generate-daily-sports-update

# Generate Daily Sports Update This skill runs the `daily_sports_update.py` script to fetch the latest sports science research and wearable tech news. It automatically handles deduplication, so you can run it frequently without worrying about seeing the same content twice. ## Prerequisites - **Python 3**: Requires `python3` to be installed. - **Dependencies**: The required Python packages defined in `requirements.txt` must be installed (`pip3 install -r requirements.txt`). - **Environment Variables**: - `NOTION_TOKEN`: The integration token for Notion API. - `NOTION_PAGE_ID`: The ID of the Notion page to sync the daily update to. - **Tools Needed**: You must have access to the `run_command` tool to execute the script in a bash terminal. ## Instructions 1. **Locate the Script**: The script `daily_sports_update.py` is located in the user's sports-science-daily directory. You should first ensure you are in the correct working directory. 2. **Run the update**: Use the `run_command` tool to execute the python script. ```bash python3 daily_sports_update.py --days 2 ``` - `--days N`: (Optional) Number of days to look back (default is 7). If you haven't run it in a while, increase this (e.g., `--days 7` or `--days 30`). - `--no-history`: (Optional) Use this ONLY if you want to force re-fetching of already seen items (e.g., for debugging). 3. **Output & Sync**: - The script will generate a local Markdown file named: `YYYY-MM-DD_运动科学日报.md` - It will automatically sync the compiled blocks directly to the specified Notion page using the Notion APIs. - It updates `processed_history.json` locally to mark fetched URLs/PMIDs as seen. 4. **Handling "No New Content"**: - If the script's terminal output contains "🎉 没有发现新内容" (No new content found), it means all found items in the lookback period have already been processed and synced previously. You can try running with a larger `--days` argument. ## Security & Privacy Note - **External Endpoints Called**: - `https://eutils.ncbi.nlm.nih.gov`: Accessed to fetch PubMed paper statistics and abstracts. - `https://api.notion.com`: Accessed to create and populate the daily reports. - Various RSS feed URLs (e.g., Garmin, MySportScience, YouTube RSS). - **Files Checked**: Opens and updates `processed_history.json` and creates `.md` reporting files locally in the working directory. - This skill invokes web requests to fetch relevant sports science data but does not expose any user PII.