ds-channel-report

Aggregate cross-channel marketing data into a structured weekly report.

18|3|Updated Mar 19, 2026
One-click install
npx skills add https://github.com/Dataslayer-AI/Marketing-skills --skill ds-channel-report
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ds-channel-report
Source: https://github.com/Dataslayer-AI/Marketing-skills/tree/main/skills/ds-channel-report
Command: npx skills add https://github.com/Dataslayer-AI/Marketing-skills --skill ds-channel-report

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Cross-channel marketing performance is often fragmented across GA4, Search Console, and ad platforms, making weekly reviews slow and error-prone. This Skill automates data collection, normalization, and presentation to deliver a clear weekly snapshot with anomalies and trends. It reduces manual toil and ensures timely insights.

Core Features & Use Cases

  • Automated cross-channel aggregation from GA4, Search Console, Google Ads, Meta Ads, LinkedIn Ads, and more.
  • Anomaly detection, period-over-period comparisons, and a structured weekly report ready for stakeholders.
  • Use Case: Run a weekly performance review for a B2B SaaS team and share the results with executives.

Quick Start

Generate a weekly cross-channel report for the date range you specify or the last 7 days by default.

Frequently Asked Questions about ds-channel-report

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

FAQPage Schema
How do I automate cross-channel marketing reporting from GA4 and ad platforms?

You can generate a cross-channel weekly report by aggregating data from GA4, Search Console, Google Ads, Meta Ads, and LinkedIn Ads, automatically normalizing it to highlight anomalies and period-over-period trends.

What is the best way to compare organic and paid channel performance for a weekly review?

Comparing organic and paid channels requires aggregating cross-channel marketing data into a unified snapshot, applying period-over-period comparisons and anomaly detection to surface significant performance shifts.

Does this cross-channel reporting tool work without direct API connections to my ad accounts?

Yes, this cross-channel reporting tool accepts manually provided marketing data if direct API connections are unavailable, while operating optimally when connected via Dataslayer MCP.

Can I use Dataslayer MCP to pull Google Ads and Meta Ads data for a stakeholder-ready report?

Yes, using Dataslayer MCP to pull Google Ads and Meta Ads data enables automatic normalization and structuring into a concise, stakeholder-ready weekly performance report.

How do I ensure a deterministic conversion event when aggregating cross-channel marketing data?

Ensuring a deterministic conversion event during cross-channel data aggregation requires validating results against connected sources before outputting the final structured weekly report.

What is included in a structured cross-channel weekly marketing report?

A structured cross-channel weekly marketing report includes aggregated GA4 and ad platform data, anomaly detection, period-over-period comparisons, and validated conversion events in a repeatable format.