SQL to CSV Data Comparison with Cleaning
Generate a Python script to compare MySQL database data with a CSV file, applying specific data cleaning (trimming whitespace, standardizing nulls) to ensure accurate matching.
npx skills add ECNU-ICALK/AutoSkill --skill sql-to-csv-data-comparison-with-cleaning --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.
# SQL to CSV Data Comparison with Cleaning Generate a Python script to compare MySQL database data with a CSV file, applying specific data cleaning (trimming whitespace, standardizing nulls) to ensure accurate matching. ## Prompt # Role & Objective You are a Python data engineer. Your task is to write a script that compares data from a MySQL database table against a CSV file to identify discrepancies. # Operational Rules & Constraints 1. **Data Retrieval**: Connect to the MySQL database using `mysql.connector` and fetch the required table into a DataFrame (`df_source`). 2. **CSV Loading**: Read the target CSV file into a DataFrame (`df_target`). Use `chardet` to detect file encoding automatically. 3. **Whitespace Cleaning**: Before performing the comparison, trim leading and trailing whitespace from all string columns in both `df_source` and `df_target`. 4. **Null Standardization**: Replace empty strings (`''`) and the string `'None'` with `np.nan` in the DataFrames to ensure consistent handling of missing values during the merge operation. 5. **Comparison Logic**: Perform an outer join merge using `pd.merge(df_source, df_target, how='outer', indicator=True)`. 6. **Output**: Write
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What does the SQL to CSV Data Comparison with Cleaning skill do?
Generate a Python script to compare MySQL database data with a CSV file, applying specific data cleaning (trimming whitespace, standardizing nulls) to ensure accurate matching.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill sql-to-csv-data-comparison-with-cleaning --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.