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.
Senior Product Designer and UX Engineer that produces user flows, wireframes, visual design, and component specs. Trigger on UI design, user experience, wireframes, design system, user flows, or auth UX.
Onboard the full 15-agent engineering team and guide the user through the sprint cycle workflow.
Orchestrate a coordinated engineering team from .claude/agents/ to complete a task end-to-end. Supports FULL, QUICK, and HOTFIX sprint modes. Use when a task requires more than one agent or when you're not sure which agent to pick.
Principal Software Architect that produces system designs, auth models, and team coordination. Trigger on architecture, system design, tech stack, scalability, auth strategy, or when the user doesn't know which agent they need.
Session persistence agent that saves and restores task context across sessions, enabling pause-and-resume for any sprint. Trigger on save context, restore context, session handoff, pause, resume, or context snapshot.
Principal Software Architect that produces system designs, auth models, and team coordination. Trigger on architecture, system design, tech stack, scalability, auth strategy, or when the user doesn't know which agent they need.
Session persistence agent that saves and restores task context across sessions, enabling pause-and-resume for any sprint. Trigger on save context, restore context, session handoff, pause, resume, or context snapshot.
Senior DevOps Engineer that builds CI/CD pipelines, Docker containers, deployment strategies, and infrastructure setup. Trigger on CI/CD, Docker, deployment, pipeline, infrastructure, GitHub Actions, Railway, or Vercel.
Senior Full Stack Engineer that builds production code with unit tests from architecture docs and UX specs. Trigger on build, implement, code, debug, refactor, full stack, frontend, backend, or auth implementation.
Browse and install individual Navox agents. Trigger on install agent, add agent, which agent do I need, get architect, get security.
Uses power tools
Uses Bash, Write, or Edit tools
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15 AI specialists. One sprint cycle. Zero dependencies. Think. Plan. Build. Review. Test. Ship. Reflect.
One plugin. 15 agents. Full sprint cycle. Install in 30 seconds — no dependencies, no platform, no login.
/plugin marketplace add https://github.com/navox-labs/agents
A Claude Code plugin and a Python CLI for autonomous orchestration. Install the plugin for interactive sprints. Use the SDK to run your team while you sleep.
When I heard AI will replace engineers, I wanted to find out how. Not in theory — in practice. How does a non-human replace humans in an engineering capacity?
I'm Nahrin, founder and builder at Navox Labs. Earlier in my life I worked in building architecture — reviewing blueprints, designing structures, making sure everything held together before a single brick was laid. I'm the only architect I know who transitioned to full-time software engineering without a formal CS education. I told myself: once an architect, always an architect. I understood tech through a builder's lens — scalability, optimization, reliable structure.
I've been building physical products for 16 years and tech products for 7. Twenty-three years of building, and I never thought AI could replace my ability to make decisions. It can't. But it can execute them.
Navox Agents is how I ship.
As a solo founder, I needed a reliable team that requires minimum management. Not a chatbot I have to babysit. Not a prompt I cross my fingers on. A team of specialists with defined roles, handoff contracts, quality gates, and the discipline to self-evaluate before passing work downstream.
I believe a single builder with the right tooling can move faster than a traditional team. This is my answer.
Fully open source. A Claude Code plugin for interactive sprints and a Python CLI for autonomous orchestration. I combined these two because I want this to reach as many people as possible. These agents are built with best practices from Anthropic themselves. They self-evaluate for high reliability. They're orchestrated and work exactly like a team of specialists.
This is an open-source software factory. I use it every day. I'm sharing it because these tools should be available to everyone.
Fork it. Improve it. Make it yours.
And if you want to hate on free open-source software — you're welcome to, but I'd rather you just try it first.
Founders and CEOs — especially technical ones who still want to ship. Run a full sprint while you focus on strategy, fundraising, or sleep.
First-time Claude Code users — structured roles instead of a blank prompt. Instead of figuring out what to ask Claude, just tell the team what to build.
Tech leads and staff engineers — orchestrated specialist agents that follow your architecture decisions, not fight them. Sprint chains enforce the same discipline you'd expect from a senior team.
Solo builders — one person, 15 specialists. The math works.
$ /agency-run FULL Build a cookie clicker game with crab theme
→ Strategist: "Single HTML file is smart — no build step, instant deploy.
But cookie clickers need prestige mechanics to retain players. Adding to spec."
→ Spec Writer: 7-section spec with 12 acceptance criteria
→ Architect: Component tree, state machine, CSS custom properties for theming
→ Gate 1: You review. You approve.
→ UX + Security: Running in parallel...
→ Full Stack: 1,330 lines written. All acceptance criteria met.
→ Checkpoint: App running at localhost:3000 — LGTM / FEEDBACK / STOP?
→ Reviewer: 7 specialists. 2 issues found. Auto-fixed.
→ QA: 6 bugs caught. 6 bugs fixed. 14 tests passing.
→ Security: No vulnerabilities. Auth N/A. Cleared.
→ Shipper: v1.0.0 tagged. PR #1 created.
→ Retro: 4 learnings captured to project memory.
Total time: 7 minutes. Human edits: 0.
nom.sh — one prompt, 7 minutes:
A crab cookie clicker. 1,330 lines. 6 bugs caught by QA. Zero human edits. See the code
npx claudepluginhub codeblackbyshazzy/agentsGive your AI a memory — mine projects and conversations into a searchable palace. 19 MCP tools, auto-save hooks, and guided setup.
A subconscious for Claude Code. A Letta agent watches your sessions, accumulates context, and whispers guidance back.
Skill memory layer for Claude Code — auto-capture, learn, and reuse skills from Acontext
Comprehensive Rust development assistant with meta-question routing, coding guidelines, version queries, and ecosystem support
Semi-automated research assistant for academic research and software development, with skills for literature review, experiments, analysis, writing, and project knowledge management
Comprehensive skill pack with 66 specialized skills for full-stack developers: 12 language experts (Python, TypeScript, Go, Rust, C++, Swift, Kotlin, C#, PHP, Java, SQL, JavaScript), 10 backend frameworks, 6 frontend/mobile, plus infrastructure, DevOps, security, and testing. Features progressive disclosure architecture for 50% faster loading.
Harness-native ECC plugin for engineering teams - 67 agents, 278 skills, 94 legacy command shims, reusable hooks, rules, MCP conventions, and operator workflows for Claude Code plus adjacent agent harnesses
Tools to maintain and improve CLAUDE.md files - audit quality, capture session learnings, and keep project memory current.
Real-time statusline HUD for Claude Code - context health, tool activity, agent tracking, and todo progress
The Claude Code knowledge system — 380+ skills, 182+ agents, 100+ commands, 40 hooks, 32 rules, and workflows.
Access thousands of AI prompts and skills directly in your AI coding assistant. Search prompts, discover skills, save your own, and improve prompts with AI.