market-intelligence

Extract daily financial, economic, and technology facts with ISO8601 timestamps and source URLs.

Updated Jan 19, 2026
One-click install
npx skills add https://github.com/KAFKA2306/yt3 --skill market-intelligence-kafka2306
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: market-intelligence
Source: https://github.com/KAFKA2306/yt3/tree/main/.agent/skills/market-intelligence
Command: npx skills add https://github.com/KAFKA2306/yt3 --skill market-intelligence-kafka2306

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill eliminates narrative bias and time-consuming manual scanning by surfacing the single most impactful, verifiable financial, economic, or technology fact from today's global news so researchers and creators can start from facts rather than assumptions.

Core Features & Use Cases

  • Fact-First Extraction: Prioritizes Delta, Magnitude, and Actors to identify the maximum-impact fact from raw headlines and reporting.
  • Multi-Source, Multi-Lingual Scanning: Ingests top headlines from investing.com, bloomberg.com, reuters.com, nikkei.com, finance.yahoo.com and comparable outlets in EN, ZH, RU, and DE without keyword filters while preserving distinct viewpoints.
  • Strict Output & Citation Protocol: Requires ISO8601 timestamps, one-to-one source URLs, numeric deltas/magnitudes, and explicit actor attribution for each claim, making outputs immediately usable for morning briefs, market research, or content scripting.

Quick Start

Gather today's top market-moving facts by scanning global financial headlines and returning each finding with an ISO8601 timestamp, source URL, actor, delta, and magnitude.

Frequently Asked Questions about market-intelligence

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

FAQPage Schema
How do I extract high-impact financial facts from global news sources?

High-impact financial facts are extracted by scanning global news outlets without keyword filters, prioritizing the maximum-impact delta, magnitude, and actors from raw headlines. This process returns verifiable claims with ISO8601 timestamps and source URLs for immediate research use.

Can I scan multilingual financial news for market briefings without keyword filters?

Yes, you can scan multilingual financial news in EN, ZH, RU, and DE without keyword filters for market briefings. The process ingests top headlines from global outlets to preserve distinct viewpoints while extracting verifiable daily facts.

What is the best way to get verifiable daily market facts with source URLs?

The best way to get verifiable daily market facts is to enforce a strict citation protocol requiring ISO8601 timestamps, one-to-one source URLs, numeric deltas, and actor attribution for each claim. This eliminates narrative bias and ensures outputs are immediately usable.

Does fact extraction from financial headlines work for trading-desk workflows?

Fact extraction from financial headlines works effectively for trading-desk workflows by surfacing the single most impactful verifiable fact from today's global news. It provides structured data with numeric magnitudes and explicit actor identification for quick decision-making.

How do I prepare morning research using extracted economic and technology facts?

Morning research is prepared by extracting concise, verifiable economic and technology facts from global news sources. Each fact includes a timestamp, source URL, and actor attribution, allowing researchers to start from facts rather than narrative assumptions.

What are the limitations of automated fact extraction from international news outlets?

Automated fact extraction from international news outlets is limited to surfacing verifiable facts with numeric deltas and explicit actor attribution, deliberately excluding interpretive language. It focuses on maximum-impact claims, which may omit nuanced context from the original reporting.