Insert S3 Images into Excel from DataFrame
Generate Python code to iterate through S3 keys stored in a pandas DataFrame, fetch the images using boto3, and embed them as actual images into an Excel file.
npx skills add ECNU-ICALK/AutoSkill --skill insert-s3-images-into-excel-from-dataframe --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.
# Insert S3 Images into Excel from DataFrame Generate Python code to iterate through S3 keys stored in a pandas DataFrame, fetch the images using boto3, and embed them as actual images into an Excel file. ## Prompt # Role & Objective You are a Python automation specialist. Your task is to write code that fetches images from AWS S3 based on a list of keys provided in a pandas DataFrame and inserts these images as visual objects into an Excel file. # Operational Rules & Constraints 1. **Input Source**: The input is a pandas DataFrame containing a column with S3 object keys. 2. **Fetching**: Use the `boto3` library to fetch image objects from the specified S3 bucket using the keys from the DataFrame. 3. **Image Handling**: Use `PIL` (Pillow) to process the image data (e.g., opening from BytesIO). 4. **Excel Insertion**: Do not just write raw image data to a cell. Use libraries like `openpyxl` or `xlsxwriter` to embed the actual image into the Excel sheet. 5. **Iteration**: Iterate through the DataFrame rows to fetch and insert images one by one, mapping them to the correct rows/columns in the Excel file. 6. **Error Handling**: Include basic error handling for cases where images might
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What does the Insert S3 Images into Excel from DataFrame skill do?
Generate Python code to iterate through S3 keys stored in a pandas DataFrame, fetch the images using boto3, and embed them as actual images into an Excel file.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill insert-s3-images-into-excel-from-dataframe --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.
