industry-funnel

Screens an industry from full market scan down to three value-investing stock picks.

16.4k|2.5k|Updated Apr 7, 2026
One-click install
npx skills add https://github.com/xbtlin/ai-berkshire --skill industry-funnel-xbtlin
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: industry-funnel
Source: https://github.com/xbtlin/ai-berkshire/tree/main/codex-skills/industry-funnel
Command: npx skills add https://github.com/xbtlin/ai-berkshire --skill industry-funnel-xbtlin

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? When researching an industry like AI compute or innovative drugs, investors struggle to cover the whole market without missing candidates and to filter out story stocks with a consistent standard. This Skill runs a four-layer funnel that narrows 30-60 listed companies down to 3 final picks with documented elimination reasons at every stage. ## Core Features & Use Cases - Full-Market Scan: Builds a 30-60 company pool from trading activity, gainers, and market-cap leaders across A-shares, Hong Kong, US, and international markets, including pre-IPO candidates. - Five Hard-Metric Filter: Applies PE, ROE, operating cash flow, debt ratio, and moat rating criteria to cut the pool to 10 or fewer companies, with pass/fail tables and rejection reasons. - Four-Master Deep Analysis: Produces 800-1200 word analyses of the final 3 picks from Duan Yongping, Buffett, Munger, and Li Lu perspectives, ending with position sizing and buy-zone recommendations. - Use Case: Ask to funnel-screen the robotics industry and receive a report at reports/robotics-funnel-YYYYMMDD.md with the full scan table, elimination records, final 3-stock portfolio allocation, ETF alternatives, and a data audit checklist. ## Quick Start Run the industry funnel on the AI compute sector and produce a value-investing screening report with the final three stock picks.

Frequently Asked Questions about industry-funnel

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

FAQPage Schema
How do I screen an industry for value investing stocks?

Run the funnel workflow on a target industry: it scans 30-60 companies from activity, gainers, and market-cap lists, filters them with five hard metrics (PE, ROE, cash flow, debt ratio, moat), then deep-analyzes the final three picks.

What is the difference between industry-funnel and industry-research?

industry-research maps the industry chain structure and segment landscape, while industry-funnel focuses on stock selection, narrowing the full market to three final picks. They complement each other: map the chain first, then select targets.

Does the screening cover A-shares, Hong Kong, and US stocks?

Yes, the full-market scan explicitly covers A-shares, Hong Kong, US, and other international markets such as Japan, Korea, Taiwan, and Europe. It also lists pre-IPO candidates separately with latest valuations and expected listing windows.

What financial criteria are used to filter companies?

Five hard metrics: reasonable PE (or PEG under 1.5 for high growth), ROE above 15% or improving, operating cash flow above 70% of net profit, debt ratio under 60%, and a moat rating of three stars or higher.

How is report accuracy verified before publishing?

After writing the report, run tools/report_audit.py to extract a 15% random sample of data points, re-verify each against reliable sources, then generate a pass/fail verdict. Failed reports must be corrected and re-audited.