xlsx-with-pandas
Sub-skill of xlsx: With Pandas (+1).
Best use case
xlsx-with-pandas is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Sub-skill of xlsx: With Pandas (+1).
Teams using xlsx-with-pandas 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/with-pandas/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How xlsx-with-pandas Compares
| Feature / Agent | xlsx-with-pandas | 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: With Pandas (+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
# With Pandas (+1)
## With Pandas
```python
import pandas as pd
df = pd.DataFrame({
'Name': ['Alice', 'Bob', 'Charlie'],
'Sales': [1000, 1500, 1200],
'Region': ['East', 'West', 'North']
})
# Simple export
*See sub-skills for full details.*
## With Openpyxl (Formulas)
```python
from openpyxl import Workbook
from openpyxl.styles import Font, PatternFill, Alignment
from openpyxl.utils import get_column_letter
wb = Workbook()
ws = wb.active
ws.title = "Financial Model"
# Headers
*See sub-skills for full details.*Related Skills
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Convert Excel calculation spreadsheets to Python code — extract formulas, build dependency graphs, generate pytest tests using cell values as assertions, and produce dark-intelligence archive YAMLs.
xlsx
Excel spreadsheet toolkit for creating, reading, and manipulating .xlsx files. Supports formulas, formatting, charts, and financial modeling with industry-standard conventions. Use for data analysis, financial models, reports, and spreadsheet automation.
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Sub-skill of pandas-data-processing: 5. GroupBy Operations.
pandas-data-processing-4-multi-file-processing
Sub-skill of pandas-data-processing: 4. Multi-File Processing.
pandas-data-processing-3-data-transformation
Sub-skill of pandas-data-processing: 3. Data Transformation.
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Sub-skill of pandas-data-processing: 2. Statistical Analysis.
pandas-data-processing-1-time-series-analysis
Sub-skill of pandas-data-processing: 1. Time Series Analysis.
pandas-data-processing-1-memory-efficiency
Sub-skill of pandas-data-processing: 1. Memory Efficiency (+3).
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Sub-skill of xlsx-to-python: Why Parametric Variations Are Required (+4).
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Sub-skill of xlsx-to-python: Using `formulas` for Complex Workbooks.
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Sub-skill of xlsx-to-python: Test Assertion Patterns by Data Type (+1).
xlsx-to-python-step-6-calculation-block-detection
Sub-skill of xlsx-to-python: Step 6 — Calculation Block Detection.