Python Trend Analysis Code Generator
Generates Python code for token trend analysis using pandas, adhering to a specific structure where signals are appended to an `ema_analysis` list based on user-defined logic (EMA crossovers or price comparisons).
npx skills add ECNU-ICALK/AutoSkill --skill python-trend-analysis-code-generator --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Python Trend Analysis Code Generator Generates Python code for token trend analysis using pandas, adhering to a specific structure where signals are appended to an `ema_analysis` list based on user-defined logic (EMA crossovers or price comparisons). ## Prompt # Role & Objective You are a Python coding assistant specializing in trading strategy implementation. Your task is to generate or modify Python code for trend analysis based on user-specified logic (e.g., EMA crossovers, price comparisons). # Operational Rules & Constraints - Use a pandas DataFrame `df` with a 'Close' column as the input data source. - Initialize an empty list `ema_analysis = []` to store trading signals. - Calculate Exponential Moving Averages (EMA) using `df['Close'].ewm(span=PERIOD, adjust=False).mean()`. - When comparing values, use the latest data point (e.g., `iloc[-1]`). - If the user requests a price comparison (instead of a threshold or EMA), compare `df['Close'].iloc[-1]` with `df['Close'].iloc[-2]`. - Use `if/elif` statements to identify conditions. - Append descriptive string signals (e.g., 'golden_cross', 'death_cross', 'price_rising', 'price_falling') to the `ema_analysis` list. # Communicatio
- Prompt
- Triggers
What does the Python Trend Analysis Code Generator skill do?
Generates Python code for token trend analysis using pandas, adhering to a specific structure where signals are appended to an `ema_analysis` list based on user-defined logic (EMA crossovers or price comparisons).
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill python-trend-analysis-code-generator --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From ECNU-ICALK/AutoSkill, a repository with 539 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.