Polars
K-Dense-AI/scientific-agent-skills
High-performance DataFrame library for Python ETL, analytics, and pandas migration.
Polars DataFrame library for high-performance data manipulation.
Install Polars
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill polars -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills polars --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/17-DAAF-Contribution-Community-daaf/dot-claude/skills/polars .claude/skills/polars && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "polars" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/17-DAAF-Contribution-Community-daaf/dot-claude/skills/polars into .claude/skills/polars/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "polars", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/17-DAAF-Contribution-Community-daaf/dot-claude/skills/polarsType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill polars -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills polars --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/17-DAAF-Contribution-Community-daaf/dot-claude/skills/polars .agents/skills/polars && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "polars" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/17-DAAF-Contribution-Community-daaf/dot-claude/skills/polars into .agents/skills/polars/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "polars", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill polars -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills polars --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/17-DAAF-Contribution-Community-daaf/dot-claude/skills/polars .cursor/skills/polars && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "polars" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/17-DAAF-Contribution-Community-daaf/dot-claude/skills/polars into .cursor/skills/polars/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "polars", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git --path skills/17-DAAF-Contribution-Community-daaf/dot-claude/skills/polars--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill polars -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills polars --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/17-DAAF-Contribution-Community-daaf/dot-claude/skills/polars .gemini/skills/polars && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "polars" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/17-DAAF-Contribution-Community-daaf/dot-claude/skills/polars into .gemini/skills/polars/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "polars", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills polarsInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill polars -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/17-DAAF-Contribution-Community-daaf/dot-claude/skills/polars .github/skills/polars && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "polars" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/17-DAAF-Contribution-Community-daaf/dot-claude/skills/polars into .github/skills/polars/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "polars", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill polars -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills polars --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/17-DAAF-Contribution-Community-daaf/dot-claude/skills/polars .opencode/skills/polars && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "polars" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/17-DAAF-Contribution-Community-daaf/dot-claude/skills/polars into .opencode/skills/polars/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "polars", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
polars- GitHub stars
- 4.6k
- Token cost
- ~2.9k tokens
- SKILL.md length
- 686 words
- Files
- 11 (incl. references)
- Skills in repo
- 383
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Polars DataFrame library for high-performance data manipulation.
- Works in 3 steps: New to Polars? Start with quickstart.md… → Coming from Pandas? Read quickstart.md,… → Performance issues? Check performance.md…
- Polars DataFrames
- SKILL.md covers What is Polars?, Version Notes, How to Use This Skill and Quick Decision Trees, plus 4 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Polars is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Polars DataFrame library for high-performance data manipulation. Lazy/eager execution, expressions, I/O (CSV, Parquet, JSON), aggregations, joins, string/datetime ops, pandas interop. Use for Polars DataFrames or reading/writing Parquet files.
Its SKILL.md is about 2.9k tokens, which your agent loads only when the skill is triggered. The skill folder holds 11 other files, including reference files (for example `references/aggregations-grouping.md`, `references/dataframes-series.md` and `references/expressions.md`).
It sits in Data & Analytics, covering DataFrames. It works with Polars, pandas and Rust. The repository describes itself as: 🔬 A curated collection of 23,000+ agent skills for empirical research across 8 social science disciplines. | 精选 23,000+ AI Agent 技能库，覆盖8大社会科学学科的实证研究。CoPaper.AI…
When your agent uses it
- Polars DataFrames
- Reading/writing Parquet files
Example prompts
- “Use the polars skill to polar DataFrame library for high-performance data manipulation”
- “/polars”
Requirements
- Python 3
Workflow steps
3 steps, taken from the first numbered list in SKILL.md.
- New to Polars? Start with quickstart.md then expressions.md
- Coming from Pandas? Read quickstart.md, expressions.md, then interop.md
- Performance issues? Check performance.md first
What it can do on your machine
Read from SKILL.md and the folder at commit 9fa87d8. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are python).
From the folder's file list and the shell code blocks in SKILL.md.
Network
Links to these hosts (documentation or services it may open):
pola.rs
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Polars loads about 2.9k tokens when it runs, and up to ~25k if it reads all its reference files. Until then it costs about 63 tokens; SKILL.md has 686 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 686 words (~2,942 tokens).
“Polars DataFrame library for high-performance data manipulation in Python. Covers lazy/eager execution, expressions, I/O (CSV, Parquet, JSON, database), aggregations, joins, string/datetime operations, pandas/NumPy interop, and performance optimization. Use when working with Polars DataFrames, migrating from pandas, reading Parquet files, or…”
- name
- polars
- metadata.audience
- research-coders
- metadata.domain
- python-library
- metadata.library-version
- 1.x
- metadata.skill-last-updated
- 2026-03-26
Files
SKILL.md and 10 other files (references) in skills/17-DAAF-Contribution-Community-daaf/dot-claude/skills/polars of brycewang-stanford/Auto-Empirical-Research-Skills.
