Antv L7
antvis/L7
Comprehensive guide for AntV L7 geospatial visualization library.
A skill your agent uses when working with GeoPandas GeoDataFrame and GeoSeries workflows, vector geospatial I/O, CRS-aware spatial operations, mapping, geocoding, and GeoPandas-specific validation.
Install Geopandas
$ npx skills add VectorSpaceLab/AREX-Skill --skill geopandas -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install VectorSpaceLab/AREX-Skill geopandas --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/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/repositories/repo-skills/geopandas .claude/skills/geopandas && 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 "geopandas" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/geopandas into .claude/skills/geopandas/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "geopandas", 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/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/geopandasType 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 VectorSpaceLab/AREX-Skill --skill geopandas -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install VectorSpaceLab/AREX-Skill geopandas --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/repositories/repo-skills/geopandas .agents/skills/geopandas && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "geopandas" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/geopandas into .agents/skills/geopandas/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "geopandas", 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 VectorSpaceLab/AREX-Skill --skill geopandas -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install VectorSpaceLab/AREX-Skill geopandas --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/repositories/repo-skills/geopandas .cursor/skills/geopandas && 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 "geopandas" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/geopandas into .cursor/skills/geopandas/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "geopandas", 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/VectorSpaceLab/AREX-Skill.git --path skills/repositories/repo-skills/geopandas--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 VectorSpaceLab/AREX-Skill --skill geopandas -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install VectorSpaceLab/AREX-Skill geopandas --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/repositories/repo-skills/geopandas .gemini/skills/geopandas && 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 "geopandas" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/geopandas into .gemini/skills/geopandas/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "geopandas", 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 VectorSpaceLab/AREX-Skill geopandasInstalls 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 VectorSpaceLab/AREX-Skill --skill geopandas -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/repositories/repo-skills/geopandas .github/skills/geopandas && 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 "geopandas" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/geopandas into .github/skills/geopandas/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "geopandas", 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 VectorSpaceLab/AREX-Skill --skill geopandas -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install VectorSpaceLab/AREX-Skill geopandas --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/repositories/repo-skills/geopandas .opencode/skills/geopandas && 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 "geopandas" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/geopandas into .opencode/skills/geopandas/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "geopandas", 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
geopandas- GitHub stars
- 331
- Token cost
- ~1.1k tokens
- SKILL.md length
- 405 words
- Files
- 7 (incl. scripts, references)
- Skills in repo
- 157
- Repo updated
- First seen
- Licence
- BSD-3-Clause
At a glance
A skill your agent uses when working with GeoPandas GeoDataFrame and GeoSeries workflows, vector geospatial I/O, CRS-aware spatial operations, mapping, geocoding, and GeoPandas-specific validation.
- Works in 5 steps: Use core-data-model to create/repair… → Use io-formats to load inputs or persist… → Use spatial-operations for analysis and… → …
- Working with GeoPandas GeoDataFrame and GeoSeries workflows
- SKILL.md covers Start Here, Installation and Import Check, Sub-skill Routes and Workflow Order, plus 2 more sections
- Runs Python scripts from its folder; calls python
What it does
Geopandas is an agent skill from VectorSpaceLab/AREX-Skill. Use when working with GeoPandas GeoDataFrame and GeoSeries workflows, vector geospatial I/O, CRS-aware spatial operations, mapping, geocoding, and GeoPandas-specific validation.
Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 8 other files, including scripts and reference files (for example `references/package-overview.md`, `references/repo-provenance.md` and `references/repo-routing-metadata.json`).
It sits in Data & Analytics, covering Geospatial analysis. The repository describes itself as: A Skill Library for Automated Machine Learning. The licence is BSD-3-Clause.
When your agent uses it
- Working with GeoPandas GeoDataFrame and GeoSeries workflows
- Vector geospatial I/O
- CRS-aware spatial operations
- GeoPandas-specific validation
Example prompts
- “/geopandas”
Requirements
- Python 3
Workflow steps
5 steps, taken from the first numbered list in SKILL.md.
