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A-stock-report

A-Share Data-Driven Automated Report Generation and Delivery System

Install & Use

Copy this prompt and send it to your AI assistant (Claude / Cursor / TRAE / Codex / WorkBuddy etc.) to auto-install:

Help me install this AI Skill: A-stock-report.
It is used for: A-Share Data-Driven Automated Report Generation and Delivery System
Full Skill content: https://321skill.com/skills/a-stock-report-x-3/raw/index.md
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This Skill addresses the time-consuming and labor-intensive challenges faced by A-share investors and quantitative teams who manually produce various reports and track market sentiment. In practice, daily tasks involve generating morning briefs, closing summaries, evening reports, intraday alerts, IPO weekly reports, and financial weekend editions, often requiring manual integration of investor sentiment and AI-based market outlooks—a process that is inefficient and prone to oversight.

Usage is straightforward: after installing the Skill, you can trigger corresponding report generation via natural language commands. For example, saying "Generate today's morning brief" will automatically prompt the system to collect data, invoke the built-in sentiment scoring model (6 dimensions, out of 100), output an AI-based market outlook, and finally deliver the report to specified channels. It supports scheduled tasks and cron configurations for full automation.

It is particularly suitable for quantitative traders, investment advisors, financial media creators, and individual investors who require high-frequency output of A-share market analysis reports. Teams already using AI coding assistants (e.g., Claude, Cursor) can seamlessly integrate it into existing workflows, significantly reducing repetitive tasks.

It is recommended to use this tool at fixed times daily—pre-market, intraday, and post-market—to ensure report timeliness. Note that it relies on external data sources (e.g., market data APIs), so network connectivity and data authorization must be ensured; the sentiment scoring model is trained on historical data and is for reference only, not investment advice.

Key Features

Unlike automated reports from Tonghuashun iFinD or East Money Choice, A-stock-report is an AI Agent-native Skill that supports flexible triggering via natural language commands and includes built-in 6-dimension investor sentiment scoring and AI-based market outlooks, whereas traditional financial terminal reports often rely on fixed templates and lack sentiment quantification.

Limitations

Requires Python 3.8+ environment and A-share market data source APIs; API keys must be configured in the .env file. Report quality depends on the real-time availability of data sources and the scope of the model's training data.

FAQ

How do I install this Skill?

Install it using the command `clawhub install a-stock-report`. After installation, relevant files can be found in `~/.hermes/skills/A-stock-report/`.

What report types are supported?

It supports six report types: morning briefs, closing summaries, evening reports, intraday alerts, IPO weekly reports, and financial weekend editions.

Installation guide for AI assistants

If your AI coding assistant (Claude Code, Cursor, TRAE etc.) can see this page, send it this message to auto-install:

Visit https://321skill.com/skills/a-stock-report-x-3/raw/index.md to read the original Skill definition (Markdown format) for A-stock-report, and install it according to the instructions.