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DataPython

Pandas

by nimadorostkar

Pandas is a Data skill for Claude Code, published by nimadorostkar in Claude-Skills-collection.

25 stars3 forkson nimadorostkar/Claude-Skills-collectionAdded 2026/08/12Repository updated 2026/07/26
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Install in seconds
Install Pandas
Copy Pandas into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.
terminal
npx degit https://github.com/nimadorostkar/Claude-Skills-collection/tree/main/skills/data/pandas ~/.claude/skills/pandas

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/nimadorostkar/Claude-Skills-collection.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file
skills/data/pandas/SKILL.md in nimadorostkar/Claude-Skills-collection
Installs to
~/.claude/skills/pandas
Collection
One of 50 skills cataloged from this repository
Category
Data — 668 skills

What Pandas does

Pandas helps analyze and transform tabular data in Python with vectorized operations, explicit dtypes, and correct joins. Use it when cleaning data, reviewing pandas code, or deciding if the data is too large for pandas.

Pandas is cataloged under Data on DirSkills. Pandas comes from a repository tagged ai, claude, claude-skills and skills.

Documentation

README

Pandas

Purpose

Transform and analyze tabular data correctly and at speed. Pandas makes it easy to write code that is slow, and easier still to write code that is silently wrong.

When to Use

  • Cleaning, transforming, or analyzing tabular data in Python.
  • A pandas operation that is slow or exhausting memory.
  • Reviewing analysis code for correctness.
  • Deciding whether the dataset has outgrown pandas.

Capabilities

  • Vectorized operations and eliminating row-wise loops.
  • Memory reduction through dtype selection.
  • Merge and join semantics, including the ones that silently duplicate rows.
  • Groupby, aggregation, and window functions.
  • Chunked processing and the migration path to Polars or DuckDB.

Inputs

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Pandas

  • What else does nimadorostkar publish alongside Pandas?

    Pandas is one of 50 skills that DirSkills catalogs from nimadorostkar/Claude-Skills-collection, the repository it ships in. Its siblings there include API Design, Agent Design and Agent Instructions. Each one is a separate skill with its own page in this directory, installs the same way Pandas does, and is maintained by nimadorostkar in that same repository. The rest of the collection is listed on the nimadorostkar/Claude-Skills-collection page.

  • How does Pandas compare to other Data skills?

    Pandas ranks #647 by stars among the 668 Data skills in this catalog. The most-starred ones next to it are Benchmark Methodology, Jupyter Notebook and Solana. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Pandas against them. Open each page to compare what they document and how they install.

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