ask-q1-industry-prospect

Analyze a stock's industry prospect using SW classifications, reports, and policies.

2|1|Updated Apr 17, 2026
One-click install
npx skills add https://github.com/shadowinlife/nano_quant_skills --skill ask-q1-industry-prospect
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ask-q1-industry-prospect
Source: https://github.com/shadowinlife/nano_quant_skills/tree/main/2min-company-analysis/ask-q1-industry-prospect
Command: npx skills add https://github.com/shadowinlife/nano_quant_skills --skill ask-q1-industry-prospect

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This skill enables independent evaluation of a stock's industry prospects by integrating company-specific classification (SW L1/L2/L3), external industry viewpoints, and regulatory policy signals to support investment decisions.

Core Features & Use Cases

  • Independent Q1 industry-prospect evaluation for a given stock using DuckDB-derived SW classification, external industry reports, and regulatory policies.
  • Evidence-driven rating workflow that combines factual content with qualitative viewpoints to derive a rating and justification, with support for partial or insufficient-evidence states.
  • Reusable as a standalone skill or as part of the eight-question orchestration, sharing harness and evidence sources with other qN skills.

Quick Start

Provide a stock code (and optional as-of date) to run the Q1 industry prospect analysis and return the rating and supporting evidence.

Frequently Asked Questions about ask-q1-industry-prospect

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

FAQPage Schema
How do I evaluate stock industry prospects using regulatory policies and external reports?

To evaluate stock industry prospects, the skill aggregates internal SW L1/L2/L3 classifications, external industry reports, and regulatory policies, mapping evidence to ratings using sentiment signals and report counts.

What is the minimum evidence required to generate a stock industry prospect rating?

Generating an industry prospect rating requires a DuckDB factual entry for the stock's SW classification plus at least one external industry report or regulatory policy to ensure evidence-driven validation.

How do I run an independent industry prospect analysis for a specific stock code?

You can run an independent industry prospect analysis by providing a stock code and an optional as-of date to return the rating, supporting evidence, and justification derived from DuckDB and policy data.

Does the industry prospect analysis support partial or insufficient evidence states?

The industry prospect analysis supports partial or insufficient-evidence states, allowing the rating workflow to return justifications even when the required DuckDB entries or report and policy counts are incomplete.

Can I integrate DuckDB stock classification with industry policy signals for investment decisions?

You can integrate DuckDB-derived SW L1/L2/L3 stock classifications with industry policy signals and external reports to derive evidence-driven ratings that support quantitative investment decisions.