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lj22503

周期定位师

by lj22503 · GitHub ↗ · v2.0.0 · MIT-0
cross-platform ✓ Security Clean
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Install in OpenClaw
/install cycle-locator
Description
[何时使用]当用户需要判断经济周期位置时;当用户问"现在经济处于什么周期"时;当进行资产配置决策时;当需要债务周期分析时
README (SKILL.md)

周期定位师 📊

基于《经济机器是怎样运行的》- 瑞·达利欧


📋 功能描述

判断当前经济处于什么周期位置,提供资产配置建议。

适用场景:

  • 经济周期判断
  • 债务周期分析
  • 资产配置决策
  • 宏观策略制定

边界条件:

  • 不替代专业研究
  • 需配合基本面分析
  • 数据时效性需注意
  • 国别差异需考虑

🎯 核心功能

功能 1:短期债务周期判断

5 大指标:

指标 当前 历史位置 信号
债务/收入 X% 高/中/低 ⚠️/➡️/✅
利率水平 X% 高/中/低 ⚠️/➡️/✅
信贷条件 宽松/正常/紧缩 - ⚠️/➡️/✅
资产价格 高估/合理/低估 - ⚠️/➡️/✅
经济情绪 乐观/中性/悲观 - ⚠️/➡️/✅

短期周期位置: 扩张早期/扩张晚期/衰退早期/衰退晚期

功能 2:长期债务周期判断

特征分析:

  • 债务积累速度 vs 收入增长
  • 利率空间
  • 货币政策空间
  • 债务/GDP 比率

长期周期位置: 早期/中期/后期/去杠杆化

功能 3:资产配置建议

不同周期配置:

周期阶段 股票 债券 现金 黄金
扩张早期 高配 低配 低配 低配
扩张晚期 中性 中性 中性 中性
衰退早期 低配 高配 高配 高配
衰退晚期 中性 中性 中性 中性

⚠️ 常见错误

错误 1:混淆短周期和长周期

问题:
• 用短周期判断长周期
• 忽视长期债务积累
• 过度关注短期波动

解决:
✓ 区分短周期(5-8 年)和长周期(50-75 年)
✓ 同时分析两个周期
✓ 长期周期决定大方向

错误 2:忽视信贷条件

问题:
• 只关注利率
• 忽视信贷可获得性
• 忽视信贷质量

解决:
✓ 关注信贷条件变化
✓ 关注信贷质量
✓ 信贷是周期核心驱动力

错误 3:线性外推

问题:
• 认为当前趋势会持续
• 忽视周期反转
• 忽视政策干预

解决:
✓ 周期会反转
✓ 政策会干预
✓ 保持逆向思维

错误 4:忽视国别差异

问题:
• 用美国周期推断中国
• 忽视制度差异
• 忽视发展阶段差异

解决:
✓ 分国家分析
✓ 考虑制度差异
✓ 考虑发展阶段

错误 5:过度简化

问题:
• 只用单一指标判断
• 忽视多因素综合
• 忽视结构性变化

解决:
✓ 多指标综合判断
✓ 关注结构性变化
✓ 保持谦逊

🔗 相关资源

  • references/dalio-framework.md - 达利欧框架详解
  • examples/china-cycle.md - 中国周期分析示例
  • examples/us-cycle.md - 美国周期分析示例
  • templates/cycle-analysis-template.md - 周期分析模板

📊 输入参数

{
  "country": {
    "type": "string",
    "required": true,
    "description": "国家/地区"
  },
  "debt_to_income": {
    "type": "number",
    "required": false,
    "description": "债务/收入比率(%)"
  },
  "interest_rate": {
    "type": "number",
    "required": false,
    "description": "利率水平(%)"
  },
  "credit_conditions": {
    "type": "string",
    "enum": ["宽松", "正常", "紧缩"],
    "required": true,
    "description": "信贷条件"
  },
  "asset_prices": {
    "type": "string",
    "enum": ["高估", "合理", "低估"],
    "required": true,
    "description": "资产价格"
  },
  "economic_sentiment": {
    "type": "string",
    "enum": ["乐观", "中性", "悲观"],
    "required": true,
    "description": "经济情绪"
  }
}

📤 输出格式

{
  "status": "success",
  "data": {
    "short_term_cycle": {
      "stage": "扩张早期 | 扩张晚期 | 衰退早期 | 衰退晚期",
      "indicators": []
    },
    "long_term_cycle": {
      "stage": "早期 | 中期 | 后期 | 去杠杆化",
      "debt_analysis": ""
    },
    "asset_allocation": {
      "stocks": "高配 | 中性 | 低配",
      "bonds": "高配 | 中性 | 低配",
      "cash": "高配 | 中性 | 低配",
      "gold": "高配 | 中性 | 低配"
    },
    "risks": []
  }
}

🧪 使用示例

示例 1:中国经济周期分析

输入:

