analyze-stock

Coordinate five subagents to collect price, news, industry, market, and corporate data into an HTML report.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/jssfy/k-skills --skill analyze-stock-jssfy
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: analyze-stock
Source: https://github.com/jssfy/k-skills/tree/main/skills/finance/analyze-stock
Command: npx skills add https://github.com/jssfy/k-skills --skill analyze-stock-jssfy

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires akshare, pandas, and includes scripts (resource) components.

What problem does it solve?

This Skill enables quick, in-depth stock analysis by running parallel data-collection agents to gather price, news, industry, market, and official company information, then synthesizes cross-cut analyses into a standardized HTML report.

Core Features & Use Cases

  • Parallel data collection: gather price, news, industry comparison, market environment, and official announcements concurrently.
  • Cross-domain analysis: immediate causal attribution and trend forecasting on a unified report.
  • Use Case: A equity analyst can trigger an analysis for NVDA to obtain a comprehensive 7-day view plus today’s metrics in a single report.

Quick Start

Submit a stock name or ticker to activate the 5-agent workflow and produce the HTML report.

Frequently Asked Questions about analyze-stock

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

FAQPage Schema
How do I generate a comprehensive stock analysis report across multiple markets?

To generate a stock analysis report, submit a stock ticker or company name to trigger parallel multi-agent data collection across price, news, industry, market, and corporate data. It supports A-share, HK, and US markets and outputs a standardized HTML report.

Can I analyze a stock using just the company name instead of a ticker?

Yes, you can analyze a stock using a company name instead of a ticker. The multi-agent workflow accepts either input format to collect financial data and produce a comprehensive HTML analysis report for supported markets.

What is the best way to collect price and industry data concurrently for equity analysis?

The best way to collect data concurrently is using a parallel multi-agent workflow. Five subagents gather price, news, industry, market, and corporate data simultaneously, synthesizing the results into a unified report for immediate trend forecasting.

Does this stock analysis approach provide investment advice?

No, this stock analysis approach does not provide investment advice. It strictly collects factual market data and synthesizes cross-domain causal analyses into an HTML report to support your own equity research.

Do I need web search utilities to perform cross-domain market analysis?

Yes, web search and fetch utilities are required to perform cross-domain market analysis. The subagents rely on these utilities to gather real-time news, official announcements, and industry comparison data for the final report.

What limitations exist when analyzing stocks with pandas and akshare?

A limitation is that the analysis does not yield investment advice, and its scope is constrained to A-share, HK, and US markets. The dependencies handle data structuring, but the output is strictly an informational HTML report.