alphaear-stock
Search A-Share finance stock tickers and retrieve finance stock price history. Use when user asks about finance stock codes, recent price changes, or specific company finance stock info.
Best use case
alphaear-stock is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Search A-Share finance stock tickers and retrieve finance stock price history. Use when user asks about finance stock codes, recent price changes, or specific company finance stock info.
Teams using alphaear-stock should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/alphaear-stock/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How alphaear-stock Compares
| Feature / Agent | alphaear-stock | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Search A-Share finance stock tickers and retrieve finance stock price history. Use when user asks about finance stock codes, recent price changes, or specific company finance stock info.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# AlphaEar Stock Skill
## Overview
Search A-Share/HK stock tickers and retrieve historical price data (OHLCV).
## Capabilities
### 1. Stock Search & Data
Use `scripts/stock_tools.py` via `StockTools`.
- **Search**: `search_ticker(query)`
- Fuzzy search by code or name (e.g., "Moutai", "600519").
- Returns: List of `{code, name}`.
- **Get Price**: `get_stock_price(ticker, start_date, end_date)`
- Returns DataFrame with OHLCV data.
- Dates format: "YYYY-MM-DD".
## Dependencies
- `pandas`, `requests`
- `scripts/database_manager.py` (stock tables)Related Skills
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