Self-Hosted Infra Pack
Run production services on your own Raspberry Pi or budget VPS: hardened systemd units and staged deploy scripts, a multi-domain Cloudflare Tunnel, multi-instance Postgres with backup and restore, a multi-tenant SaaS stack with FastAPI tenant scoping and Clerk orgs, ARQ background workers, a self-hosted RAG and agent memory system, Telegram bot deploy, and a Discord Activity on a Pi. Own your infra.
Works with every agent that reads SKILL.md — Claude Code, Cursor, Codex CLI, Gemini CLI, GitHub Copilot, Windsurf, OpenClaw, and more.
One payment, lifetime access. 13 skills unlock instantly in your library.
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What's included
13 skills
Daily backup-and-restore for a self-hosted Postgres app or Pi: a custom-format pg_dump, app-data tar, config copy, keep-window rotation, and a low-disk Telegram alert, plus a confirm-to-proceed restore, systemd timer, and idempotent install.
Manage multiple Postgres versions and extensions on one Linux box with a port registry and unified backups.
Deploy a multi-domain Cloudflare Tunnel with systemd hardening and safe-edit workflows for self-hosted apps.
Orchestrate a production-grade, multi-tenant SaaS stack on a single Raspberry Pi or budget VPS.
Prevent data leaks with auto-injected SQLAlchemy tenant scoping and Cloudflare Access auth for FastAPI SaaS apps.
Scaffolds a python-telegram-bot from a reusable base class and deploys it hardened on a Raspberry Pi with systemd.
Builds a self-hosted second brain on a Raspberry Pi: pgvector RAG over your notes with local Ollama embeddings and a Telegram interface.
Deploys MemPalace long-term agent memory on a Raspberry Pi, a memory palace with knowledge graph and diary, registered as an MCP server.
Builds a Python FallbackProvider that chains Claude, Gemini, Qwen, and Ollama so your AI pipeline never fully stops.
A production-ready Python integration for Gemini using a unified AIProvider interface for easy model swapping.
Production-ready Claude API integration with dual-model routing, token tracking, and resilient retry logic.
Generate a production-ready Python client for Alibaba Qwen models with text, vision, and reasoning tag filtering.
Safe, read-only diagnostic tool for troubleshooting self-hosted stacks, port conflicts, and service failures.
See it in action
You say
Set up a new pgvector instance for my 'knowledge-base' app. I already have a native Postgres on 5432, so I need a free port and a nightly backup script.
Your agent does
I've generated a configuration in postgres-multi/. I assigned 'knowledge-base' to port 5433 using the docker-pgvector template.
- Port 5433 added to PORT-REGISTRY.md
- Generated docker-compose.yml with 127.0.0.1:5433 binding
- Added nightly backup entry to backup-all.sh (14-day retention)
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.