intelligence-seed

Mine a niche knowledge base to generate four proposed-diff markdown reports.

Updated Apr 18, 2026
One-click install
npx skills add https://github.com/00PZ/oopz-inc --skill intelligence-seed
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: intelligence-seed
Source: https://github.com/00PZ/oopz-inc/tree/main/companies/shoshin/skills/intelligence-seed
Command: npx skills add https://github.com/00PZ/oopz-inc --skill intelligence-seed

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Mine a niche's knowledge base to bootstrap hooks, voice calibration, audience patterns, and engagement baselines without cross-pollinating across niches.

Core Features & Use Cases

  • Top hook pattern extraction and template generation from niche knowledge sources.
  • Voice calibration samples and tone templates aligned to the niche's audience.
  • Audience-pattern and engagement baselines derived from collected sources, with outputs for human review.
  • Output organization into isolated diffs under .evidence/analysis/<niche-slug>/YYYY-MM-DD/ to support governance.

Quick Start

Run the intelligence-seed on the target niche's knowledge base to generate four proposed-diff templates.

Frequently Asked Questions about intelligence-seed

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

FAQPage Schema
How do I extract hook patterns and voice calibration from a niche knowledge base?

You extract hook patterns and voice calibration by mining a specific niche's knowledge repository to generate proposed-diff markdown reports containing top hook templates, tone samples, and audience patterns for human review.

What is niche pattern mining and when do I need engagement baselines?

Niche pattern mining is the process of analyzing a specific knowledge repository to derive audience patterns and engagement baselines. You need it when bootstrapping context-sensitive AI hooks without cross-pollinating data across different niches.

How do I generate engagement baselines for a specific niche without cross-pollinating data?

You generate isolated engagement baselines by running a pattern mining process that enforces strict input boundaries, reading only the specified niche directory while outputting proposed diffs to an isolated analysis folder for governance.

Can I use pattern mining to analyze multiple niche knowledge bases at the same time?

No, the pattern mining process enforces strict input boundaries by reading only the specified niche directory. This prevents cross-pollination across niches and ensures outputs remain isolated under dedicated analysis folders for governance.

What's the best way to organize extracted audience patterns and hook templates for analyst review?

The best way to organize extracted audience patterns is outputting them as four proposed-diff markdown reports into isolated directories under .evidence/analysis/<niche-slug>/YYYY-MM-DD/ to support governance and structured human review.