By tonone-ai
Designs and audits customer support infrastructure — SLA frameworks, ticket triage, escalation paths, knowledge bases, and support playbooks — tailored to company stage. Includes a support engineer agent that diagnoses needs and outputs stage-appropriate operations.
Design escalation path -- Tier 1 to Tier 2 to Engineering handoff, decision criteria, and communication templates. Use when asked to "design our escalation process", "when should support escalate to engineering", "build an escalation runbook", or "reduce escalation rate".
Build or audit knowledge base -- article structure, coverage gaps, deflection rate, and maintenance process. Use when asked to "build a knowledge base", "what docs are missing", "improve our self-serve rate", or "audit our help center".
Design support metrics dashboard -- CSAT, FRT, TTR, ticket deflection rate, volume trends, and agent efficiency. Use when asked to "what metrics should support track", "build our support dashboard", "measure support quality", or "audit our support performance".
Design customer support onboarding flow -- first-contact experience, proactive support touchpoints, and setup success checklist. Use when asked to "design our onboarding support", "how do we support new customers during onboarding", or "reduce early churn from setup failures".
Write support playbook -- response templates, issue-type runbooks, tone guide, and common resolution paths. Use when asked to "write support templates", "build a support playbook", "train our support agents", or "standardize our support responses".
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 braceUse this agent when handling customer support inquiries, creating support documentation, setting up automated responses, or analyzing support patterns. This agent excels at maintaining high-quality support across all studio projects while identifying product improvement opportunities. Examples:\n\n<example>\nContext: Setting up support for a new app launch
Triage tickets, draft responses, escalate issues, and build your knowledge base. Research customer context and turn resolved issues into self-service content.
Full tonone team — all 31 agents (Engineering + Product + Operations) with all 177 skills
(forwward) Lean agent skills for building, shipping, strategy, and growth — no context bloat.
Use this agent when you need to optimize customer success operations for B2B enterprise clients. This agent specializes in customer health monitoring, expansion revenue identification, churn prevention, enterprise account management, and customer lifecycle optimization. Handles enterprise onboarding, adoption tracking, and strategic account growth. Examples:
Evidence-gated AI coding workflow: scan → analyze → plan → TDD → execute → fix → verify → review, powered by Codebase Memory MCP >= 0.9.0 with optional Serena LSP intelligence. Includes blast-radius planning, test/cycle gates, independent review, and Windows Git Bash hook auto-resolution.
Infrastructure engineer — cloud services, networking, IaC, cost optimization
Growth engineer — acquisition channels, activation funnels, retention playbooks, and PLG strategy
Prepare regulatory filing, disclosure notice, or government submission
Design a vulnerability management program — SLAs and asset tiers
Infrastructure Specialist Team — Kube: Kubernetes cluster design — RBAC, networking, operators, workload configuration