国家:中国
债务/收入:280%
利率水平:3.5%
信贷条件:正常
资产价格:低估
经济情绪:中性

输出:

【短期债务周期判断】

| 指标 | 当前 | 历史位置 | 信号 |
|------|------|---------|------|
| 债务/收入 | 280% | 高 | ⚠️ |
| 利率水平 | 3.5% | 低 | ✅ |
| 信贷条件 | 正常 | 正常 | ➡️ |
| 资产价格 | 低估 | 低 | ✅ |
| 经济情绪 | 中性 | 中性 | ➡️ |

短期周期位置:衰退晚期

【长期债务周期判断】

特征分析:
- 债务积累速度:放缓
- 利率空间:有限
- 货币政策空间:充足

长期周期位置:后期

【资产配置建议】

| 资产类别 | 配置 | 说明 |
|---------|------|------|
| 股票 | 中性 | 估值低但增长放缓 |
| 债券 | 高配 | 利率低,安全 |
| 现金 | 中性 | 保持流动性 |
| 黄金 | 高配 | 对冲风险 |

【投资建议】

建议:防御为主
理由:
1. 短期周期处于衰退晚期
2. 长期周期处于后期
3. 债务水平高
4. 资产价格低估提供机会

风险:
- 债务风险
- 增长放缓
- 地缘政治

📚 核心理念

关键洞察:

  1. 经济机器有规律可循
  2. 短周期 5-8 年,长周期 50-75 年
  3. 信贷是周期核心驱动力
  4. 周期会反转
  5. 资产配置应对周期

健康公式:

好配置 = 周期位置 × 资产估值 × 风险对冲

🔗 相关文件

  • templates/cycle-analysis-template.md - 周期分析模板
  • examples/cycle-examples.md - 完整周期分析示例集
  • references/dalio-framework.md - 达利欧框架参考

更新日志

  • v2.0.0 (2026-03-19): 按照 SKILL-STANDARD-v2.md 重构,添加 Front Matter、坑点章节、相关资源 📊
  • v1.0.0 (2026-03-13): 初始版本,周期定位师上线 📊

经济机器有规律可循。理解周期,顺势而为。 📊

Usage Guidance
This skill appears coherent and safe from a permissions perspective: it is a document-driven template and guidance pack for economic-cycle assessment. Before installing or relying on it: 1) remember it is not a data-fetching tool — you or the agent must supply up-to-date, authoritative data (national stats, central bank releases); 2) treat outputs as advisory, not financial advice; verify with current data and professional research; 3) check the included references/examples to ensure methodology matches your needs; and 4) if you plan to attach external data sources or connectors later, review those connectors/credentials separately (they would be outside this skill and could introduce new risks).
Capability Analysis
Type: OpenClaw Skill Name: cycle-locator Version: 2.0.0 The skill bundle is a purely informational and analytical tool designed to help an AI agent perform economic cycle analysis based on Ray Dalio's 'Economic Machine' framework. It contains no executable code, scripts, or network-enabled components. The instructions in SKILL.md and the supporting templates/examples are strictly aligned with the stated purpose of macroeconomic modeling and asset allocation, with no evidence of prompt injection, data exfiltration, or malicious intent.
Capability Assessment
Purpose & Capability
The name/description (economic cycle location and asset allocation) matches the content of SKILL.md, examples, references and templates. No unrelated binaries, credentials, or config paths are requested.
Instruction Scope
SKILL.md defines input parameters, outputs, analysis steps and templates focused on macro cycle assessment. It does not instruct the agent to read system files, access secrets, call external endpoints, or exfiltrate data. References to data sources (e.g., national statistics, central bank) are descriptive, not executable fetch instructions.
Install Mechanism
No install spec and no code files are present (instruction-only). Nothing will be downloaded or written to disk by an installer.
Credentials
The skill requires no environment variables, credentials, or config paths. Required inputs are explicitly enumerated and are domain-appropriate (country, rates, credit conditions, etc.).
Persistence & Privilege
always is false and the skill does not request persistent system presence or elevated privileges. Autonomous invocation (platform default) is allowed but not combined with any extra privileges or broad credential access.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install cycle-locator
  3. After installation, invoke the skill by name or use /cycle-locator
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v2.0.0
按 v2.0 标准重构
Metadata
Slug cycle-locator
Version 2.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is 周期定位师?

[何时使用]当用户需要判断经济周期位置时;当用户问"现在经济处于什么周期"时;当进行资产配置决策时;当需要债务周期分析时. It is an AI Agent Skill for Claude Code / OpenClaw, with 148 downloads so far.

How do I install 周期定位师?

Run "/install cycle-locator" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is 周期定位师 free?

Yes, 周期定位师 is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does 周期定位师 support?

周期定位师 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created 周期定位师?

It is built and maintained by lj22503 (@lj22503); the current version is v2.0.0.

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