- Use core-data-model to create/repair objects and validate CRS/geometry quality.
- Use io-formats to load inputs or persist outputs when file/database formats are involved.
- Use spatial-operations for analysis and geometry transformations.
- Use mapping-geocoding only when rendering maps or calling geocoding providers is part of the deliverable.
- Use validation-testing to assert results or maintain the repository.
What it can do on your machine
Read from SKILL.md and the folder at commit ac3fe1a. 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
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
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 1.1k tokens when it runs, and up to ~3.5k if it reads all its reference files. Until then it costs about 47 tokens; SKILL.md has 405 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); the scripts in this folder are not scanned.
SKILL.md
The full file from VectorSpaceLab/AREX-Skill at commit ac3fe1a, republished under its BSD-3-Clause licence (© VectorSpaceLab). 405 words, ~1,116 tokens.
Download SKILL.mdSave it as
.claude/skills/geopandas/SKILL.md (or your agent's skills folder). This skill also uses 6 other files; get the full folder from GitHub.- name
- geopandas
- description
- Use when working with GeoPandas GeoDataFrame and GeoSeries workflows, vector geospatial I/O, CRS-aware spatial operations, mapping, geocoding, and GeoPandas-specific validation.
- disable-model-invocation
- true
- metadata.disco-role
- operating
- license
- BSD 3-Clause
GeoPandas Repo Skill
Use this skill when a task needs package-specific guidance for GeoPandas, the Python library that extends pandas with Shapely geometry columns, CRS-aware GeoSeries/GeoDataFrame objects, vector I/O, spatial analysis, mapping, geocoding, and geometry-aware testing.
Start Here
- Package overview: shared GeoPandas concepts, base versus optional dependencies, object rules, and optional workflow matrix.
- Cross-cutting troubleshooting: install/import, optional dependency, CRS, geometry validity, and no-CLI issues.
- Repository provenance: source snapshot and refresh criteria for this generated skill.
- check_geopandas_environment.py: safe import/dependency and tiny GeoDataFrame/spatial-join smoke checker.
Installation and Import Check
GeoPandas requires Python 3.11+ for this snapshot. A base install should provide numpy, pandas, shapely, pyproj, pyogrio, and packaging.
import geopandas as gpd
from shapely.geometry import Point
gdf = gpd.GeoDataFrame({"name": ["a"], "geometry": [Point(0, 0)]}, crs="EPSG:4326")
assert gdf.crs.to_string() == "EPSG:4326"For environment diagnostics from this skill directory:
python scripts/check_geopandas_environment.py --jsonSub-skill Routes
| Task signal | Read |
|---|---|
Constructing or repairing GeoDataFrame/GeoSeries, active geometry columns, CRS metadata, set_crs versus to_crs, missing/empty geometry, coordinate access, spatial-index basics | core-data-model |
Reading or writing files, GeoJSON, GPKG, WKB/WKT, Arrow, Parquet, Feather, GeoParquet/GeoArrow, PostGIS, pyogrio/Fiona, bbox/mask/columns/rows filters | io-formats |
| Spatial joins, nearest joins, overlays, clips, dissolves, predicates, buffers, distance/area, invalid geometry repair, spatial-index queries, vector analysis pipelines | spatial-operations |
Static .plot(), interactive .explore(), choropleths, folium/mapclassify/tile dependencies, geocoding, reverse geocoding, provider/network issues | mapping-geocoding |
geopandas.testing assertions, expected GeoDataFrame fixtures, equality tolerances, focused pytest selection, optional dependency test triage, repository-maintainer validation | validation-testing |
Workflow Order
- Use
core-data-modelto create/repair objects and validate CRS/geometry quality. - Use
io-formatsto load inputs or persist outputs when file/database formats are involved. - Use
spatial-operationsfor analysis and geometry transformations. - Use
mapping-geocodingonly when rendering maps or calling geocoding providers is part of the deliverable. - Use
validation-testingto assert results or maintain the repository.
