learning-extractor

Extract evidence-based marketing patterns into structured new_kb_entries JSON.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/pr3t3l/openclaw-config --skill learning-extractor
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: learning-extractor
Source: https://github.com/pr3t3l/openclaw-config/tree/main/marketing-system/skills/learning-extractor
Command: npx skills add https://github.com/pr3t3l/openclaw-config --skill learning-extractor

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Extracts patterns from weekly marketing results and appends them to the knowledge base, reducing manual synthesis and keeping the KB up to date. This Skill focuses on evidence-based insights and avoids overwriting existing entries.

Core Features & Use Cases

  • Pattern extraction: derives strategic insights from diagnosis and metrics, not just surface-level numbers.
  • KB integration: appends new findings to knowledge_base_marketing.json without duplicating or overwriting.
  • Use Case: when a week's results show a recurring theme, convert it into a tentative concept for the KB with clear evidence.

Quick Start

Provide this week's diagnosis.json, calculated_metrics.json, content_used, and knowledge_base_marketing.json to the extractor to generate new patterns.

Frequently Asked Questions about learning-extractor

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

FAQPage Schema
How do I extract marketing patterns from weekly campaign results?

To extract marketing patterns, you provide weekly diagnosis.json, calculated_metrics.json, and content used to the extractor. It derives evidence-based strategic insights and outputs structured JSON entries ready for your knowledge base.

Can I append new marketing patterns without duplicating existing knowledge base entries?

You can append new patterns without duplicating existing entries because the extractor checks the current knowledge_base_marketing.json. It avoids overwriting existing patterns and only appends newly identified evidence-based findings.

Do I need calculated_metrics and diagnosis files to extract marketing patterns?

You need calculated_metrics.json and diagnosis.json files to extract marketing patterns. The extractor requires these inputs alongside content used and your existing knowledge base to generate structured new_kb_entries JSON for appends.

What are the limitations of automated pattern extraction from campaign metrics?

A limitation of automated pattern extraction is that all newly generated findings must retain a tentative status. The extractor requires evidence-based claims from diagnosis runs and does not overwrite existing validated patterns in the knowledge base.