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.