Navox Agents: 8 Specialized Claude Code Agents with Human Checkpoints

What It Does — Orchestrated AI Development with Control

Navox Agents is a Claude Code plugin that provides eight specialized AI agents designed to work together on complex development projects. Unlike a single Claude instance trying to do everything, this system breaks work down by specialty:

• 🏗️ Architect (Opus 4.6) - Diagnoses requirements and creates system design
• 🎨 UI/UX (Sonnet 4.6) - Creates wireframes and component specifications
• 🔐 Security (Opus 4.6) - Reviews authentication models and threat surfaces
• ⚙️ Full Stack (Sonnet 4.6) - Implements code with unit tests

What makes Navox different is the Human-in-the-Loop (HITL) checkpoints. After each major phase, the system pauses for your review and approval before proceeding. This prevents runaway AI development and ensures the output matches your vision.

Setup — Two Installation Paths

Plugin Marketplace (Recommended)

The fastest way to get started is through Claude Code's plugin marketplace:

# If you hit SSH errors:
git config --global url."https://github.com/".insteadOf "git@github.com:"

# Then install:
/plugin marketplace add https://github.com/navox-labs/agents
/plugin install navox-agents
/reload-plugins

Important: Plugin commands are namespaced. Use /navox-agents:agency-run and /navox-agents:hire-team instead of the bare commands.

Manual Installation

For more control or if you want to modify the agents:

git clone https://github.com/navox-labs/agents.git
mkdir -p ~/.claude/agents ~/.claude/commands ~/.claude/templates
cp -r agents/.claude/agents/* ~/.claude/agents/
cp -r agents/.claude/commands/* ~/.claude/commands/
cp -r agents/templates/* ~/.claude/templates/

With manual installation, commands don't need namespacing—just use /agency-run directly.

When To Use It — Complex Projects Needing Structure

Navox Agents shines when you need more than a quick script or bug fix. The creators built two complete games with it:

• nom.sh - A crab-themed cookie clicker (1,330 lines, 6 bugs caught by QA agent)
• PipeWar - A Factorio-inspired tower defense game (65 tests passing, 8 production bugs fixed)

Both were built in minutes using the same workflow you can replicate:

# If installed as plugin:
/navox-agents:agency-run Build a {browser-based} {Cookie Clicker game} with {Atari pixel art} vibes where {crabs eat cookies}. No authentication. No backend. Single HTML file, runs in any browser. Make it {addictive} and {funny}.

# If installed manually:
/agency-run Build a {browser-based} {Cookie Clicker game} with {Atari pixel art} vibes where {crabs eat cookies}. No authentication. No backend. Single HTML file, runs in any browser. Make it {addictive} and {funny}.

Replace the {variables} with your project specifics. The system will:

1. Diagnose your request and map the needed team
2. Design the stack, API contracts, and security model
3. Pause at Gate 1 for your review and approval
4. Parallel execution of UI/UX wireframes and security review
5. Pause at Gate 2 for your approval to build
6. Build the implementation with unit tests
7. Final checkpoint with the app running locally

The Workflow — How the Agents Collaborate

The agents follow a structured pipeline:

flowchart TD
    CLI["`**$ /agency-run** your prompt here`"]
    CLI -->|your prompt| AD
    
    subgraph ARCH ["🏗️ Architect · Opus 4.6"]
        AD["DIAGNOSE<br>reads request · maps team · flags blockers"]
        ADE["DESIGN<br>stack · auth · API contracts · security · testing"]
        AD -->|team plan| ADE
    end
    
    ADE -->|system design doc| G1
    G1{{"⚠️ Gate 1<br>you review + approve"}}
    
    G1 -->|auth + UX brief| UX
    G1 -->|auth model + threats| SEC1
    
    subgraph PARALLEL1 ["runs in parallel"]
        UX["🎨 UI/UX · Sonnet 4.6<br>FLOW → WIREFRAME → SPEC<br>wireframes · component specs · all states"]
        SEC1["🔐 Security · Opus 4.6<br>DESIGN-REVIEW<br>auth model · threat surface · constraints"]
    end
    
    UX -->|wireframes + specs| G2
    SEC1 -->|auth constraints| G2
    G2{{"⚠️ Gate 2<br>you approve — cleared to build"}}
    
    G2 -->|cleared to build| FS1
    FS1["⚙️ Full Stack · Sonnet 4.6<br>BUILD<br>code + auth implementation + unit tests"]
    FS1 -->|working code + tests| CP
    CP{{"⚠️ Checkpoint<br>app running locally · LGTM / FEEDBACK / STOP"}}

Notice the parallel execution after Gate 1—UI/UX and Security work simultaneously, saving time. Also note the model specialization: Opus 4.6 handles architecture and security (complex reasoning), while Sonnet 4.6 handles UI/UX and implementation (faster, cheaper).

Why This Matters — Beyond Single-Agent Claude

Most Claude Code users work with a single AI instance. Navox introduces multi-agent orchestration where different models handle different specialties. This is more efficient than asking one Claude to context-switch between architecture, security, UI, and implementation.

The HITL checkpoints solve a common problem: AI going off-track. By requiring human approval at key decision points, you maintain control without micromanaging every line of code.

Try It Today

If you regularly build full applications with Claude Code, Navox Agents can structure that process. Start with a simple project to understand the flow, then scale to more complex builds. The 7-minute cookie clicker demo shows what's possible when AI agents work in a coordinated, human-supervised pipeline.