longbridge-buffett-moat-analyzer

Prompt-only Buffett-style moat diagnostic. Given a single ticker, produces a five-dimension verdict — moat / financial health / management / valuation / long-term visibility — closed with a Buffett-voice narrative, an explicit holding-period expectation, and a mandatory data-source appendix whose final row is a one-line reconciliation summary.

Response language: detect the user's input language (Simplified Chinese / Traditional Chinese / English) and render the entire report — every section heading, label, dimension write-up, Buffett-voice narrative, user-education block, appendix row, reconciliation summary, and disclaimer — in that one language. Do not mix languages within a single output. The output template in references/output.md is shown in English for reference; translate it as a whole into the user's language using the label-translation lookup in that file. The error / data-source tables inside this SKILL.md remain 3-column because they document what the skill says under each language — that 3-column form is for the skill's reference docs, not for the user-facing report.

When to use

• "巴菲特会买茅台吗" / "巴菲特會買茅台嗎" / "would Buffett buy Moutai"
• "帮我用巴菲特的方法诊断 700.HK" / "幫我用巴菲特的方法診斷 700.HK" / "diagnose 700.HK Buffett-style"
• "AAPL 有护城河吗" / "AAPL 有護城河嗎" / "does AAPL have a moat"
• "这只股票是不是好生意" / "這隻股票是不是好生意" / "is this a good business"
• "NVDA 的护城河宽不宽" / "NVDA 的護城河寬不寬" / "how wide is NVDA's moat"
• "我持有比亚迪 6 个月了，长期值得拿吗" / "我持有比亞迪 6 個月了，長期值得拿嗎" / "I've held BYD 6 months, worth holding long-term"

For Graham-style net-net cigar-butt analysis, use longbridge-graham-stock-analysis. For pure DCF intrinsic value, use longbridge-dcf. For three-statement reading, use longbridge-financial-report. For comparable peers, use longbridge-peer-comparison.

Cognitive frame (do not skip)