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reflact/envs/spreadsheetbench/skills/initial.md

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+# Spreadsheet Manipulation Skill (xlsx)
+
+## Overview
+This skill guides agents in manipulating Excel (.xlsx) spreadsheets using Python.
+
+**Primary libraries**: `openpyxl` (structure-preserving read/write), `pandas` (data transformation).
+Never use any other third-party libraries.
+
+---
+
+## Common Workflow
+
+1. **Explore** the input file: list sheets, inspect headers, check dimensions.
+2. **Write `solution.py`** with `INPUT_PATH` and `OUTPUT_PATH` defined at the top.
+3. **Execute** `python solution.py` and verify the output file was created.
+4. **Confirm** the target cells/range contain the expected values.
+
+---
+
+## Library Selection
+
+| Use case | Library |
+|----------|---------|
+| Preserve formulas, formatting, named ranges | `openpyxl` |
+| Bulk data transformation, aggregation, sorting | `pandas` → write back with `openpyxl` |
+| Simple cell read/write | `openpyxl` |
+
+**Warning**: `pandas.to_excel()` silently destroys existing formulas and named ranges.
+When writing back to a spreadsheet that contains formulas, always use `openpyxl.save()`.
+
+---
+
+## solution.py Template
+
+```python
+import openpyxl
+import pandas as pd
+
+INPUT_PATH  = "..."   # set to the actual input path
+OUTPUT_PATH = "..."   # set to the actual output path
+
+wb = openpyxl.load_workbook(INPUT_PATH)
+ws = wb.active  # or wb["SheetName"]
+
+# --- perform manipulation ---
+
+wb.save(OUTPUT_PATH)
+```
+
+---
+
+## Output Requirements
+
+- Save the result to `OUTPUT_PATH`.
+- Do not hardcode row counts or column letters — iterate over actual rows in the workbook.
+- Preserve sheets and cells not mentioned in the instruction.

reflact/envs/spreadsheetbench/skills/xlsx_initial.md

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+# Spreadsheet Manipulation Skill (xlsx)
+
+## Overview
+This skill guides agents in manipulating Excel (.xlsx) spreadsheets using Python.
+
+**Primary libraries**: `openpyxl` (structure-preserving read/write), `pandas` (data transformation).
+Never use any other third-party libraries.
+
+---
+
+## Common Workflow
+
+1. **Explore** the input file: list sheets, inspect headers, check dimensions.
+2. **Write `solution.py`** with `INPUT_PATH` and `OUTPUT_PATH` defined at the top.
+3. **Execute** `python solution.py` and verify the output file was created.
+4. **Confirm** the target cells/range contain the expected values.
+
+---
+
+## Library Selection
+
+| Use case | Library |
+|----------|---------|
+| Preserve formulas, formatting, named ranges | `openpyxl` |
+| Bulk data transformation, aggregation, sorting | `pandas` → write back with `openpyxl` |
+| Simple cell read/write | `openpyxl` |
+
+**Warning**: `pandas.to_excel()` silently destroys existing formulas and named ranges.
+When writing back to a spreadsheet that contains formulas, always use `openpyxl.save()`.
+
+---
+
+## solution.py Template
+
+```python
+import openpyxl
+import pandas as pd
+
+INPUT_PATH  = "..."   # set to the actual input path
+OUTPUT_PATH = "..."   # set to the actual output path
+
+wb = openpyxl.load_workbook(INPUT_PATH)
+ws = wb.active  # or wb["SheetName"]
+
+# --- perform manipulation ---
+
+wb.save(OUTPUT_PATH)
+```
+
+---
+
+## Output Requirements
+
+- Save the result to `OUTPUT_PATH`.
+- Do not hardcode row counts or column letters — iterate over actual rows in the workbook.
+- Preserve sheets and cells not mentioned in the instruction.

reflact/envs/spreadsheetbench/skills/xlsx_skill0.md

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+# No Skill
+
+This is a placeholder. No domain skill is loaded for this run.
+The agent relies solely on its parametric knowledge.