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trafego-analise

Generate narrated Meta Ads VTSD analyses from cached Graph API insights.

15|16|Updated May 6, 2026
Search Tags:#meta ads#creative fatigue#pixel tracking#budget planning#vt sd#funnel diagnosis#campaign comparison
One-click install
npx skills add https://github.com/ReadyToGo-Education/fluxo_criativo --skill trafego-analise
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: trafego-analise
Source: https://github.com/ReadyToGo-Education/fluxo_criativo/tree/main/.claude/skills/trafego-analise
Command: npx skills add https://github.com/ReadyToGo-Education/fluxo_criativo --skill trafego-analise

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python3, curl, urllib, json, and includes scripts (resource) components.

What problem does it solve?

This Skill turns Meta Ads performance data into a narrated, VTSD-method analysis so you can understand what is happening in your funnel and what to do next.

Core Features & Use Cases

  • VTSD narração com menu de outputs: lets the student pick one of multiple narrative outputs (diagnóstico, funil, criativos, geo, timing, histórico, problemas ocultos, orçamento, comparativo A x B).
  • Handoff orientado para execução: when the analysis implies an action, it routes to the appropriate executing skill (optimize, scale, rules, creatives tests, audiences, pixel diagnosis).
  • Data-first pipeline com cache: reads insights via /trafego-insights using local cached data, and computes KPIs and signals needed for VTSD storytelling without inventing metrics.

Quick Start

Invoke the trafego-analise skill and choose the output you want (for example, output 1 to get a 60-second diagnosis), then provide the period and follow the narrative and recommended next steps.

Frequently Asked Questions about trafego-analise

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I diagnose budget waste and creative fatigue in my Meta Ads campaigns?▼

Meta Ads budget waste and creative fatigue are diagnosed by computing funnel KPIs and audience health signals from cached Graph API insights data, generating a narrated VTSD analysis that isolates underperforming variables.

What is the VTSD method for Meta Ads funnel diagnosis?▼

The VTSD method for Meta Ads funnel diagnosis is a narrated analysis framework pulling performance insights and computing KPIs to generate guided outputs covering timing, demographics, and hidden tracking issues.

Can I run a VTSD analysis comparing two Meta Ads campaigns without inventing missing metrics?▼

Yes, you can run an A/B-like campaign comparison using strict non-invention rules for missing metrics, analyzing cached Graph API insights data to evaluate performance differences without fabricating KPIs.

How do I detect hidden pixel tracking issues from Meta Ads performance data?▼

Hidden pixel tracking issues are detected by analyzing local cached insights data to identify funnel KPI discrepancies, routing the narrated VTSD output to a dedicated pixel diagnosis execution step.

Do I need Python and local cache to generate narrated Meta Ads insights?▼

Yes, you need Python3 along with curl, urllib, and json dependencies to fetch and process Graph API insights data into a local cache, which is required to compute KPIs for the narrated VTSD output.

What is the best way to analyze Meta Ads geo and demographic efficiency?▼

The best way to analyze Meta Ads geo and demographic efficiency is selecting the geo narrated output from the VTSD menu, which processes cached performance insights to compute demographic KPIs and signal geographic budget reallocations.

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