By tonone-ai
Platform engineer — developer experience, service catalogs, internal CLIs, golden paths, environment management
Audit developer experience — measure onboarding time, build speed, deployment friction, and developer satisfaction. Use when asked to "DX audit", "developer experience review", "why is development slow", "onboarding assessment", or "DORA metrics".
Build a service catalog — schema, starter entries, and governance model. Produces what information to capture per service, how it's maintained, and where it lives. Use when asked to "service catalog", "what services do we have", "catalog our services", "service inventory", or "who owns what".
Set up local development environments — devcontainers, Docker Compose, one-command setup, dev/prod parity. Use when asked to "set up dev environment", "devcontainer", "docker compose for dev", "local development setup", or "one command to run".
Define a golden path — the opinionated, supported way to do a common developer task (create a new service, set up an environment, deploy a feature). Produces concrete steps, templates, and tooling. Use when asked to "golden path", "create project template", "scaffold a new service", "how should we create services", or "standardize our setup".
Platform reconnaissance — inventory all developer tooling, environments, build systems, and developer workflows for project takeover. Use when asked to "understand the dev setup", "developer tooling assessment", "platform assessment", or "how do developers work here".
Uses power tools
Uses Bash, Write, or Edit tools
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Engineering + product, second to none.
Your elite AI team as Claude Code agents. 2 leads + 21 specialists. 125 skills. Every major engineering and product discipline covered.
Simple by default. Scalable by design.
Right now, everyone gets a generalized AI assistant. Engineers, product managers, designers, strategists — all prompting separately, getting separate outputs, then copying results into Slack threads for the next person to feed back into AI. It's a relay race where every handoff loses context.
That's the wrong unit of automation. Instead of giving each person an AI assistant, give the whole company an AI team. Specialists that talk to each other, share context, and run the show end to end — from user research to infrastructure to deployment — without the copy-paste relay.
That's Tonone. Not twenty-three copies of the same generalist. Twenty-three specialists, each owning one domain, coordinated by leads who know when to call who and at what depth.
Complexity is debt. Every unnecessary abstraction, every over-engineered solution, every "just in case" feature — it all accrues interest. It slows you down today and buries you tomorrow.
Scalability compounds. When you build simple, correct foundations, they carry more weight over time without breaking. Simple systems are easier to debug, easier to extend, and easier to hand off.
No boilerplate generators. No tutorial-grade scaffolds. Production-ready output that respects your codebase, your stack, and your time.
| Agent | Hat | What They Do |
|---|---|---|
| Apex | Engineering Lead | Orchestrates the team, scopes work, controls depth and budget |
| Forge | Infrastructure | Cloud services, networking, IaC, cost optimization |
| Relay | DevOps | CI/CD, deployments, GitOps, developer experience |
| Spine | Backend | APIs, system design, performance, distributed systems |
| Flux | Data | Databases, migrations, pipelines, data modeling |
| Warden | Security | IAM, secrets, compliance, threat modeling |
| Vigil | Observability + Reliability | Monitoring, alerting, SRE, incident response, SLOs |
| Prism | Frontend/DX | UI, internal tools, developer portals |
| Cortex | ML/AI | Model training, MLOps, feature engineering, LLM integration |
| Touch | Mobile | Native iOS/Android, cross-platform, app stores |
| Volt | Embedded/IoT | Firmware, microcontrollers, edge computing, protocols |
| Atlas | Knowledge Engineering | Architecture docs, ADRs, API specs, system diagrams |
| Lens | Data Analytics & BI | Dashboards, metrics design, reporting, data storytelling |
| Proof | QA & Testing | Test strategy, E2E suites, integration testing, flaky triage |
| Pave | Platform Engineering | Developer experience, golden paths, service catalogs |
| Agent | Hat | What They Do |
|---|---|---|
| Helm | Head of Product | Orchestrates the product team, writes briefs, hands off to Apex |
| Echo | User Research | User interviews, personas, Jobs-to-Be-Done, feedback synthesis |
| Lumen | Product Analytics | Metrics frameworks, funnel analysis, OKRs, A/B test design |
| Draft | UX Design | User flows, information architecture, wireframes |
| Form | Visual Design | Brand identity, color systems, typography, design system |
| Crest | Product Strategy | Roadmap planning, prioritization, competitive analysis |
| Pitch | Product Marketing | Positioning, messaging, value prop, GTM, launch copy |
| Surge | Growth | Acquisition channels, activation funnels, retention playbooks |
Prerequisites: Claude Code v1.0+
/plugin marketplace add tonone-ai/tonone
/plugin install tonone@tonone-ai
Then just talk to them:
Engineering + Product + Operations + Legal + Design + Data Science + Security Operations + Developer Experience + Infrastructure Specialist + AI Operations team — 100 agents as Claude Code specialists. Infrastructure, DevOps, backend, security, ML/AI, mobile, UX, analytics, growth, revenue, content, PR, customer success, finance, people, operations, support, contracts, compliance, IP, governance, regulatory, color systems, typography, motion, accessibility, design tokens, forecasting, feature engineering, model training, drift monitoring, vector search, LLM fine-tuning, pen testing, detection engineering, incident response, zero trust, API docs, SDK design, developer onboarding, Kubernetes, Terraform, FinOps, service mesh, edge computing, caching, queuing, multi-cloud, chaos engineering, model deployment, LLM evaluation, AI observability, guardrails, prompt engineering, embeddings, ranking, and more.
UX designer — user flows, information architecture, wireframes, and interaction design
Backend engineer — APIs, system design, performance, distributed systems
QA & testing engineer — test strategy, E2E suites, integration testing, test infrastructure, flaky test triage
Growth engineer — acquisition channels, activation funnels, retention playbooks, and PLG strategy
npx claudepluginhub tonone-ai/tonone --plugin paveEngineering lead — orchestrates the team, scopes work, controls depth and budget
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