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Get Started Free →Extract data from Excel and CSV files
.claude/skills/axoviq-ai-xlsx/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-01 | ✗→✓ | ▲ Improved | -36% | 0% |
| case-02 | ✗→✓ | ▲ Improved | 249% | 0% |
| case-03 | ✗→✓ | ▲ Improved | 19% | 0% |
| case-05 | ✗→✓ | ▲ Improved | 157% | 0% |
| case-07 | ✗→✓ | ▲ Improved | -18% | 0% |
Reads .xlsx files using openpyxl and .csv files using the stdlib csv module, returning all rows as comma-separated text.
bashpip install openpyxl
.csv files use only the Python standard library — no additional install required.
pythonimport asyncio from synthadoc.skills.xlsx.scripts.main import XlsxSkill skill = XlsxSkill() async def main(): result = await skill.extract("/path/to/data.xlsx") print(result.text) # all rows as comma-separated text print(result.metadata) # {"rows": N, "sheets": N} (xlsx only) asyncio.run(main())
.xlsx or .csvspreadsheet, excel, csvOther measured skills in the registry, with their headline benchmark lift.