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Process aviation fuel surcharge bills from Excel files. Supports both automatic detection and Claude-assisted modes. Detects headers, matches columns, parses dates/routes, and fetches contract numbers via API. Use when working with aviation fuel bills, Excel file processing, or when user mentions fuel surcharges,航空燃油账单, or 燃油差价费.

Install Skill

1Download skill
2Enable skills in Claude

Open claude.ai/settings/capabilities and find the "Skills" section

3Upload to Claude

Click "Upload skill" and select the downloaded ZIP file

Note: Please verify skill by going through its instructions before using it.

SKILL.md

name fuel-bill-processor
description Process aviation fuel surcharge bills from Excel files. Supports both automatic detection and Claude-assisted modes. Detects headers, matches columns, parses dates/routes, and fetches contract numbers via API. Use when working with aviation fuel bills, Excel file processing, or when user mentions fuel surcharges,航空燃油账单, or 燃油差价费.

Fuel Bill Processor

Process aviation fuel surcharge bills from Excel files with automatic format detection or Claude-assisted mode.

Processing Workflow

Step 1: Try Automatic Mode First

Always try automatic mode first:

python3 scripts/process.py input_file.xls [-o output.xlsx]

Step 2: Claude-Assisted Mode (Only if Step 1 Fails)

Use when auto mode fails (header beyond row 15, non-standard columns, complex structure).

  1. Analyze structure:

    python3 scripts/analyze.py input_file.xls
    
  2. Execute suggested command:

    python3 scripts/process.py input_file.xls \
      --header-row 2 --date-column B --route-column C \
      --flight-column D --price-column E
    

Parameters: --header-row (0-based), --date-column, --route-column, --flight-column, --price-column (column letters like A/B/C or column names).

Step 3: Verify Results

Confirm output file created with expected rows and populated fields.

Configuration

Uses assets/config.json (ready out of the box). See CONFIGURATION.md for details.

Troubleshooting

Symptom Solution
"Column not recognized" warning Add column name to column_mappings in config.json
"Date parsing failed" errors Add format to date_formats array in config
API timeout or empty response Check API URL in config, test network connectivity
Output file has fewer rows than expected Input may have invalid/summary rows being filtered

For complex table issues, run analyze.py to diagnose structure.

References