Coordinate cross-channel marketing analysis into a single weekly priority.
npx skills add https://github.com/Dataslayer-AI/Marketing-skills --skill ds-brain
Please help me install this Agent Skill. Skill: ds-brain Source: https://github.com/Dataslayer-AI/Marketing-skills/tree/main/skills/ds-brain Command: npx skills add https://github.com/Dataslayer-AI/Marketing-skills --skill ds-brain
Marketing teams often struggle to synthesize paid, organic, content, and retention data into a single, actionable view. ds-brain acts as a decision engine that uncovers the hidden connections between channels and translates them into one clear weekly priority.
Connect Dataslayer MCP (or provide manual data) and request a weekly cross-channel intelligence run.
High-intent search queries and answers about installing and using this skill.
Cross-channel marketing synthesis works by launching parallel subagents to analyze paid media, organic search, content performance, and retention signals, then aggregating findings into a structured intelligence output with a concise weekly action plan.
Yes, cross-channel marketing analysis can run with manual data input. While Dataslayer MCP automates data retrieval, providing manual data still allows subagents to process and synthesize cross-channel signals.
Prioritizing cross-channel initiatives requires synthesizing paid, organic, content, and retention data to identify connections. This approach translates aggregated signals into one clear weekly action plan based on business impact.
Cross-channel intelligence identifies connections by running domain-specific subagents for paid media and retention, then aggregating their findings to map how acquisition channels influence user retention patterns.
No, a weekly marketing action plan can be generated without Dataslayer MCP by providing manual data. The system processes inputs through subagents to deliver a structured intelligence output regardless of data source.
Subagents for marketing analysis allow parallel processing of distinct domains like paid media and content performance. This uncovers cross-channel connections that isolated reporting tools miss, yielding a unified strategic view.
Dataslayer-AIAggregate cross-channel marketing data into a structured weekly report.
AvdLeePlan and execute phased product launches across owned, rented, and borrowed channels.
klu-devSelect and run specialized agent teams in parallel with Claude CLI.
kevinlinAggregate cross-channel campaign metrics and generate KPI dashboards.
