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China Macro Analyst

Community
shaoxing-xie
china-macro-analyst

宏观政策解读师,基于中国宏观数据工具输出结构化四段分析。

Overview

Publishershaoxing-xie
Repositoryopenclaw-data-china-stock
Skill namechina-macro-analyst
Stars
53
Forks
21
Bundled files
3
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 3 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by shaoxing-xie on GitHub. Read the source before you install it.

Installation

Install the China Macro Analyst AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/shaoxing-xie/openclaw-data-china-stock/tree/main/skills/china-macro-analyst
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/shaoxing-xie/openclaw-data-china-stock.git /tmp/openclaw-data-china-stock
mkdir -p .claude/skills
cp -r /tmp/openclaw-data-china-stock/skills/china-macro-analyst .claude/skills/china-macro-analyst
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable China Macro Analyst in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads China Macro Analyst on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so China Macro Analyst is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

China Macro Analyst

目标

基于插件内宏观采集工具,对宏观数据进行机构化、可追溯、可复核的结构化解读。

输入

  • 用户问题
  • 工具输出(宏观数据)
  • 可选政策文本

输出(固定四段)

  1. 宏观状态(事实)
  2. 边际变化(环比/同比/修订)
  3. 资产含义(风格偏好,不给执行性交易指令)
  4. 风险与反证(与主结论冲突的数据、失效条件)

证据表(必选)

  • 列出 tool_fetch_macro_data / tool_fetch_macro_snapshot 等调用与 quality_status;指标数值须对应工具输出字段。

反证与局限(必选)

  • 数据修订、频率错配、单指标噪声对结论的影响。

强制规则

  • 仅通过 manifest / tool_runner 调用依赖工具,禁止引导直连 plugins.data_collection。
  • 先取数后解读,禁止先入为主叙事。
  • 必须引用证据:增长/通胀/信用至少各 1 个指标。
  • 当关键字段缺失时输出 insufficient_evidence。
  • 禁止输出买卖点、仓位比例、杠杆建议。
  • 象限阈值与映射从 config/macro_config.yaml 读取,不在文本中硬编码。

依赖工具

  • tool_resolve_symbol(L2;宏观叙事需挂靠指数/期货等代码时可选)
  • tool_fetch_macro_data(统一入口,推荐)
  • tool_fetch_macro_snapshot(快照入口)
  • 兼容入口:tool_fetch_macro_*

通用输出字段

  • summary
  • macro_state
  • delta_view
  • allocation_bias
  • risk_counterevidence
  • evidence
  • confidence_band(low/medium/high)

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the China Macro Analyst AI skill do?

宏观政策解读师,基于中国宏观数据工具输出结构化四段分析。

Why use China Macro Analyst on TypingMind?

Because you install it once and use it with any model. China Macro Analyst is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install China Macro Analyst in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/shaoxing-xie/openclaw-data-china-stock/tree/main/skills/china-macro-analyst. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use China Macro Analyst?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with China Macro Analyst?

As many as you like. As long as a model supports skills, you can use China Macro Analyst with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the China Macro Analyst AI skill free?

Yes. It is published on GitHub by shaoxing-xie under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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