ai-research-workflow

Collect, summarize, and analyze AI industry news into GitHub issues.

1|Updated Jan 11, 2026
One-click install
npx skills add https://github.com/YH-05/finance --skill ai-research-workflow
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ai-research-workflow
Source: https://github.com/YH-05/finance/tree/main/.claude/skills/ai-research-workflow
Command: npx skills add https://github.com/YH-05/finance --skill ai-research-workflow

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill automates the process of gathering and analyzing information on companies within the AI value chain, providing investors with actionable insights.

Core Features & Use Cases

  • Automated Data Collection: Gathers news and releases from 77 AI-focused companies across 10 categories using a tiered scraping approach (RSS, general scraper, custom adapters).
  • AI-Powered Summarization: Generates investment-focused summaries (Overview, Technical Significance, Market Impact, Investment Implications) for each piece of content.
  • GitHub Integration: Automatically creates and updates GitHub Issues and Projects with analyzed data, including impact levels and relevant tickers.
  • Use Case: An investment analyst can use this Skill to stay updated on the latest developments in AI LLMs, GPU chips, and data centers, receiving concise, investment-relevant summaries and alerts without manual research.

Quick Start

Run the ai-research-workflow skill to collect and analyze AI company news from the past 7 days.

Frequently Asked Questions about ai-research-workflow

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

FAQPage Schema
How do I automate AI investment news collection for tracking industry developments?

Automating AI investment news collection involves using a tiered scraping strategy across RSS feeds, general scrapers, and custom adapters to gather data from 77 AI-focused companies. The process generates investment-oriented summaries and tracks insights via GitHub Issues.

Can I use GitHub Issues and Projects to track automated AI company news analysis?

Yes, you can use GitHub Issues and Projects to track automated AI company news analysis. The workflow integrates with the GitHub API to automatically create and update issues with analyzed data, including assigned impact levels and relevant stock tickers.

How does AI summarization work for investment-focused market analysis?

AI summarization for investment-focused market analysis works by applying natural language processing to scraped content. It generates structured summaries highlighting technical significance, market impact, and investment implications to help analysts quickly assess actionable insights.

What is the best way to monitor AI value chain companies across different categories?

The best way to monitor AI value chain companies is to automate data collection across 10 distinct industry categories. A tiered scraping approach processes diverse sources to deliver concise, investment-relevant alerts without requiring manual research.

Do I need to configure custom web scrapers to collect AI industry releases?

You do not always need to configure custom web scrapers to collect AI industry releases. The workflow uses a tiered scraping strategy that prioritizes RSS feeds and general scrapers before falling back to custom adapters for specialized sources.