Printing Press Claude skill
Connect Claude Code to tools that were never built for AI. Klaviyo, Google Ads, Meta Ads. No waiting for official integrations.
Who this is for
Best for operators, founders, and dev teams that want Claude to control tools today instead of waiting for official MCPs.
We would package internal CLI skills for your stack with logging, dry-run modes, role-based access, and a review gate before any spend or send action runs live.
Setup steps
Install the Printing Press Claude skill from the project site.
Open Claude Code and confirm the skill is registered.
Point it at the target tool's API docs and let it draft the CLI plan.
Run the generated CLI on a sandbox account before connecting live ad spend or customer data.
Before you connect live data
- • Run dummy data first. Real client data is not a test bed.
- • API keys never go in a public repo. Use env vars and a secrets manager.
- • Add logging, access control, monitoring, and a rollback path before launch.
- • Read the license. Forking a repo without checking is how lawsuits start.
Credit the original author
Printing Press is a third-party product. Review its terms and each connected platform's API policy before use.
We list this as a guide, not as our build, unless we are actively maintaining a fork.
Paste this into Claude. It will install it for you.
Open Claude or Claude Code. Paste the prompt below. It will ask you a few setup questions, then walk you through every step adapted to your machine.
You are helping me install and run **Printing Press Claude skill** on my machine. Repo / link: https://printingpress.dev/ Category: Developer automation What it does: Connect Claude Code to tools that were never built for AI. Klaviyo, Google Ads, Meta Ads. No waiting for official integrations. Difficulty: Medium Setup steps from the public guide: 1. Install the Printing Press Claude skill from the project site. 2. Open Claude Code and confirm the skill is registered. 3. Point it at the target tool's API docs and let it draft the CLI plan. 4. Run the generated CLI on a sandbox account before connecting live ad spend or customer data. Before writing or running anything, ask me these in ONE batch and wait for my reply: 1. What operating system am I on? (macOS / Windows / Linux) 2. Do I already have Docker installed and running? 3. Do I have Git installed? 4. Do I have Node or Python installed, and what versions? 5. Which model provider keys do I have available right now? (Anthropic, OpenAI, Gemini, OpenRouter, none) 6. Where do I want this installed on disk? 7. Is this just to test locally, or am I planning to connect it to live business data soon? 8. Anything sensitive (real client data, payment access, mailbox access) it should NOT touch on this machine? After I answer, walk me through each setup step adapted to my environment. Stop after each step, show me the command, and wait for me to confirm it ran before moving on. If a step fails, diagnose the actual error before suggesting the next move. Do not connect this to live business data until I explicitly say go.
Want it wired into your business instead of your laptop?
A repo on your machine is a starting point. The work that pays back is connecting it to the CRM, inbox, payments, and team processes you already run. That is the part we ship.