pv-udpv

Configure Envoy proxy for HTTP reverse proxying, TCP forwarding, TLS termination, gRPC proxying, or traffic management. Use when creating or editing Envoy bootstrap YAML configs.

Configure frp (Fast Reverse Proxy) to expose services behind NAT or firewalls. Use when setting up frps (server) and frpc (client) configs for TCP, UDP, HTTP, HTTPS, or SOCKS5 tunnelling.

Configure go-gost (Go Simple Tunnel) proxy. Use when setting up SOCKS5/HTTP proxies, port forwarding, proxy chaining, SSH tunnels, TLS-encrypted proxies, or DNS-over-TLS with go-gost v3.

Configure HAProxy for TCP or HTTP load balancing, SSL/TLS termination, and ACL-based routing. Use when creating or editing haproxy.cfg files for frontends, backends, and listen sections.

Configure nginx as a reverse proxy, load balancer, stream (TCP/UDP) proxy, SSL termination frontend, or HTTP forward proxy. Use when working with nginx.conf or nginx stream module configs.

Configure Proxyman for HTTP/HTTPS traffic interception on macOS/iOS. Use when writing Proxyman addon scripts to rewrite headers, mock responses, block requests, or map URLs to local fixtures.

'Configure Traefik reverse proxy with Docker provider, Let\'s Encrypt TLS, middlewares (auth, rate-limit, headers), or TCP routing. Use when creating or editing traefik.yml and dynamic config files.'

Configure v2ray or Xray-core proxies with VMess, VLESS, Shadowsocks, or SOCKS5 protocols. Use when creating or editing v2ray/Xray JSON config files with inbounds, outbounds, and routing rules.

Reliable workflows for creating and running notebooks (IDLE/IPython/Jupyter/VS Code) with Cline hooks, magics, and context hygiene

Operate Cline CLI safely: core concepts, sandbox rules, provider/model selection, approvals, and common workflows

Iterative improvement of requirements and plans through dialogue and feedback

Deep knowledge gathering with memory-aware search

Execute LLM inference directly in ClickHouse using OpenAI, Claude, or Perplexity via Python UDFs. Use for text analysis, classification, summarization, or Q&A systems at scale.

Build production RAG (Retrieval-Augmented Generation) systems using ClickHouse for vector storage, semantic search, and LLM-powered Q&A. Use when building knowledge bases, chatbots, or document Q&A systems.