analyze-silver-miner-metal-ratio
✓以「銀礦股價格 ÷ 白銀價格」的相對比率衡量礦業股板塊相對於金屬本體的估值區間（偏貴/偏便宜），並用歷史分位數與類比區間推導「底部/頂部」訊號與情境推演。
Installation
SKILL.md
| ≤ 20% | bottom (底部) | 礦業股相對白銀歷史上很便宜 | | 20-40% | low (偏低) | 礦業股相對估值偏低 | | 40-60% | neutral (中性) | 歷史中位區間 | | 60-80% | high (偏高) | 礦業股相對估值偏高 | | ≥ 80% | top (頂部) | 礦業股相對白銀歷史上很貴 |
| 1, "快速", "quick", "分析" | 執行 python scripts/ratioanalyzer.py --quick | | 2, "完整", "full", "自訂" | 閱讀 workflows/analyze.md 並執行 | | 3, "圖表", "chart", "視覺化" | 執行 python scripts/ratioplotter.py --quick --output-dir output/ | | 4, "歷史", "驗證", "backtest" | 閱讀 workflows/analyze.md 並聚焦歷史類比 | | 5, "情境", "scenario", "推演" | 閱讀 workflows/analyze.md 並聚焦情境推演 |
| 6, "學習", "方法論", "why" | 閱讀 references/methodology.md | | 提供參數 (如礦業股/金屬代理) | 閱讀 workflows/analyze.md 並使用參數執行 |
以「銀礦股價格 ÷ 白銀價格」的相對比率衡量礦業股板塊相對於金屬本體的估值區間（偏貴/偏便宜），並用歷史分位數與類比區間推導「底部/頂部」訊號與情境推演。 Source: fatfingererr/macro-skills.
Facts (cite-ready)
Stable fields and commands for AI/search citations.
- Install command
npx skills add https://github.com/fatfingererr/macro-skills --skill analyze-silver-miner-metal-ratio- Category
- </>Dev Tools
- Verified
- ✓
- First Seen
- 2026-02-01
- Updated
- 2026-02-18
Quick answers
What is analyze-silver-miner-metal-ratio?
以「銀礦股價格 ÷ 白銀價格」的相對比率衡量礦業股板塊相對於金屬本體的估值區間（偏貴/偏便宜），並用歷史分位數與類比區間推導「底部/頂部」訊號與情境推演。 Source: fatfingererr/macro-skills.
How do I install analyze-silver-miner-metal-ratio?
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/fatfingererr/macro-skills --skill analyze-silver-miner-metal-ratio Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor
Where is the source repository?
https://github.com/fatfingererr/macro-skills
Details
- Category
- </>Dev Tools
- Source
- skills.sh
- First Seen
- 2026-02-01