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news-narrative-decomposer

Classify AI/tech news items by altitude and output 3–5 structural shifts with evidence.

4|1|Updated Apr 11, 2026
Search Tags:#narrative#analysis#decomposition#structure#news#altitude
One-click install
npx skills add https://github.com/m2ai-portfolio/m2ai-skills-pack --skill news-narrative-decomposer
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: news-narrative-decomposer
Source: https://github.com/m2ai-portfolio/m2ai-skills-pack/tree/main/skills/news-narrative-decomposer
Command: npx skills add https://github.com/m2ai-portfolio/m2ai-skills-pack --skill news-narrative-decomposer

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Analyzing AI/tech news at scale without losing the underlying narrative. This Skill helps teams distill a flood of headlines into a concise, structural story by classifying items by altitude and surfacing the through-line that actually changed.

Core Features & Use Cases

  • Altitude classification for each item (Physics, Infrastructure, Monetization, Business Models, Geopolitics)
  • Pattern extraction across items to identify clusters, cross-altitude drivers, and absence signals
  • Output-ready structural shifts and a concise through-line for decision-making
  • Use Case: generate monthly briefs for product, strategy, or research teams that need a clear picture of what shifted and why

Quick Start

Input a batch of AI/tech news items and let it output the structured narrative with 3–5 shifts.

Frequently Asked Questions about news-narrative-decomposer

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

FAQPage Schema
How do I extract structural shifts from a batch of AI news?▼

Extracting structural shifts from AI news requires batching monthly or weekly news items to classify them by altitude and identify 3–5 underlying shifts with evidence and implications for builders.

What is altitude classification in tech news analysis?▼

Altitude classification in tech news analysis sorts items into layers like Physics, Infrastructure, Monetization, Business Models, and Geopolitics to reveal cross-altitude drivers and absence signals.

How do I generate a concise narrative through-line from multiple news headlines?▼

Generating a concise narrative through-line from multiple headlines involves pattern extraction across batched news items to identify clusters and surface the structural story that actually changed.

Can I use this narrative decomposition approach for weekly strategy briefs?▼

Yes, you can use narrative decomposition for weekly strategy briefs by processing batches of news items to output a structured, audit-ready narrative with shifts suitable for execution planning.

What is the best way to distill a flood of AI headlines into a structural story?▼

The best way to distill a flood of AI headlines into a structural story is applying altitude classification and pattern extraction to surface 3-5 structural shifts with evidence for decision-making.

Does this news analysis approach enforce guardrails for data handling?▼

Yes, this news analysis approach enforces guardrails for data handling to produce a structured, audit-ready narrative suitable for strategy and execution planning.

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