By tonone-ai
Build scheduled reporting pipelines that run SQL queries, compare metrics historically, trigger threshold alerts, and deliver results via Slack or email.
Based on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
npx claudepluginhub tonone-ai/tonone --plugin lens-reportData analytics & BI engineer — dashboards, metrics design, reporting, data storytelling
Business operations command center for Claude Code — 61 skills, 21 agents, and a smart background daemon that manage communications (WhatsApp/Email/Slack/Telegram), projects, infrastructure (all AWS services), revenue (Stripe + RevenueCat), e-commerce (Shopify), marketing (Klaviyo/Meta/GA4/GSC), monitoring (Datadog/New Relic/OTEL), and voice (Bland AI/ElevenLabs/Whisper). Includes /ops:ops-ar A&R (audio analysis + demo verdict cards), /gtm go-to-market planner, /ops:projects portfolio dashboard, /ops:ops-mac macOS diagnose-and-fix (bundles the macos-toolkit CLI suite — security, launchd, network, disk, system health), YOLO mode for autonomous operation with 4 parallel C-suite agents, /ops:ops-home smart home control via Homey Pro, /ops:ops-unifi UniFi network control (Site Manager + Network + Protect APIs), and /ops:ops-feature-dev overlay for the feature-dev companion plugin.
Generate analytics reports and dashboard configurations from project data
DevOps and Data Engineering with AWS, GCP, Ansible, dbt, and SQLMesh expertise
Use this agent when analyzing metrics, generating insights from data, creating performance reports, or making data-driven recommendations. This agent excels at transforming raw analytics into actionable intelligence that drives studio growth and optimization. Examples:\n\n<example>\nContext: Monthly performance review needed
Create intelligent alerting rules for performance monitoring
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".