recall

Query a brand's compound intelligence graph for relevant marketing learnings.

726|123|Updated Feb 11, 2026

Search Tags:#marketing #recall #insights #learnings #campaign-planning #intelligence-graph

Ready to run

npx skills add https://github.com/indranilbanerjee/digital-marketing-pro --skill recall-indranilbanerjee

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: recall
Source: https://github.com/indranilbanerjee/digital-marketing-pro/tree/main/skills/recall
Command: npx skills add https://github.com/indranilbanerjee/digital-marketing-pro --skill recall-indranilbanerjee

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Retrieve and apply relevant marketing learnings from the brand's compound intelligence graph to inform decisions and shorten reasoning cycles.

Core Features & Use Cases

Contextual recall: Pulls insights based on channel, audience, objective, or campaign context to guide strategy and execution.
Validated learning prioritization: Ranks insights by confidence and recency to surface the most trustworthy guidance.
Actionable playbook generation: Produces a structured plan with quick wins, test ideas, and watch-outs for campaigns.

Quick Start

Provide a context description (e.g., channel, audience, objective, campaign type) and ask for the top 3 learnings to inform the plan.

Frequently Asked Questions about recall

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

FAQPage Schema

How do I retrieve past campaign learnings to inform a new marketing strategy?▼

Retrieve past campaign learnings by querying your compound intelligence graph using channel, audience, objective, or campaign context to return a structured playbook of quick wins, test ideas, and watch-outs.

What is the best way to surface actionable marketing insights from historical campaign data?▼

Surface actionable marketing insights by ranking historical data using a composite score of relevance, confidence, and recency, then grouping the validated results into themes like Content & Messaging or Channel Tactics.

How do I generate a structured playbook from my brand's intelligence graph for campaign planning?▼

Generate a structured playbook by providing a campaign context description to query the intelligence graph, which then outputs a prioritized plan with quick wins, test ideas, watch-outs, and overall intelligence metrics.

Can I filter marketing learnings by specific audience behavior and channel tactics?▼

Yes, you can filter marketing learnings by providing audience behavior and channel tactics as context, which the system uses to pull relevant insights and group them into corresponding behavioral and tactical themes.

How does the system prioritize which marketing insights to show for a specific campaign context?▼

The system prioritizes marketing insights by calculating a composite score based on relevance to the provided context, the confidence level of the learning, and the recency of the data to surface the most trustworthy guidance.

Do I need a specific campaign objective to pull relevant learnings from the intelligence graph?▼

No, you can query the intelligence graph using any combination of channel, audience, campaign type, or objective context, allowing you to pull relevant learnings even when only partial campaign parameters are defined.