Capture leads on WhatsApp and save them to Sheets
An n8n WhatsApp agent asks leads for their name and email and automatically saves them to Google Sheets, shown in a demo.
A Claude Code skill runs parallel subagents performing 190 audit checks across ad platforms and produces a prioritized action plan.
A Claude Code skill runs parallel subagents performing 190 audit checks across ad platforms and produces a prioritized action plan.
The Claude Ads skill is run via one command that launches six parallel subagents. They execute 190 checks (74 on Google, 46 on Meta, plus the rest on YouTube, LinkedIn, TikTok, and Microsoft Ads), apply the 3x Kill Rule to flag campaigns, enforce per-platform budget rules, run compliance checks for housing/credit/finance/healthcare, and pull from 11 industry templates. The user grants ad-account access and executes the command; subagents produce the consolidated output autonomously.
It outputs a single Ads Health Score and revenue-impact-ranked action plan that replaced a $4,000/month agency. No performance metrics or shortfalls are stated.
Free, open-source MIT project with 714 GitHub stars.
I run ads on [list of platforms, e.g. Google, Meta, LinkedIn]. Using the exports or reports in [folder path], check each account for wasted spend, weak targeting, missing tracking and poor creative performance. Finish with a single prioritized action plan ranked by likely impact, with a short reason for each item. Do not change anything in the accounts; this is read-only.
An n8n WhatsApp agent asks leads for their name and email and automatically saves them to Google Sheets, shown in a demo.
An n8n agent handles customer WhatsApp messages, searches info, checks the calendar, logs to Sheets or Notion, and replies by WhatsApp and email.
A Lindy agent researches YouTube ideas and scripts, and another emails a brief on discovery-call contacts 10 minutes before meetings; complex content stayed on Make.