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By Elmmly
Structured AI workflows for product discovery and delivery. 7 specialist genies, 30+ commands, TDD enforcement, and architecture governance.
npx claudepluginhub elmmly/genie-team --plugin genieActivate Architect genie to bootstrap architecture artifacts (ADR-000 and C4 diagrams) for an existing project.
Activate Architect genie for interactive architecture workshops — approach comparison, technical decisions, interface design, and risk prioritization.
Generate a brand-consistent image using AI, with cost-tiered model routing and graceful degradation.
Review a design artifact (wireframe, mockup, screenshot, or generated image) against brand guidelines and universal UX heuristics, producing a persistent Design Review Report.
Generate W3C Design Tokens JSON from an existing brand guide.
Technical designer for system architecture, pattern enforcement, and feasibility assessment. Use for design exploration and technical spikes that benefit from context isolation.
TDD implementation engineer for building software with test-first discipline. Use for delivering designs with red-green-refactor, minimal code, and strict scope discipline.
Code review specialist for acceptance criteria verification, pattern compliance, and quality assessment. Use when reviewing implementations against specs and designs.
Brand strategist for visual identity, design systems, and AI-assisted asset generation. Use for brand workshops, image prompt optimization, and brand guide analysis.
Discovery specialist for problem exploration, assumption surfacing, and opportunity mapping. Use for research-heavy discovery using Teresa Torres, JTBD, and evidence-based product thinking.
Ensures ADR and C4 diagram behaviors during all workflows. Use when loading context, discussing architecture, creating designs, or when "ADR", "architecture decision", "C4", "coupling", "cohesion", or "boundary" are mentioned. Activates during /arch:init, /context:load, /context:refresh, /spec:init, /define, /design, /deliver, /discern, /handoff, /diagnose, and /discover.
Ensures brand-consistent behavior during workflows. Auto-activates when brand guide exists and "brand", "brand spec", "design tokens", "brand consistent", or "visual identity" are mentioned. Activates during /brand, /brand:image, /brand:tokens, /design, /deliver, /discern, /handoff, /context:load, and /context:refresh.
Enforces code quality standards when writing or editing code. Use when implementing features, fixing bugs, or refactoring. Ensures error handling, no hardcoded values, proper patterns, and security considerations.
Creates conventional commit messages following commitlint standards. Use when committing code, creating git commits, or when the user says commit, push, or save changes.
Structured root cause investigation when tests fail unexpectedly or fixes don't resolve the issue. Use when a test fails that you expected to pass, when a previous fix attempt didn't work, or when an error occurs during implementation.
Modifies files
Hook triggers on file write and edit operations
Requires secrets
Needs API keys or credentials to function
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Human-AI partnership for Claude Code. Share a terminal, orchestrate workers, evolve together. Brainstorm ideas, turn them into wishes, execute with /work, validate with /review, and ship as one team.
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
Self-orchestrating multi-agent development system — 8 specialized AI agents, parallel quality gates, and automated workflows. You say WHAT, the AI decides HOW.
Structured project planning and execution through brainstorm, spec, and build phases across three execution tiers: sequential, delegated sub-agents, and full agent teams
15-agent AI engineering team for Claude Code. Full sprint cycle: Think, Plan, Build, Review, Test, Ship, Reflect. HITL checkpoints, handoff contracts, eval system, and 3 sprint modes.
Give soul to your workflow. 58 AI-powered skills across 17 roles — PM, Dev, Backend, Frontend, QA, UX, Data, Detect, WordPress, Release, Security, DevOps, and Core. Spec-to-ship pipeline: scaffold, implement, test, secure, deploy. Features two-phase workflow with human approval, quality-reviewer agent, token optimization, and continuous improvement via LEARN.md system.
Uses power tools
Uses Bash, Write, or Edit tools
Uses power tools
Uses Bash, Write, or Edit tools
Share bugs, ideas, or general feedback.
Specialized AI genies for product discovery and delivery, from opportunity mapping to spec-driven implementation.
Software teams face relentless pressure to deliver business outcomes while also building scalable systems. High costs, tight timelines, communication gaps, coordination overhead, and inconsistent practices across the team frame the challenges messy in the middle. AI coding agents promise help but often add noise; generating code without context, expanding scope without constraint, forgetting and drifting from decisions and guardrails already made.
What if your AI assistant was a team of specialists instead of one generalist? Genie Team brings industry practices, insight, and workflows to Claude Code. Curated wishes, focused expertise, and a document trail that builds shared understanding as things evolve over time. It's an experiment in whether structured AI collaboration can reduce friction, align practices, and help teams move faster without sacrificing craft and pride of ownership.
We're at an inflection point in how software gets made. AI assistants are powerful but unpredictable. They'll grant your wishes, just not always the way you intended. This project is an exploration: What if we could shape that power into something more deliberate?
Genie Team is a playground for discovering new ways of working. It's not a finished product but an ongoing harvesting of experiments in human-AI collaboration. This is an attempt to find patterns that make augmented development more effective, more sustainable, more intentional, more craft-oriented, and even a little fun.
Genies, not agents. AI coding assistants work best when you think of them as genies, powerful entities that grant wishes but interpret those wishes on their own terms. Without structure, they drift: expanding scope, losing context mid-session, and confidently building the wrong thing. Genie Team adds the constraints that make wishes reliable: specialized roles, scoped tools, structured prompts, and persistent context that survives the conversation window.
Team of specialists. Instead of one general purpose assistant, Genie Team provides a cast of specialized genies, each optimized for a specific phase of product development. Specialization beats generalization.
Context accumulates. Structured outputs (Opportunity Snapshots, Design Documents, Implementation Reports) create a document trail that builds project knowledge over time. Genie memory complements this with meta-learning: patterns noticed across sessions, calibrations, and shortcuts that help each genie work more effectively on your project.
Efficiency matters. AI tokens cost money and time. Structured prompts with clear scope reduce wasted iterations, hallucinated features, and context drift.
Tinkering as practice. This is exploratory work. Forking, adapting, and sharing configurations is part of our craft. The goal isn't to prescribe a workflow but to provide a starting point for your own experiments in augmented development.
gh CLI (optional) — For PR creation in PR-mode workflowsjq (optional) — For the headless runner's JSON parsinggit clone git@github.com:elmmly/genie-team.git ~/genie-team
cd ~/genie-team
# Install globally (available to all projects)
./install.sh global
# Or install to a specific project
./install.sh project /path/to/your/project
# Verify installation
./install.sh status
Global install puts commands, genies, skills, and rules in ~/.claude/ so they're available across all projects. Best for individual developers or teams with consistent practices.
Project install puts everything in /path/to/project/.claude/ for isolation. Best for trying out the workflow or when different projects need different configurations.
Note: Plugin install is experimental. The Claude Code plugin system is still evolving, and plugin installs may not include all components. The script install above is the recommended approach.