Global Macro Database Assistant
Low Risk基于东方财富数据库，支持自然语言查询全球宏观经济数据，涵盖国民经济核算、价格指数、货币金融、财政收支、对外贸易、就业民生、产业运行等多个领域，适配各类宏观经济研究、市场分析、政策解读等多元专业场景需求。返回结果包含数据说明及 csv 文件。Natural language query for macroecono...
Editorial assessment
Where Global Macro Database Assistant fits
Global Macro Database Assistant is currently positioned as a data analysis skill for engineering teams running repository, CI, and issue workflows. Based on the available metadata, the core job to be done is straightforward: 基于东方财富数据库，支持自然语言查询全球宏观经济数据，涵盖国民经济核算、价格指数、货币金融、财政收支、对外贸易、就业民生、产业运行等多个领域，适配各类宏观经济研究、市场分析、政策解读等多元专业场景需求。返回结果包含数据说明及 csv 文件。natural language query for macroecono.
The current description adds a practical clue about how the skill behaves in the field: 基于东方财富数据库，支持自然语言查询全球宏观经济数据，涵盖国民经济核算、价格指数、货币金融、财政收支、对外贸易、就业民生、产业运行等多个领域，适配各类宏观经济研究、市场分析、政策解读等多元专业场景需求。返回结果包含数据说明及 csv 文件。natural language query for macroecono... latest version: 1.0.9 source: https://clawhub.ai/financial ai analyst/mx macro data. Combined with a CLI-based install path, this makes Global Macro Database Assistant easier to evaluate than pages that only list a name and external link.
Global Macro Database Assistant can usually be trialed quickly, as long as the source and permissions still get reviewed. No explicit permission list is published in the current record, so verify the runtime surface in the source repository before rollout.
Best fit
engineering teams running repository, CI, and issue workflows
Install surface
Open in ClawHub: https://clawhub.ai/financial-ai-analyst/mx-macro-data
Source signal
Public source link available
Workflow tags
Analysis, Economic, and Financial
Adoption posture
Install command documented
Risk review
Can usually be trialed quickly, as long as the source and permissions still get reviewed
Install Command
Open in ClawHub: https://clawhub.ai/financial-ai-analyst/mx-macro-dataBest-fit workflows
Global Macro Database Assistant is best evaluated in data analysis environments where 基于东方财富数据库，支持自然语言查询全球宏观经济数据，涵盖国民经济核算、价格指数、货币金融、财政收支、对外贸易、就业民生、产业运行等多个领域，适配各类宏观经济研究、市场分析、政策解读等多元专业场景需求。返回结果包含数据说明及 csv 文件。natural language query for macroecono
Shortlist it when your team is actively comparing options for analysis, economic, and financial workflows
Use a disposable workspace for the first pass so you can confirm the install flow, repository quality, and downstream permissions before broader adoption
About
基于东方财富数据库，支持自然语言查询全球宏观经济数据，涵盖国民经济核算、价格指数、货币金融、财政收支、对外贸易、就业民生、产业运行等多个领域，适配各类宏观经济研究、市场分析、政策解读等多元专业场景需求。返回结果包含数据说明及 csv 文件。Natural language query for macroecono... Latest version: 1.0.9 Source: https://clawhub.ai/financial-ai-analyst/mx-macro-data
Rollout checklist
Review the source repository at https://clawhub.ai/financial-ai-analyst/mx-macro-data and confirm the README, maintenance activity, and install notes are still current.
Run `Open in ClawHub: https://clawhub.ai/financial-ai-analyst/mx-macro-data` in a disposable environment first so you can confirm package resolution, dependencies, and rollback steps.
Capture the permissions and runtime surface during the first install, because the current record does not yet publish a detailed permission map.
Map Global Macro Database Assistant against the rest of your stack in analysis, economic, and financial workflows so the team knows whether it is a standalone tool or a supporting utility.
FAQ
What does Global Macro Database Assistant help with?
Global Macro Database Assistant is positioned as a data analysis skill. Based on the current summary and tags, it is most relevant for engineering teams running repository, CI, and issue workflows, especially when the workflow requires 基于东方财富数据库，支持自然语言查询全球宏观经济数据，涵盖国民经济核算、价格指数、货币金融、财政收支、对外贸易、就业民生、产业运行等多个领域，适配各类宏观经济研究、市场分析、政策解读等多元专业场景需求。返回结果包含数据说明及 csv 文件。natural language query for macroecono.
How should I evaluate Global Macro Database Assistant before using it in production?
Start by running Open in ClawHub: https://clawhub.ai/financial-ai-analyst/mx-macro-data in a disposable environment, then review the source repository, permission surface, and any workflow-specific dependencies before wider rollout.
Why does this page include editorial guidance instead of only the upstream docs?
ClawList is trying to make each skill page more useful than a bare directory listing. That means surfacing practical signals like the install surface, source link, permissions, workflow fit, and rollout considerations in one place.
Who is the best first user for Global Macro Database Assistant?
The best first evaluator is usually the operator or engineer already responsible for data analysis workflows, because they can verify whether Global Macro Database Assistant matches the current stack, risk tolerance, and maintenance expectations.