By tonone-ai
Designs and audits business operations — processes, compliance programs, legal documents, OKRs, and vendor relationships — with stage-appropriate artifacts for companies from $0 to $100M.
Manage vendor relationships — vendor selection scorecard, contract review checklist, renewal tracking, and vendor consolidation audit. Use when asked to "evaluate this vendor", "review this contract", "track vendor renewals", or "reduce our SaaS spend".
Operational efficiency audit — identify waste, redundancy, and friction across processes, tools, and team workflows. Use when asked to "audit our operations for waste", "where are we inefficient", "what tools are we paying for but not using", or "reduce operational overhead".
Design meeting and communication cadence — what meetings to run, how often, who attends, and what decisions they make. Use when asked to "design our meeting structure", "what meetings should we have", "reduce meeting load", or "build our operating rhythm".
Build or audit compliance program — SOC2, GDPR, HIPAA, or ISO 27001 readiness assessment, gap analysis, and remediation roadmap. Use when asked to "do we need SOC2", "are we GDPR compliant", "what does our compliance program need", or "build a security policy".
Draft or review legal ops documents — NDA, MSA, SaaS agreement review checklist, vendor contract terms. Use when asked to "review this contract", "draft an NDA", "what should I look for in this agreement", or "build our contract review process".
Uses power tools
Uses Bash, Write, or Edit tools
Own this plugin?
Verify ownership to unlock analytics, metadata editing, and a verified badge. GitHub access is read-only (username + org membership).
Sign in to claimOwn this plugin?
Verify ownership to unlock analytics, metadata editing, and a verified badge. GitHub access is read-only (username + org membership).
Sign in to claimBased on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
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 keelUltra-compressed communication mode. Cuts 65% of output tokens (measured) while keeping full technical accuracy by speaking like a caveman.
Comprehensive UI/UX design plugin for mobile (iOS, Android, React Native) and web applications with design systems, accessibility, and modern patterns
Multi-model consensus engine integrating OpenAI Codex CLI, Gemini CLI, and Claude CLI for collaborative code review and problem-solving.
Unified capability management center for Skills, Agents, and Commands.
Design Team — Copy: UX writing and content design — microcopy, error messages, onboarding flows, UI content strategy
Design or audit a feature store
AI Operations Team — Trace: LLM tracing, span capture, prompt/completion logging, cost attribution, and AI system debugging.
Design an API versioning and deprecation policy
Design Team — Wire: Prototyping and handoff — interactive flow docs, component specs, developer handoff