Individual skill
meta-ads-audit
Use this skill when someone wants a Meta Ads (Facebook and Instagram) account audited or optimized at senior-media-buyer depth: account health, which conversion metric to run on, campaign structure, ad set bid and audience splits, top-performer analysis, or video creative diagnosis. Runs a health check on event match quality and audience segments, sets the primary conversion metric by account type, detects the active campaign structure, applies Pareto analysis to ads, and reads hook rate and hold rate to diagnose creative. Read-and-recommend only: it never changes the account, the user applies every recommendation in Ads Manager. Trigger phrases: Meta Ads audit, creative fatigue, which ads to pause, ad set analysis, hook rate, pixel issues, why did ROAS drop.
skills/aditya-sriram/meta-ads-audit/SKILL.md
Source commit 5d786aad0c7b2ca59b1abf1f601f9407ca261996
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- Last checked
- Nov 11, 2026
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- 237
- Repository last updated
- Oct 20, 2026
- License
- MIT
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> 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.
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## 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.
