sector-company-discovery

Screen and rank public companies within a defined sector using weighted scores.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/realanthonyc/Research-Reports --skill sector-company-discovery
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: sector-company-discovery
Source: https://github.com/realanthonyc/Research-Reports/tree/main/skills/sector-company-discovery
Command: npx skills add https://github.com/realanthonyc/Research-Reports --skill sector-company-discovery

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

Rapidly narrows a broad investment universe into a small, decision-useful shortlist by combining primary-source checks, narrative intelligence, financial reading, and valuation-aware filtering so analysts avoid time-consuming, unfocused research.

Core Features & Use Cases

  • Structured screening: define sector, geography, market-cap, and practical filters to build a comparable candidate set (typically 5–12 names).
  • Evidence-first comparison: prioritize the industry-specific dimensions that matter, read filings and recent disclosures, and separate facts, assumptions, and judgments.
  • Deterministic support: optionally run the included ranking script to aggregate weighted scores and produce a ranked shortlist for handoff to deeper equity research.
  • Use case: an analyst needs a 1-3 name shortlist of defensive mid-cap industrials for further valuation work ahead of a sector note.

Quick Start

Use sector-company-discovery to screen the US mid-cap industrials for resilience and valuation, return a ranked shortlist of the top three names, and list the primary next steps for deeper research.

Frequently Asked Questions about sector-company-discovery

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

FAQPage Schema
How do I screen public companies to build a shortlist for equity research?

Screen public companies by defining sector, geography, and market-cap filters to compare business quality, valuation, and narrative drivers, producing a ranked shortlist for deeper equity research.

What is the best way to rank a small candidate set of public companies by resilience?

Rank a small candidate set of 5-12 public companies by applying practical filters and a deterministic ranking script to aggregate weighted scores for resilience and business quality.

Do I need access to financial filings to perform sector discovery and narrative analysis?

Yes, sector discovery requires access to company financial filings and recent public disclosures to perform primary-source checks and separate facts from assumptions during narrative analysis.

Can I use this approach to compare mid-cap industrials for a sector note?

Yes, you can screen mid-cap industrials by applying resilience and valuation-aware filters to generate a decision-useful shortlist of 1-3 names ahead of a sector note.

How does narrative analysis fit into the company screening process?

Narrative analysis fits into company screening by evaluating recent public disclosures to identify narrative drivers, prioritizing industry-specific dimensions while separating facts, assumptions, and judgments.

What are the limitations of using deterministic ranking scripts for company shortlisting?

Deterministic ranking scripts are limited to small candidate sets of 5-12 companies and serve as an optional support tool to aggregate weighted scores, requiring primary-source checks for final validation.