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vnstock-solution-architect

Map goals to Vibe Coding Routes and apply Vnstock layer patterns.

Updated Apr 25, 2026
Search Tags:#python#dashboard#finance#data-analysis#vnstock#vnstock_data
One-click install
npx skills add https://github.com/quangkmhd/Vietstock_Agent --skill vnstock-solution-architect
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: vnstock-solution-architect
Source: https://github.com/quangkmhd/Vietstock_Agent/tree/main/.agents/skills/vnstock-solution-architect
Command: npx skills add https://github.com/quangkmhd/Vietstock_Agent --skill vnstock-solution-architect

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This skill provides a guided framework to transform domain experts into productive Vnstock-powered Python developers by outlining patterns, layers, and best practices for building scripts, notebooks, dashboards, and apps across the Vnstock ecosystem.

Core Features & Use Cases

  • Six pattern guide: Automation Script, Ad-hoc Analysis, Interactive Dashboard, Desktop App/API, Web App/Extension, and Open Source, with recommended libraries and UI patterns.
  • Unified UI discipline: If vnstock_data >= 3.0.0, strictly apply the 7 Layer architecture (Market, Fundamental, Reference, Macro, Insights, Analytics, News) and encourage show_api() for discovery.
  • Environment-aware guidance: Prioritize sponsored vnstock_data when available; propose patterns and safety checks for production-grade tools.
  • Operational guidance: Provides templates and prompts to mentor users in building end-to-end tools with comments explaining decisions.

Quick Start

Choose your target route (Automation Script, Ad-hoc Analysis, Interactive Dashboard, Desktop App / API, Web App / Extension, or Open Source) and build a minimal Vnstock-based solution.

Frequently Asked Questions about vnstock-solution-architect

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

FAQPage Schema
How do I build a Python dashboard using Vnstock data?▼

To build a Python dashboard with Vnstock data, select the Interactive Dashboard route, apply the 7 Layer architecture if vnstock_data is version 3.0.0 or higher, and use the provided templates to prototype your UI patterns safely.

What is the best way to structure an automation script for finance data analysis?▼

The best way to structure an automation script for finance data analysis is to map your goals to the Automation Script route, which provides recommended Python libraries and safety checks for production-grade Vnstock tools.

Does this framework support building web apps and APIs with Vnstock?▼

Yes, this framework supports building web apps and APIs by mapping your goals to the Desktop App/API or Web App/Extension routes, providing specific UI patterns and library recommendations for end-to-end Vnstock development.

Can I use the 7 Layer architecture with older versions of vnstock_data?▼

No, the 7 Layer architecture is strictly applied only when your environment check confirms vnstock_data is version 3.0.0 or higher, ensuring compatibility with the Market, Fundamental, and Macro layers.

How do I discover available APIs when prototyping Vnstock Python tools?▼

To discover available APIs when prototyping Vnstock Python tools, use the built-in show_api() and show_doc() discovery commands provided within the framework to explore the 7 Layer architecture safely.

Why do I need to prioritize sponsored vnstock_data packages?▼

You need to prioritize sponsored vnstock_data packages because the framework uses environment-aware guidance to propose production-grade patterns and safety checks, ensuring stable and supported Vnstock ecosystem development.

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