# Pandas Analysis

> Data manipulation and analysis with pandas. Use when cleaning data, performing aggregations, merging datasets, or building analysis pipelines.

- **Type:** Skill
- **Install:** `agentstack add skill-ihatesea69-kiro-kit-pandas-analysis`
- **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior
- **Seller:** [ihatesea69](https://agentstack.voostack.com/s/ihatesea69)
- **Installs:** 0
- **Category:** [Data & Analytics](https://agentstack.voostack.com/c/data-and-analytics)
- **Latest version:** 0.1.0
- **License:** MIT
- **Upstream author:** [ihatesea69](https://github.com/ihatesea69)
- **Source:** https://github.com/ihatesea69/kiro-kit/tree/main/.kiro/skills/pandas-analysis
- **Website:** https://www.npmjs.com/package/kiro-kit

## Install

```sh
agentstack add skill-ihatesea69-kiro-kit-pandas-analysis
```

Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent.

## About

# Pandas Analysis

Activate this skill when working with tabular data using pandas.

## When to Use

- Cleaning and preprocessing datasets
- Performing groupby aggregations
- Merging and joining multiple DataFrames
- Time series manipulation
- Exploratory data analysis

## Patterns

```python
import pandas as pd

# Method chaining for clean pipelines
result = (
    df.pipe(clean_column_names)
    .query("revenue > 0")
    .assign(margin=lambda x: x.revenue - x.cost)
    .groupby("category")
    .agg(total_margin=("margin", "sum"), count=("margin", "size"))
    .sort_values("total_margin", ascending=False)
)
```

## Performance Tips

- Use `category` dtype for low-cardinality strings
- Prefer vectorized operations over `apply()`
- Use `read_csv(usecols=...)` to load only needed columns
- Consider `pyarrow` backend for large datasets
- Use `query()` over boolean indexing for readability

## Rules

- Always inspect data shape and dtypes first
- Handle missing values explicitly (never ignore NaN)
- Validate assumptions about uniqueness and cardinality
- Use `.copy()` to avoid SettingWithCopyWarning
- Document data transformations with comments

## Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

- **Author:** [ihatesea69](https://github.com/ihatesea69)
- **Source:** [ihatesea69/kiro-kit](https://github.com/ihatesea69/kiro-kit)
- **License:** MIT
- **Homepage:** https://www.npmjs.com/package/kiro-kit

Install and usage instructions live in the source repository linked above.

## Pricing

- **Free** — Free

## Security capabilities

Automated source analysis of v0.1.0 — what this tool can access:

- **Network access:** no
- **Filesystem access:** no
- **Shell / process execution:** no
- **Environment & secrets:** no
- **Dynamic code execution:** no

*"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.*


## Versions

- **0.1.0** — security scan: passed — Imported from the upstream source.

## Links

- Listing page: https://agentstack.voostack.com/l/skill-ihatesea69-kiro-kit-pandas-analysis
- Seller: https://agentstack.voostack.com/s/ihatesea69
- Browse the marketplace: https://agentstack.voostack.com/browse

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Listed on AgentStack — the marketplace for AI agent skills and MCP servers. Every listing is security-reviewed. Creators keep 70%.