insight-miner

Generate eight modular insights from cross-disciplinary knowledge into actionable thinking frameworks.

3|Updated Jan 3, 2026

Search Tags:#insight #knowledge-management #cross-domain #prompting #structured-output #ai-writing

Ready to run

npx skills add https://github.com/unix2dos/skills --skill insight-miner

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: insight-miner
Source: https://github.com/unix2dos/skills/tree/main/insight-miner
Command: npx skills add https://github.com/unix2dos/skills --skill insight-miner

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

The Insight Miner helps you extract a single, transferable knowledge point from across domains and rapidly convert it into a practical thinking framework with clear, actionable principles for daily use.

Core Features & Use Cases

Cross-domain extraction: identify a knowledge singularity from any field.
Framework derivation: map the insight to a simple underlying model and actionable steps.
Daily productivity: generate eight modular insights (1500-2500 words total) to fuel planning and reflection.

Quick Start

Ask me for an insight today with @insight-miner or 'give me an insight' to generate eight modular insights.

Frequently Asked Questions about insight-miner

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

FAQPage Schema

How do I extract actionable principles from cross-domain knowledge?▼

Cross-domain knowledge extraction identifies a transferable knowledge singularity and maps it to a practical thinking framework with clear, actionable steps. You specify a target domain or request random generation to derive these modular principles.

What is cross-domain modeling for daily insight generation?▼

Cross-domain modeling translates isolated concepts from different fields into structured thinking frameworks. It generates eight modular insights totaling 1500-2500 words, converting abstract knowledge into principles for daily productivity and reflection.

Can I target a specific field when generating structured insights?▼

Yes, structured insight generation supports domain targeting. You can request insights from a specific field or ask for random cross-disciplinary extraction, allowing you to control the scope of the knowledge singularity being modeled.

How many words are in the structured output for AI-generated insights?▼

The structured output for AI-generated insights totals 1500-2500 words across eight modular sections. Each module contains 150-300 words with titled headers, ensuring actionable principles and thinking frameworks are clearly formatted.

Does the insight generation process keep track of previous outputs?▼

Yes, the insight generation process includes history and statistics views. You can review previously generated modular insights and track extraction statistics to monitor your cross-domain knowledge framework derivation over time.