Agent skill

analyze-high-unemployment-high-gdp-growth-fiscal-deficit-scenarios

在「失業率走高/勞動市場轉弱」但「名目或實質 GDP 仍維持高位(或仍在成長)」的情境下,依據歷史關聯估算美國財政赤字占 GDP(Deficit/GDP)可能擴張的區間,並生成對長天期美債(長久期 UST)供給/利率風險的情境解讀。支援視覺化圖表輸出。

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill analyze-high-unemployment-high-gdp-growth-fiscal-deficit-scenari --agent claude-code

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

Facts
Files in the skill folder: 2
SKILL.md size: 11 KB
Bundled scripts: none
Path: skills/analysis/analyze-high-unemployment-high-gdp-growth-fiscal-deficit-scenari/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="labor_gdp_divergence"> **勞動-GDP 背離核心邏輯** 本技能聚焦於一個特殊的宏觀情境:**勞動市場明顯轉弱,但 GDP 仍處高位**。這種組合歷史上常伴隨: - 財政赤字/GDP 的階躍式上升(自動穩定器 + 反週期支出) - 長天期國債供給壓力增加 - 期限溢酬的潛在上升 關鍵洞察:「30 年歷史顯示,當 jobs 夠軟,赤字/GDP 會從 6–7% 跳到 12–17%」 </principle> <principle name="slack_metric"> **勞動鬆緊度量 (Slack Metric)** 核心度量方式: - **UJO** = Unemployed_Level / Job_Openings_Level(失業人數/職缺比) - 能捕捉「職缺掉很快、失業還沒上來」的早期轉弱階段 - **ΔUR** = Unemployment_Rate(t) - Unemployment_Rate(t-6M)(半年變化) - **薩姆規則** = 3M_MA(UR) - min(UR over last 12M)(觸發式警報,≥0.5 為衰退警示) 這些指標用於定義「勞動轉弱事件」的觸發與分級(輕/中/重)。 </principle> <principle name="elasticity_coefficients"> **彈性係數 (Elasticity Coefficients)** 基於 2000-2025 年歷史回歸分析的核心經濟彈性: | 係數 | 數值 | 意涵 | |-------------|-----------|----------------------------------| | **β_UR** | **0.59** | 失業率每↑1ppt → 赤字/GDP↑0.59ppt | | **β_UJO** | **0.69** | UJO每↑1 → 赤字/GDP↑0.69ppt | | **β_JOLTS** | **-0.07** | 職缺每↑1M → 赤字/GDP↓0.07ppt | | **Lag** | **4Q** | 勞動指標領先赤字約4季 | 這些彈性係數用於: - 情境投影的定量推演 - 驗證事件分組區間法的結果一致性 - 敏感度分析 詳細方法論見 `references/methodology.md`。 </principle> <principle name="high_gdp_condition"> **高 GDP 條件定義** 「高 GDP」量化為: - **GDP_level_percentile**:GDP 水平在回看期間的分位數(例如 > 70% 視為高位) - **GDP_growth_re

What's inside
Ships with 1 file
  • metadata.json
Commands it runs
cd skills/analyze-high-unemployment-high-gdp-growth-fiscal-deficit-scenarios
pip install pandas numpy requests matplotlib  # 首次使用
python scripts/analyzer.py --quick
python scripts/analyzer.py --visualize --scenario-type moderate
python scripts/visualizer.py --scenario moderate --years 25
More from claude-skill-registry
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About this skill
What does the analyze-high-unemployment-high-gdp-growth-fiscal-deficit-scenarios skill do?

在「失業率走高/勞動市場轉弱」但「名目或實質 GDP 仍維持高位(或仍在成長)」的情境下,依據歷史關聯估算美國財政赤字占 GDP(Deficit/GDP)可能擴張的區間,並生成對長天期美債(長久期 UST)供給/利率風險的情境解讀。支援視覺化圖表輸出。

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill analyze-high-unemployment-high-gdp-growth-fiscal-deficit-scenari --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.

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