimization,' 'write me some ads,' 'Facebook ad copy,' 'Google ad headlines,' 'LinkedIn ad text,' or 'I need more ad variations.' Use this whenever someone needs to produce ad copy at scale or iterate on existing ads. For campaign strategy and targeting, see paid-ads. For landing page copy, see copywriting.
Design and optimize AI agent action spaces, tool definitions, and observation formatting for higher completion rates.
Operate as an agentic engineer using eval-first execution, decomposition, and cost-aware model routing.
Engineering operating model for teams where AI agents generate a large share of implementation output.
Executes bash commands
Hook triggers when Bash tool is used
Modifies files
Hook triggers on file write and edit operations
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Uses power tools
Uses Bash, Write, or Edit tools
Uses power tools
Uses Bash, Write, or Edit tools
No model invocation
Executes directly as bash, bypassing the AI model
No model invocation
Executes directly as bash, bypassing the AI model
Runs pre-commands
Contains inline bash commands via ! syntax
Runs pre-commands
Contains inline bash commands via ! syntax
Bash prerequisite issue
Uses bash pre-commands but Bash not in allowed tools
Bash prerequisite issue
Uses bash pre-commands but Bash not in allowed tools
AI workflow for Claude Code — describe what you want, get production-grade results.
Code, content, design, planning — the workflow researches, designs, builds, tests, reviews, and ships. You describe and approve.
Part of the Muggle AI open-source ecosystem. Built while developing MuggleTest — an AI-powered QA testing platform.
muggle-ai-teams is an AI agent orchestration workflow for Claude Code. You describe your task in plain English, approve the design, and the workflow handles everything else — research, implementation, testing, and review.
Low effort. Describe your task in plain English. Approve the design. That's it. The workflow handles research, implementation, testing, and code review without additional input from you.
High quality. Every output goes through research, specialist design, test-driven development, automated QA, and 3-pass code review. The same process that catches bugs in production code runs on every task.
Transparent cost. You see the estimate before work begins.
| Task type | Estimated cost |
|---|---|
| Quick fix, config change, typo | $0.50 – $2 |
| Standard feature, refactor, content | $5 – $20 |
| Complex project, architecture, multi-service | $50 – $100+ |
Works for any task:
Battle-tested building MuggleTest — an AI-powered QA testing platform — across 6 production services.
npm install @muggleai/teams
Update to latest: npm update @muggleai/teams
git clone https://github.com/multiplex-ai/muggle-ai-teams.git
chmod +x muggle-ai-teams/setup.sh
./muggle-ai-teams/setup.sh
After installing, open Claude Code and type /muggle-ai-teams. Describe what you want.
Both methods install agents/, commands/, skills/, and rules/ into ~/.claude/ (global) and back up any existing directories before overwriting.
npm update @muggleai/teamsNo build step required. Works on macOS and Linux.
muggle-ai-teams is a claude code agents workflow that routes each task to the right tier, dispatches specialist agents, and enforces quality gates at every step.
The workflow adapts to task complexity automatically:
| Tier | Cost | What happens |
|---|---|---|
| Quick | Small fix, typo, config | Direct execution — single agent, quality gates, done in minutes |
| Standard | Normal feature, refactor | Specialist-designed, per-slice QA, skip panel review |
| Full | Architecture, security, multi-service | Full panel review, regression sweep, all safeguards |
The orchestrator triages in Step 1A (reads project config + git history, scores complexity) and recommends a tier. You confirm or override.
You describe what you want → Auto-triage
Quick → Execute → Done.
Standard → Research → Design → Build → Test → Review → Ship
Full → Research → Design → Panel → Build → Test → Review → Ship
The workflow triages complexity, recommends a tier, and waits for your confirmation before writing any code.
Works for non-coding tasks too. Say "build me an investor pitch deck" and the same workflow runs — specialists design the structure, execute section by section, review for quality, and deliver the final output. This is a genuine differentiator: most claude code workflow tools are built exclusively for code.
Research — finds relevant code, docs, and community patterns. Reads your project config, scans affected code areas, and searches for skills relevant to the task.
Requirements — restates what "done" looks like. Extracts acceptance criteria from your description and produces explicit scope boundaries (what's in, what's out).
Design — specialist agents draft the approach. Routes to the right specialist (frontend, backend, architect) based on your project config. Includes mockups for UI work.
Expert panel review (Full tier only) — multiple specialists review the design in parallel and synthesize findings into a verdict.
Approval — you confirm before any code is written. No implementation starts until this gate passes.
Plan — breaks the work into slices, each with files to touch, test instructions, and completion criteria. Independent slices run in parallel.
npx claudepluginhub multiplex-ai/muggle-ai-teams --plugin muggle-ai-teamsRun real-browser end-to-end (E2E) acceptance tests on your web app from any AI coding agent. Generate test scripts from plain English, replay them on localhost, capture screenshots, and validate user flows like signup, checkout, and dashboards. Works across Claude Code, Cursor, Codex, and Windsurf.
Multi-agent team orchestration for parallel task execution, research, and implementation
AI team orchestration. Give Claude Code an AI team — CTO, Engineer, QA, Designer work together while you watch.
Structured project planning and execution through brainstorm, spec, and build phases across three execution tiers: sequential, delegated sub-agents, and full agent teams
Multi-agent team orchestration for Claude Code. Set up parallel AI agent teams with file-based planning, progress tracking, and role-based collaboration.
Production-ready Claude Code configuration with role-based workflows (PM→Lead→Designer→Dev→QA), safety hooks, 44 commands, 19 skills, 8 agents, 43 rules, 30 hook scripts across 19 events, auto-learning pipeline, hook profiles, and multi-language coding standards
PROACTIVELY use this agent when complex multi-agent tasks begin, when agents seem stuck or overwhelmed, or when the team needs motivation and coordination. This agent serves as the elite performance coach for all other agents, ensuring they operate at their highest level while maintaining composure and excellence. Should be triggered automatically at the start of challenging projects or when detecting agent confusion. Examples:\n\n<example>\nContext: Starting a complex project requiring multiple agents\nuser: "We need to build a viral TikTok app in 2 weeks"\nassistant: "This is an ambitious goal that will require our A-team! Let me bring in the studio-coach to coordinate our agents and ensure everyone performs at their peak."\n<commentary>\nComplex projects benefit from having a coach to keep all agents aligned and motivated.\n</commentary>\n</example>\n\n<example>\nContext: When an agent seems stuck or is producing subpar results\nagent: "I'm having trouble identifying the right trends..."\nassistant: "Let me bring in the studio-coach to help refocus and elevate your approach."\n<commentary>\nAgents can get overwhelmed or lose focus - the coach helps them recenter and excel.\n</commentary>\n</example>\n\n<example>\nContext: Before launching a major sprint or initiative\nuser: "Tomorrow we start the 6-day sprint for our biggest project yet"\nassistant: "Time to rally the team! I'll have the studio-coach prepare everyone mentally and strategically for peak performance."\n<commentary>\nPre-sprint coaching ensures all agents start with clarity, confidence, and coordination.\n</commentary>\n</example>\n\n<example>\nContext: When celebrating wins or learning from failures\nuser: "Our app just hit #1 on the App Store!"\nassistant: "Incredible achievement! Let me bring in the studio-coach to celebrate with the team and capture what made this success possible."\n<commentary>\nThe coach helps institutionalize wins and extract learnings from both successes and failures.\n</commentary>\n</example>