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Produce a system design doc — components, data flow, decisions made, tradeoffs, failure modes. Not a list of options. An actual design with calls made. Use when asked for "system design for", "architect this", "how should we build", or "design the backend".

Find and fix performance bottlenecks — N+1 queries, missing indexes, sync bottlenecks, caching gaps. Use when asked "why is this slow", "performance issue", "optimize this endpoint", or "N+1 queries".

Backend reconnaissance — map all routes, middleware, models, dependencies, auth, and assess code quality for project takeover. Use when asked to "understand this backend", "map the API", or "assess code quality".

API and backend code review — REST conventions, auth, validation, error handling, pagination, rate limiting, test coverage. Use when asked to "review this API", "code review", "review backend", or "pre-launch backend check".

Build a new production-ready service from scratch — config management, health checks, graceful shutdown, structured logging. Use when asked to "new service", "scaffold a backend", "bootstrap service", or "create microservice".

Autonomous multi-agent development framework with spec-driven sprints and convergent iteration

Analyze and optimize SQL queries for better performance, suggesting indexes, query rewrites, and execution plan improvements

Optimize staking rewards across multiple protocols and chains

Database plugin for stored-procedure-generator

Autonomous AI Development Platform

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Growth experiment design — structure a growth hypothesis, define metric, baseline, expected lift, and kill condition for a single experiment. Use when asked to "design a growth experiment", "test this growth idea", "experiment framework", "how do we test if this works", or "growth hypothesis".

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PLG motion design — free tier definition, activation sequence, expansion trigger points, viral mechanic assessment. Given a product, output the PLG architecture and make the calls. Use when asked to "PLG strategy", "freemium model", "product-led growth plan", "self-serve motion", "how do we add a free tier", "upgrade triggers", or "viral loop design".

Growth state reconnaissance — scan existing onboarding flows, acquisition channels, conversion funnels, and growth experiment logs to understand current growth state. Use when asked to "what's our growth state", "audit the funnel", "what growth experiments have we run", "acquisition channel inventory", or before designing new growth experiments.

Retention diagnosis + intervention plan — analyze the retention curve, identify the primary drop-off point, and produce a specific intervention plan with expected impact. Use when asked to "improve retention", "why are users churning", "build a retention playbook", "reduce churn", "win-back campaign", or "users aren't coming back".

Set up synthetic monitoring for proactive performance tracking

Build reusable Terraform modules

Analyze and optimize system throughput

Time series forecasting and analysis

Track new token launches, detect rugpulls, and analyze contract security for early-stage crypto projects

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.

First-run onboarding tour — guided walkthrough of tonone's 23 agents, key skills, and worktree sessions. Two paths: expert (~90 sec) and newcomer (~8 min). Use when asked "how do I use tonone", "what can tonone do", "show me around", or "first steps".

Produce a complete mobile app architecture design — platform choice, navigation structure, state management, data layer, key screens. Use when asked to "build a mobile app", "new app", "create iOS/Android app", "app architecture", or "cross-platform app".