By tonone-ai
Orchestrate a full-spectrum AI team—100+ agents as engineers, designers, data scientists, security specialists—to handle architecture, infrastructure, CI/CD, testing, AI/ML, compliance, and more directly from your codebase.
Engineering lead — orchestrates the team, scopes work, controls depth and budget
Knowledge engineer — architecture docs, ADRs, API specs, system diagrams, onboarding
Legal compliance audit — internal controls review, legal risk register, audit trail documentation
Accessibility engineering — WCAG audits, keyboard nav, screen reader testing, ARIA
API performance benchmarking — latency profiling, throughput testing, performance regression detection
Plan and scope a project — discovery, challenge assumptions, present S/M/L options with token and cost estimates. Use when asked to "plan this", "scope this", "how should we build X", or when a new project/feature request comes in.
Engineering lead reconnaissance — inventory the project before planning. Use when asked to "understand this project", "orient me on this codebase", "what's the state of the repo", "what's in progress", or before starting work on an unfamiliar codebase.
Cross-cutting review of recent work — catches gaps between specialists. Use when asked to "review what we built", "check the work", "pre-launch review", or after completing a significant chunk of work.
CTO-level project status from git and codebase state. Use when asked "where are we", "project status", "what's done", or at the start of a work session.
System takeover — take ownership of an existing codebase or inherited system. Use when "we acquired this", "previous team left", "take over this system", "inherited this codebase".
Executes bash commands
Hook triggers when Bash tool is used
Uses power tools
Uses Bash, Write, or Edit tools
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Founder + Tonone = whole company.
31 specialists. Engineering executes. Product decides. Operations runs. One session, two commands, zero meetings. 214 skills across every discipline. MIT licensed.
A solo founder used to have one choice: stay small, or hire. Now there's a third path.
Tonone is an open-source AI team you install into Claude Code. Not a generalist assistant — specialists. Each agent owns one domain deeply: infrastructure, security, user research, product strategy, growth. They share context, hand off cleanly, and produce work you can ship.
The engineering team (15 agents) builds and ships. The product team (12 agents) decides what to build and why. The operations team (4 agents) keeps the company running. Together, one founder can run what used to take a company.
Prerequisites: Claude Code v1.0+
From your terminal:
claude plugin marketplace add tonone-ai/tonone
claude plugin install tonone@tonone-ai
Or inside an active Claude Code session:
/plugin marketplace add tonone-ai/tonone
/plugin install tonone@tonone-ai
Prerequisites: Codex CLI installed
git clone https://github.com/tonone-ai/tonone
cd tonone
codex
Codex reads AGENTS.md automatically. Invoke agents and skills by describing what you want:
> Read agents/forge.md and act as Forge — audit this infrastructure
> Read agents/apex.md — plan this project with S/M/L options
> Follow the workflow in skills/warden-audit/SKILL.md
Skills are markdown workflow documents in skills/<name>/SKILL.md. Read them and follow the steps — no slash commands needed.
> /apex-plan Build a real-time analytics platform for our IoT fleet
> /helm-brief Define the next product sprint
> /forge-infra Set up cloud infrastructure for a new SaaS product
> /spine-api Design a REST API for user management
> /warden-audit Run a full security audit on this codebase
> /echo-interview Run a user research session
> /crest-roadmap Build a product roadmap
> /mint-runway How long is our runway and how do we extend it?
> /folk-hire Build a hiring pipeline for a senior engineer
> /brace-sla Define our support SLA tiers
Every specialist ships in three modes:
| Mode | What It Means | Example Skills |
|---|---|---|
| Build | Create from scratch — production-ready, not tutorials | /forge-infra, /spine-api, /prism-ui, /touch-app |
| Review | Audit and fix existing systems | /warden-audit, /relay-audit, /prism-audit, /vigil-check |
| Recon | Survey a domain for system takeover | /forge-recon, /spine-recon, /flux-recon, /apex-takeover |
Apex leads the engineering team. Tell it what you're building:
You: "Build user authentication for our SaaS"
Apex: I see 3 ways to approach this:
S — Quick & focused (Spine + Warden, ~30K tokens, ~$0.05)
Basic JWT auth with security review.
M — Solid implementation (Spine + Warden + Flux + Relay, ~120K tokens, ~$0.20)
Auth + session management + user schema + CI tests.
L — Full build-out (+ Vigil + Atlas, ~250K tokens, ~$0.45)
Everything in M + monitoring + documentation.
My recommendation: M. Which level?
Helm is the head of product. It orchestrates research, strategy, design, and marketing — then hands off a structured brief to Apex when it's time to build.
Inherited a codebase? Apex runs parallel reconnaissance across all specialists:
> /apex-takeover
Phase 1 — Recon (parallel):
Atlas maps the architecture
Forge inventories infrastructure
Relay assesses the pipeline
Warden scans for security issues
Vigil checks observability
Phase 2 — Deep dive (targeted):
Spine reviews backend quality
Flux assesses database health
Prism audits frontend
Phase 3 — Takeover report:
System map, risk assessment, quick wins, roadmap
npx claudepluginhub tonone-ai/tonone --plugin eval-regressGrowth engineer — acquisition channels, activation funnels, retention playbooks, and PLG strategy
UX designer — user flows, information architecture, wireframes, and interaction design
Backend engineer — APIs, system design, performance, distributed systems
Platform engineer — developer experience, service catalogs, internal CLIs, golden paths, environment management
Engineering team — 15 agents: Apex, Forge, Relay, Spine, Flux, Warden, Vigil, Prism, Cortex, Touch, Volt, Atlas, Lens, Proof, Pave
Engineering team — 15 agents: Apex, Forge, Relay, Spine, Flux, Warden, Vigil, Prism, Cortex, Touch, Volt, Atlas, Lens, Proof, Pave
Lean agent skills for building, shipping, strategy, and growth — no context bloat.
75 specialized AI agents across Engineering, Product, Infrastructure, Data, Security, Marketing, Sales, Finance, Legal, and People. Automatic routing to the right specialist.
Full-stack agents — frontend, backend, API, DevOps architects
Engineering process for solo founders and teams up to 50 engineers. Agents do architecture, code review, QA, and security. You make two decisions per feature.
Enterprise development toolkit for teams - DevOps, code quality, integrations, workflow automation, documentation, and performance optimization across multi-cloud and full-stack platforms