By tonone-ai
Design CDN configurations such as caching rules, TTLs, and origin shield setups for Cloudflare, CloudFront, and Fastly directly from the command line.
Based on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
npx claudepluginhub tonone-ai/tonone --plugin edge-cdnInfrastructure Specialist Team — Edge: Edge computing and CDN — global distribution, cache strategy, edge functions, latency optimization
Implement caching strategies with Redis, CDN, and HTTP headers
Caching specialist for Redis patterns, Memcached, cache invalidation strategies, TTL management, cache-aside pattern, write-through caching, CDN integration, and HTTP caching headers. Use when implementing or optimizing caching strategies.
Comprehensive Cloudflare platform skill: Workers, Pages, storage (KV, D1, R2), AI, networking, security, and infrastructure-as-code.
20-category solo-SaaS-founder platform — autonomous engineering OS, 18+ agents, 117 doctrine rules, 20+ slash commands, production forge script, LLM eval harness, MCP registry, DO agent scaffolding, RAG pipeline, multi-tenant subdomain provisioning, full-document processing (DOCX/XLSX/PDF/PPTX), and 32 AI-tool platform variants. One-line prompts to deployed Cloudflare Workers products.
Fastly development tools and platform skills
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".