One-click install
npx skills add https://github.com/ajayatwal1105-emerson/digital-marketing-pro --skill learn-ajayatwal1105-emerson
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: learn
Source: https://github.com/ajayatwal1105-emerson/digital-marketing-pro/tree/main/skills/learn
Command: npx skills add https://github.com/ajayatwal1105-emerson/digital-marketing-pro --skill learn-ajayatwal1105-emerson

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill prevents valuable marketing insights from getting lost by converting one-off observations into a structured, reusable learning record tied to specific brand context and conditions.

Core Features & Use Cases

  • Structured learning capture: Stores the insight, scoped conditions (channel, audience, objective, campaign type), confidence score, source agent, timestamp, and optional supporting evidence.
  • Deduplication and confidence management: Detects overlapping prior learnings, updates confidence when supported, or surfaces contradictions with side-by-side comparison for decision-making.
  • Intelligence graph indexing and distribution: Saves the learning into the intelligence graph for future retrieval and routes it to relevant specialist agents (e.g., email, paid media, content, strategy) based on context tags.
  • Use case: After analyzing Q4 email performance, record that “subject lines with numbers” outperform for your developer audience, including the confidence and what evidence you observed, so it can inform future campaigns and recommendations.

Quick Start

Use /digital-marketing-pro:learn to save an email insight for your active brand by providing the learning statement, the channel/audience/objective/campaign-type conditions, and a confidence score (default 0.5 if you do not specify one).

Frequently Asked Questions about learn

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

FAQPage Schema
How do I save marketing learnings into an intelligence graph so insights persist across campaigns?

You can capture marketing learnings into an intelligence graph by structuring insights with scoped conditions like channel, audience segment, objective, and campaign type. This stores the validated observation with a confidence score and supporting evidence for future retrieval.

What is the best way to deduplicate overlapping marketing learnings and manage confidence scores?

Deduplicating overlapping marketing learnings involves querying related prior records, updating the confidence score when supported by new evidence, or surfacing contradictions with side-by-side comparison to resolve conflicting campaign observations.

How do I record campaign analytics findings tied to specific audience segments and channels?

Record campaign analytics findings by providing the learning statement, scoped conditions (channel, audience, objective, campaign type), and a confidence score. This normalizes taxonomy tags and persists the structured record with optional supporting evidence.

Can I route captured marketing intelligence to relevant specialist agents automatically?

Captured marketing intelligence can be routed to relevant specialist agents like email, paid media, content, or strategy. The distribution is driven by context tags applied during the learning capture process within the intelligence graph.

Does saving marketing insights require loading active brand context first?

Saving marketing insights requires loading active brand context and normalizing taxonomy tags first. This ensures the structured learning record is properly scoped and indexed within the brand intelligence graph before persistence.

What happens when new experimental results contradict prior strategic patterns in the intelligence graph?

When new experimental results contradict prior strategic patterns, the system surfaces the contradictions with a side-by-side comparison. This allows you to review the conflicting confidence scores and supporting evidence to make informed decisions.