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.