Spatial data: GeoDataFrames, spatial joins, CRS/projections, choropleth/interactive maps, spatial autocorrelation, PySAL.

Custom licenceAuto-check passedData & Analytics

Install Geopandas

skills CLI
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill geopandas -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills geopandas --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ 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/geopandas .claude/skills/geopandas && rm -rf skills-src

Use ~/.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/

Facts

Skill name
geopandas
GitHub stars
4.6k
Token cost
~3.5k tokens
SKILL.md length
959 words
Files
9 (incl. references)
Skills in repo
383
Repo updated
First seen
Licence
Custom licence

At a glance

Spatial data: GeoDataFrames, spatial joins, CRS/projections, choropleth/interactive maps, spatial autocorrelation, PySAL.

  • Works in 4 steps: New to geopandas? Start with… → Making maps? Read visualization.md… → Spatial statistics? Read… → …
  • Geographic data
  • SKILL.md covers Version Notes, What is GeoPandas?, How to Use This Skill and Related Skills, plus 5 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Geopandas is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Spatial data: GeoDataFrames, spatial joins, CRS/projections, choropleth/interactive maps, spatial autocorrelation, PySAL. Use for geographic data, spatial files (Shapefile, GeoPackage, GeoParquet), or spatial stats. For charts without GIS use plotly.

Its SKILL.md is about 3.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 9 other files, including reference files (for example `references/crs-projections.md`, `references/data-io.md` and `references/gotchas.md`).

It sits in Data & Analytics, covering Geospatial analysis and Data visualization. It works with Plotly. 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

  • Geographic data
  • Spatial files (Shapefile

Example prompts

  • “/geopandas”

Requirements

  • Python 3

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. New to geopandas? Start with quickstart.md then spatial-operations.md
  2. Making maps? Read visualization.md (relies on crs-projections.md for projection choices)
  3. Spatial statistics? Read pysal-spatial-stats.md (for methodology context, also load data-scientist skill's geospatial-analysis.md)
  4. Having issues? Check gotchas.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):

    • geopandas.org

    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

Geopandas loads about 3.5k tokens when it runs, and up to ~25k if it reads all its reference files. Until then it costs about 65 tokens; SKILL.md has 959 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~65
When it runs · the whole SKILL.md, loaded when a task matches
~3.5k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~25k

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 959 words (~3,469 tokens).

“geopandas spatial data library for Python: manipulation, analysis, and visualization of geographic data. Covers GeoDataFrames, spatial joins, CRS/projections, vector operations, raster integration (rasterio, xarray), choropleth mapping, interactive maps (folium), basemap tiles (contextily), spatial autocorrelation, and the PySAL ecosystem. Use when…”

— opening of SKILL.md by brycewang-stanford, Custom licence
name
geopandas
metadata.audience
research-coders
metadata.domain
python-library
metadata.library-version
1.1.3
metadata.skill-last-updated
2026-03-28

Read the full SKILL.md on GitHub

Files

SKILL.md and 8 other files (references) in skills/17-DAAF-Contribution-Community-daaf/dot-claude/skills/geopandas of brycewang-stanford/Auto-Empirical-Research-Skills.

  • SKILL.md
  • references/crs-projections.md
  • references/data-io.md
  • references/gotchas.md
  • references/pysal-spatial-stats.md
  • references/quickstart.md
  • references/raster-integration.md
  • references/spatial-operations.md
  • references/visualization.md

Open the folder on GitHubat commit 9fa87d8

Compare with similar skills

Geopandas 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.

Geopandas compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Geopandas this skillbrycewang-stanford/Auto-Empirical-Research-Skills4.6k—~3.5kAutomated safety check: PassCustom licence
MatplotlibzLanqing/codex-claude-academic-skills4.7k17 repos~2.9kAutomated safety check: PassMIT
Scientific Visualizationmims-harvard/OptimusKG14719 repos~6.3kAutomated safety check: PassMIT
SeabornzLanqing/codex-claude-academic-skills4.7k15 repos~4.9kAutomated safety check: PassBSD-3-Clause
Academic Figure SkillTingxiYu/academic-figure-skill4831 repos~7kAutomated safety check: PassApache-2.0
Paper FiguresEvoScientist/EvoSkills4781 repos~4.4kAutomated safety check: PassApache-2.0

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Works with

Questions about Geopandas

What does Geopandas do?

Spatial data: GeoDataFrames, spatial joins, CRS/projections, choropleth/interactive maps, spatial autocorrelation, PySAL. Geopandas is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Spatial data: GeoDataFrames, spatial joins, CRS/projections, choropleth/interactive maps, spatial autocorrelation, PySAL.

When should I use Geopandas?

Geopandas fits situations like: geographic data; spatial files (Shapefile.

How do I install Geopandas in Claude Code?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill geopandas -a claude-code`. Or copy the skill folder (skills/17-DAAF-Contribution-Community-daaf/dot-claude/skills/geopandas in brycewang-stanford/Auto-Empirical-Research-Skills) into .claude/skills/geopandas in your project. Claude Code loads it when a task matches its description.

How do I install Geopandas in Codex?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill geopandas -a codex`. Or copy the skill folder (skills/17-DAAF-Contribution-Community-daaf/dot-claude/skills/geopandas in brycewang-stanford/Auto-Empirical-Research-Skills) into .agents/skills/geopandas in your project. Codex loads it when a task matches its description.

Can I use Geopandas 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 geopandas -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/geopandas, .gemini/skills/geopandas, .github/skills/geopandas and .opencode/skills/geopandas in your project.

What does Geopandas need to run?

SKILL.md names no scripts, command-line tools or credentials: Geopandas is instructions for the agent only. Our summary lists: Python 3.

Does Geopandas access the network?

SKILL.md names 1 domain. As links in the text: geopandas.org. This is read from the text; nothing was executed.

Is Geopandas 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 Geopandas use?

Geopandas 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 Geopandas use?

About 3.5k tokens (SKILL.md is roughly 14k 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 Geopandas?

Skills that share tags, products or a category with Geopandas: Matplotlib (zLanqing/codex-claude-academic-skills, 4.7k stars), Scientific Visualization (mims-harvard/OptimusKG, 147 stars), Seaborn (zLanqing/codex-claude-academic-skills, 4.7k stars) and Academic Figure Skill (TingxiYu/academic-figure-skill, 483 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Geopandas?

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.