By tonone-ai
Design and audit CDN configurations, edge routing, and global distribution strategies across Cloudflare, AWS, GCP, and Azure to minimize latency and optimize cache performance.
Design a CDN configuration — caching rules, TTLs, and origin shield setup.
Audit existing CDN and edge configuration — find cache misses, missing headers, and performance gaps.
Design an edge routing and geo-distribution strategy — latency routing, failover, and edge logic.
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 edgeEdge skill: edge-cdn
DevsForge cloud architecture specialist for AWS, Azure, GCP multi-cloud solutions and optimization.
Comprehensive Cloudflare platform skill: Workers, Pages, storage (KV, D1, R2), AI, networking, security, and infrastructure-as-code.
Implement caching strategies with Redis, CDN, and HTTP headers
Upstash Context7 MCP server for up-to-date documentation lookup. Pull version-specific documentation and code examples directly from source repositories into your LLM context.
Consult multiple AI coding agents (Gemini, OpenAI, Grok, Perplexity, plus codex, antigravity, and grok CLIs when installed) to get diverse perspectives on coding problems
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".