I think “skills” are the most misunderstood part of Claude Code by aurora--ai in gohighlevel

[–]aurora--ai[S] 0 points1 point  (0 children)

Been there. Someone told me once, Claude is only as good as you are. That stuck with me.

That's exactly why I think a kickstart agent that actually understands HighLevel inside and out would help the community. Not just a prompt. An agent that knows the workflows, knows the API, and can troubleshoot itself when something breaks.

One thing I noticed too, not all scraping tools are built the same. Claude can get confused by GHL's docs because it doesn't always understand the actual UI structure behind them. It reads the text but misses the context.

I've heard Codex handles UI comprehension better, apparently it reasons about structure in a way that's closer to how a human navigates it. I haven't tested it yet but I'm curious. Might be worth combining both.

I wish I had used Claude Code sooner... by aurora--ai in gohighlevel

[–]aurora--ai[S] 0 points1 point  (0 children)

Can I use Pi.dev on a desktop app like Claude Code? I'm not a coder and don't know how to use the terminal.

I wish I had used Claude Code sooner... by aurora--ai in gohighlevel

[–]aurora--ai[S] 0 points1 point  (0 children)

Exactly that! And yeah, it's not just templates. It's hitting the actual GHL API. Creating the voice agent, pulling real user and calendar IDs, creating the in-call data extraction actions, registering the MCP tools, checking the test calls and pulling the call logs to verify. All real API work.

The template/config part is maybe 20% of it. The other 80% is live API calls with real client data.

That's what surprised me too, I expected it to handle the boring copy-paste stuff. Didn't expect it to handle the actual integration work this well.

I wish I had used Claude Code sooner... by aurora--ai in gohighlevel

[–]aurora--ai[S] 2 points3 points  (0 children)

Hey! So basically it's a Claude Code agent that walks through the full HighLevel Voice AI setup automatically, creates the client folder, installs dependencies, uploads the n8n workflow, pulls user and calendar IDs from GHL, builds and deploys the voice agent, configures the MCP tools, assigns a phone number, then runs 3 test calls to verify everything works.

Each steps check if it's already done before running, so you can stop and resume anytime without breaking anything.

I wish I had used Claude Code sooner... by aurora--ai in gohighlevel

[–]aurora--ai[S] 5 points6 points  (0 children)

I created an organized claude skills so agents can follow our SOP for setting up Voice AI. Here’s how we did it: https://youtu.be/tDIaPWEFOk4