- SKILL.md
- references/aggregations-grouping.md
- references/dataframes-series.md
- references/expressions.md
- references/gotchas.md
- references/interop.md
- references/io-data.md
- references/joins-concat.md
- references/performance.md
- references/quickstart.md
- references/strings-datetime-categorical.md
Open the folder on GitHubat commit 9fa87d8
Compare with similar skills
Polars next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Polars this skillbrycewang-stanford/Auto-Empirical-Research-Skills | 4.6k | — | ~2.9k | Automated safety check: Pass | Custom licence | |
| PolarsK-Dense-AI/scientific-agent-skills | 48k | 1 repos | ~3.3k | Automated safety check: Pass | MIT | |
| Transforming Dataancoleman/ai-design-components | 525 | — | ~3k | Automated safety check: Pass | MIT | |
| Plot ML Figureprobabl-ai/skills | 138 | — | ~796 | Automated safety check: Pass | BSD-3-Clause | |
| Python Pipelinejamditis/claude-skills-journalism | 416 | — | ~4.8k | Automated safety check: Pass | MIT | |
| Polars Dataframesjaechang-hits/SciAgent-Skills | 374 | — | ~6.4k | Automated safety check: Pass | MIT |
Similar skills
Transforming Data
ancoleman/ai-design-components
Transform raw data into analytical assets using ETL/ELT patterns, SQL (dbt), Python (pandas/polars/PySpark), and orchestration (Airflow).
Plot ML Figure
probabl-ai/skills
Pick how to write a figure before custom plot code. An agent skill from probabl-ai/skills.
Python Pipeline
jamditis/claude-skills-journalism
Python data pipelines with modular architecture. An agent skill from jamditis/claude-skills-journalism.
Polars Dataframes
jaechang-hits/SciAgent-Skills
Fast in-memory DataFrame with lazy evaluation, parallel execution, Arrow backend.
Dask Parallel Computing
jaechang-hits/SciAgent-Skills
Parallel/distributed computing for larger-than-RAM data. An agent skill from jaechang-hits/SciAgent-Skills.
More from brycewang-stanford/Auto-Empirical-Research-Skills
All 383 skills in this repoAer Consistency
brycewang-stanford/Auto-Empirical-Research-Skills
A skill your agent uses when auditing a finished or near-finished AER, AER:Insights, or AEJ manuscript for internal consistency: headline numbers across abstract, introduction, results, and tables…
Latex Paper En
brycewang-stanford/Auto-Empirical-Research-Skills
English LaTeX academic paper assistant for existing .tex projects.
Bayesian Workflow
brycewang-stanford/Auto-Empirical-Research-Skills
Opinionated Bayesian modeling workflow with PyMC and ArviZ. An agent skill from brycewang-stanford/Auto-Empirical-Research-Skills.
Daily Paper Generator
brycewang-stanford/Auto-Empirical-Research-Skills
A skill your agent uses when the user asks to "generate daily paper", "search arXiv for EEG papers", "find EEG decoding papers", "review brain-computer interface papers", or wants to create paper…
Five Questions
brycewang-stanford/Auto-Empirical-Research-Skills
Deeply analyze any empirical economics PDF using the five-question framework (五问框架): research question, identification strategy, core estimand, robustness logic, and scholarly contribution.
Kaggle Research
brycewang-stanford/Auto-Empirical-Research-Skills
A skill your agent uses when a research task needs reproducible Kaggle discovery, metadata inspection, bounded public-data downloads, competition or kernel discovery, model discovery, or an…
Related
Categories
Questions about Polars
What does Polars do?
Polars DataFrame library for high-performance data manipulation. Polars is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Polars DataFrame library for high-performance data manipulation.
When should I use Polars?
Polars fits situations like: polars DataFrames; reading/writing Parquet files.
How do I install Polars in Claude Code?
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill polars -a claude-code`. Or copy the skill folder (skills/17-DAAF-Contribution-Community-daaf/dot-claude/skills/polars in brycewang-stanford/Auto-Empirical-Research-Skills) into .claude/skills/polars in your project. Claude Code loads it when a task matches its description.
How do I install Polars in Codex?
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill polars -a codex`. Or copy the skill folder (skills/17-DAAF-Contribution-Community-daaf/dot-claude/skills/polars in brycewang-stanford/Auto-Empirical-Research-Skills) into .agents/skills/polars in your project. Codex loads it when a task matches its description.
Can I use Polars in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill polars -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/polars, .gemini/skills/polars, .github/skills/polars and .opencode/skills/polars in your project.
What does Polars need to run?
SKILL.md names no scripts, command-line tools or credentials: Polars is instructions for the agent only. Our summary lists: Python 3.
Does Polars access the network?
SKILL.md names 1 domain. As links in the text: pola.rs. This is read from the text; nothing was executed.
Is Polars safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Polars use?
Polars has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
How many tokens does Polars use?
About 2.9k tokens (SKILL.md is roughly 12k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 22k tokens, read only when the agent opens those files.
What are the alternatives to Polars?
Skills that share tags, products or a category with Polars: Polars (K-Dense-AI/scientific-agent-skills, 48k stars), Transforming Data (ancoleman/ai-design-components, 525 stars), Plot ML Figure (probabl-ai/skills, 138 stars) and Python Pipeline (jamditis/claude-skills-journalism, 416 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Polars?
brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Auto-Empirical-Research-Skills, which has 4,556 GitHub stars. The repository holds 383 skills in this directory. The repository was last updated on October 5, 2026.
Source: brycewang-stanford/Auto-Empirical-Research-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.