From mureo
Applies marketing diagnostic frameworks for campaign analysis, prioritizing root cause identification over symptom treatment. Grows expertise from user corrections.
How this skill is triggered — by the user, by Claude, or both
Slash command
/mureo:_mureo-pro-diagnosisThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
A growing knowledge base of marketing diagnostic expertise. This skill starts with foundational frameworks and **learns from your corrections** — every time you point out a missed insight or wrong recommendation, the knowledge is captured here for future use.
A growing knowledge base of marketing diagnostic expertise. This skill starts with foundational frameworks and learns from your corrections — every time you point out a missed insight or wrong recommendation, the knowledge is captured here for future use.
How this skill grows: When you correct the agent's analysis during /daily-check, /rescue, or other commands, the agent will ask if the insight should be saved. Approved insights are appended to this file as new entries under the appropriate section.
A professional marketer asks "Why?" before recommending changes:
When analyzing a campaign, work through issues in this priority:
1. Structure → Is the account structure appropriate for the budget?
2. Data → Is there enough conversion data for the bidding strategy?
3. Targeting → Are keywords/audiences reaching the right people?
4. Creative → Are ads relevant, compelling, and aligned with the LP?
5. Bids/Budget → Are bid targets and budgets realistic?
Fix higher-level issues before lower-level ones. Optimizing bids on a structurally broken account is like tuning the engine of a car with flat tires.
This section grows as you use mureo. Each insight is learned from real campaign experience.
No insights learned yet. As you use mureo and correct the agent's recommendations, knowledge will accumulate here.
npx claudepluginhub logly/mureo --plugin mureoAudits marketing performance across Meta Ads, TikTok Ads, Google Ads, and organic channels. Diagnoses root causes of issues like high CPMess or low ROAS, benchmarks against industry data, and outputs a 48h action plan plus weekly optimization checklist.
Applies statistical thinking to marketing ad account decisions, distinguishing signal from noise and requiring evidence before strategy changes.
Use this skill when the user wants to audit, review, or diagnose their paid media campaigns. Activate when the user says "audit my campaigns", "check my Google Ads", "why is my CPA high", "review my paid media", "what's wrong with my ads", "analyze my campaigns", or asks about campaign performance on Google Ads, Meta, LinkedIn Ads, TikTok Ads, or any other paid channel. Works best with Dataslayer MCP connected. Also works with manual data.