xlsx-check-for-errors
Sub-skill of xlsx: Check for Errors (+1).
Best use case
xlsx-check-for-errors is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Sub-skill of xlsx: Check for Errors (+1).
Teams using xlsx-check-for-errors should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/check-for-errors/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How xlsx-check-for-errors Compares
| Feature / Agent | xlsx-check-for-errors | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Sub-skill of xlsx: Check for Errors (+1).
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Check for Errors (+1)
## Check for Errors
```python
from openpyxl import load_workbook
wb = load_workbook("model.xlsx", data_only=False)
ws = wb.active
errors = ["#REF!", "#DIV/0!", "#VALUE!", "#N/A", "#NAME?", "#NULL!", "#NUM!"]
for row in ws.iter_rows():
for cell in row:
if cell.value and isinstance(cell.value, str):
for error in errors:
if error in str(cell.value):
print(f"Error {error} in cell {cell.coordinate}")
```
## Validate Formulas
Before saving, always:
1. Check cell references are correct
2. Avoid off-by-one errors
3. Test edge cases (empty cells, zeros)
4. Verify formula logicRelated Skills
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