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.