Adapted from the GoMarble Paid Media Claude Skills repository (https://github.com/gomarble-ai/gomarble-ai-paid-media-claude-skills) by its author, shared under GoMarble's attribution license. Works with any data source: a connected ads MCP such as GoMarble, CSV exports, screenshots, or pasted tables.

A consolidated set of skills for analyzing and optimizing Meta Ads (Facebook + Instagram) accounts. These skills are framework-agnostic - the analytical logic (Pareto, Hook/Hold scenarios, decision matrices, guardrails) applies regardless of where the data comes from.

The skills define what to know, what data to look for, how to interpret it, and how to recommend action. They do not depend on any specific tool integration.

Read-and-recommend only. These skills never make changes to the user's Meta Ads account. Claude reads data and produces recommendations in plain language; the user applies the recommended changes themselves in Meta Ads Manager.

Data Sources Are Not All Equal

Data can come from four kinds of sources, but they have very different completeness. Some skill rules silently break on weaker sources. Always identify the source first and consult the Data Source Compatibility Matrix below before applying any rule.

meta-ads-audit

Data Sources Are Not All Equal