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
Based on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
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.
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
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.
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