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dart

Collect financial data from the DART Open API and generate interactive HTML performance reports.

23|15|Updated May 10, 2026
Search Tags:#data visualization#report generation#investment#financial analysis#stock market#dart
One-click install
npx skills add https://github.com/airoasting/dart --skill dart-airoasting
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: dart
Source: https://github.com/airoasting/dart/tree/main
Command: npx skills add https://github.com/airoasting/dart --skill dart-airoasting

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires requests, pandas, and includes assets (resource) components.

What problem does it solve?

This Skill eliminates the manual effort of gathering and visualizing financial data, allowing users to generate comprehensive, analyst-level reports for any listed company in minutes.

Core Features & Use Cases

  • Automated Financial Reporting: Fetches official DART financial statements and KRX stock data to build interactive HTML reports.
  • Multi-Dimensional Analysis: Includes KPI visualization, growth contribution (waterfall charts), segment analysis, analyst consensus, and AI-simulated investor persona evaluations.
  • Use Case: A user can instantly generate a professional performance review for a company like Kakao or SK Hynix, complete with interactive charts and expert-style commentary, without needing to manually scrape or format data.

Quick Start

Use the dart skill to generate a performance report for the company Kakao.

Frequently Asked Questions about dart

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

FAQPage Schema
How do I generate interactive financial reports from DART API data?▼

Interactive financial reports from DART API data are generated by fetching official statements and KRX stock prices using Python requests and pandas, then visualizing them into HTML performance reports automatically.

Can I use pandas to automate Korean stock market investment analysis?▼

Yes, pandas automates Korean stock market investment analysis by processing DART financial statements and KRX stock data to build multi-dimensional performance reviews complete with KPI visualizations.

What financial visualizations are included in DART performance reports?▼

DART performance reports include KPI visualizations, growth contribution waterfall charts, segment analysis, analyst consensus, and AI-simulated investor persona evaluations for comprehensive financial analysis.

Do I need Python to create analyst-grade financial reports from DART data?▼

Yes, Python with requests and pandas libraries is required to process financial statements, stock prices, and market sentiment data from the DART Open API into interactive HTML reports.

What's the best way to track corporate performance for companies like Kakao?▼

The best way to track corporate performance for companies like Kakao is automating DART data collection to generate professional performance reviews complete with interactive charts and expert-style commentary.

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