By tonone-ai
Cluster support tickets, NPS verbatims, app store reviews, and churn surveys by theme, separate signal from noise, and produce actionable insight reports
Based on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
npx claudepluginhub tonone-ai/tonone --plugin echo-feedbackUse this agent when you need to analyze user feedback from multiple sources, identify patterns in user complaints or requests, synthesize insights from reviews, or prioritize feature development based on user input. This agent excels at turning raw feedback into actionable product insights. Examples:\n\n<example>\nContext: Weekly review of user feedback
User researcher — interviews, personas, Jobs-to-Be-Done, and customer feedback synthesis
Use 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
Amplitude-powered analytics skills — analyze dashboards, charts, experiments, feedback, and account health with AI.
Evidence-gated product decisions that start by scoping product context, evidence sources, and the desired deliverable before ranking opportunities, deciding on bets, pressure-testing plans, or writing outputs. Keeps evidence gathering, problem framing, Value/Confidence scoring, readiness gates, and audit files behind a simpler user experience.
Entrepreneur OS operations: council debates, customer fit reviews
Design and build networking infrastructure — VPCs, subnets, DNS, load balancers, firewall rules. Use when asked to "set up networking", "VPC design", "configure DNS", "load balancer setup", "network architecture", or "firewall rules".
Generate onboarding documentation — what this project does, how to set up locally, where things live, key decisions, how to deploy. Written for day-one engineers who know nothing. Use when asked for "onboarding docs", "new engineer guide", "how to get started", or "developer setup".
Implement a reusable, accessible, typed component from a design spec. Use when asked to "create a component", "build a widget", "implement this design", or "reusable UI element".
Verify observability posture — audit monitoring coverage, find blind spots, prioritize gaps. Use when asked "is monitoring sufficient", "observability review", "are we covered", or "pre-launch monitoring check".
ML reconnaissance — inventory all models, pipelines, data sources, and monitoring. Use when asked "what ML do we have", "model inventory", or "ML assessment".