Fetch financial evaluation data from specified datasets using Python scripts.
npx skills add https://github.com/superfhp/lumi-agent --skill fetch-data-superfhp
Please help me install this Agent Skill. Skill: fetch-data Source: https://github.com/superfhp/lumi-agent/tree/main/skills/fin-llm-eval-report/fetch-data Command: npx skills add https://github.com/superfhp/lumi-agent --skill fetch-data-superfhp
This skill automates the process of fetching data from financial evaluation datasets, allowing users to efficiently gather and organize data for analysis.
--include parameter to specify the dataset to be fetched.To fetch data from the specified dataset, run the command: fetch-data --include your_keyword
High-intent search queries and answers about installing and using this skill.
You can automate fetching financial evaluation data by running the `fetch-data --include your_keyword` command in a Python environment. This automatically retrieves and organizes data from specified datasets for analysis.
The best way to retrieve this data is by using the dedicated Python scripts: `generate_news_data.py`, `generate_finance_data.py`, and `generate_research_data.py`. These scripts fetch targeted financial evaluation datasets automatically.
Yes, a Python environment is required to execute the financial data retrieval scripts. The data fetching process relies on Python to run the provided scripts and organize the evaluation datasets effectively.
Yes, you can specify which financial dataset to fetch by using the `--include` parameter followed by your target keyword. This customization ensures you only retrieve the specific evaluation datasets needed.
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