Agent skill

analyze-copper-inventory-rebuild-signal

用「庫存快速回補」作為短期警戒訊號,評估銅價是否接近短線高點,同時給出一個「長期是否偏便宜」的歷史分位數判讀。

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill analyze-copper-inventory-rebuild-signal --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 8 KB
Bundled scripts: none
Path: skills/analysis/analyze-copper-inventory-rebuild-signal/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

<essential_principles> <principle name="dual_signal_framework"> **雙層訊號框架(Dual Signal Framework)** 本技能將「肉眼看圖」轉換為可量化、可自動更新的雙層訊號系統: | 層次 | 問題 | 核心指標 | 決策輸出 | |------|------|----------|----------| | **短線** | 是否「有點超前」? | SHFE 回補速度 z-score + 庫存水位 | CAUTION / NEUTRAL / SUPPORTIVE | | **長線** | 是否「仍偏便宜」? | 銅價歷史分位數(10 年) | CHEAP / FAIR / RICH | **關鍵洞察**:SHFE 庫存快速回補 + 水位偏高 → 常常貼近價格局部高點。 </principle> <principle name="data_source"> **數據來源(三類數據)** 使用 Chrome CDP **全自動**抓取 Highcharts 圖表數據,共需三類數據: | 數據 | 來源 | URL | |------|------|-----| | SHFE 銅庫存 | MacroMicro (CDP) | https://en.macromicro.me/series/8743/copper-shfe-warehouse-stock | | COMEX 銅庫存 | MacroMicro (CDP) | https://www.macromicro.me/series/8742/copper-comex-warehouse-stock | | 銅期貨價格 | Yahoo Finance | `HG=F`(COMEX 銅期貨連續近月) | **口徑**:庫存為可交割銅庫存(噸)、價格為收盤價(USD/lb) </principle> <principle name="rebuild_speed_zscore"> **回補速度 Z-Score 計算** 將主觀「回補很快」轉化為客觀可比較的標準化指標: ``` rebuild_W = inv_t - inv_{t-W} (W = 4 週) z_score = (rebuild_W - μ) / σ (μ, σ 為 3 年滾動) ``` - z-score > 1.5:回補速度「異常快」 - z-score > 2.0:回補速度「極端快」 - z-score < -1.5:去庫存速度「異常快」 </principle> </essential_principles> <objective> 分析銅庫存回補訊號與價格的歷史關係,輸出: 1. **短期訊號**:當前回補速度與庫存水位是否觸發「謹慎」訊號 2. **長期判讀**:

What's inside
Ships with 1 file
  • metadata.json
Commands it runs
pip install requests websocket-client pandas numpy yfinance matplotlib
cd skills/analyze-copper-inventory-rebuild-signal/scripts
python fetch_copper_data.py
python inventory_signal_analyzer.py
python visualize_inventory_signal.py
cd scripts
More from claude-skill-registry
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About this skill
What does the analyze-copper-inventory-rebuild-signal skill do?

用「庫存快速回補」作為短期警戒訊號,評估銅價是否接近短線高點,同時給出一個「長期是否偏便宜」的歷史分位數判讀。

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill analyze-copper-inventory-rebuild-signal --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going