Show full SKILL.md (143 more words)Show less
Common Decisions
- Use
set_crs()only to assign known CRS metadata to existing coordinates; useto_crs()to transform coordinates. - Reproject to a suitable projected CRS before metric distances, areas, buffers, nearest thresholds, or distance columns.
- Prefer base pyogrio I/O unless the task specifically needs optional Fiona behavior.
- Treat
pyarrow, SQL/PostGIS, matplotlib, folium, mapclassify, geopy, and tile/basemap packages as optional workflow dependencies. - Do not call real geocoding providers, database services, or remote URLs in smoke tests unless the user explicitly authorizes network/service use.
- GeoPandas is primarily a Python API package; route command-line requests to bundled diagnostic scripts or a small public-API wrapper.
Safety and Self-containment
The bundled references and scripts are sufficient for common GeoPandas operation without reopening the source checkout. Runtime scripts use tiny fixtures, temporary directories, or import checks and avoid network, credentials, destructive database writes, large notebooks, and benchmark-scale tasks by default.
© VectorSpaceLab, BSD-3-Clause. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 6 other files (scripts, references) in skills/repositories/repo-skills/geopandas of VectorSpaceLab/AREX-Skill.
- SKILL.md
- references/package-overview.md
- references/repo-provenance.md
- references/repo-routing-metadata.json
- references/troubleshooting.md
- scripts/check_geopandas_environment.py
- sub-skills
Open the folder on GitHubat commit ac3fe1a
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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Geopandas this skillVectorSpaceLab/AREX-Skill | 331 | — | ~1.1k | Automated safety check: Pass | BSD-3-Clause | |
| Antv L7antvis/L7 | 4.1k | — | ~1.4k | Automated safety check: Pass | MIT | |
| Portaljs Add Geodatopian/portaljs | 2.4k | 1 repos | ~1.7k | Automated safety check: Pass | MIT | |
| Thematic Mapzzhonglei/GeoCode-Release | 189 | — | ~3.1k | Automated safety check: Pass | MIT | |
| Rs Paper Pipelinethinson/RS-PaperClaw | 230 | — | ~319 | Automated safety check: Pass | MIT | |
| Remote Sensing Research Radarlimi124/remote-sensing-research-radar | 143 | — | ~1.3k | Automated safety check: Pass | None |
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Related
Categories
Questions about Geopandas
What does Geopandas do?
A skill your agent uses when working with GeoPandas GeoDataFrame and GeoSeries workflows, vector geospatial I/O, CRS-aware spatial operations, mapping, geocoding, and GeoPandas-specific validation. Geopandas is an agent skill from VectorSpaceLab/AREX-Skill. Use when working with GeoPandas GeoDataFrame and GeoSeries workflows, vector geospatial I/O, CRS-aware spatial operations, mapping, geocoding, and GeoPandas-specific validation.
When should I use Geopandas?
Geopandas fits situations like: working with GeoPandas GeoDataFrame and GeoSeries workflows; vector geospatial I/O; CRS-aware spatial operations; geoPandas-specific validation.
How do I install Geopandas in Claude Code?
Run `npx skills add VectorSpaceLab/AREX-Skill --skill geopandas -a claude-code`. Or copy the skill folder (skills/repositories/repo-skills/geopandas in VectorSpaceLab/AREX-Skill) 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 VectorSpaceLab/AREX-Skill --skill geopandas -a codex`. Or copy the skill folder (skills/repositories/repo-skills/geopandas in VectorSpaceLab/AREX-Skill) 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 VectorSpaceLab/AREX-Skill --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?
Going by SKILL.md and its folder, Geopandas needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.
Does Geopandas access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Geopandas use?
Geopandas is published under the BSD-3-Clause licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Geopandas use?
About 1.1k tokens (SKILL.md is roughly 4.5k 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 2.4k 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: Antv L7 (antvis/L7, 4.1k stars), Portaljs Add Geo (datopian/portaljs, 2.4k stars), Thematic Map (zzhonglei/GeoCode-Release, 189 stars) and Rs Paper Pipeline (thinson/RS-PaperClaw, 230 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Geopandas?
VectorSpaceLab (a GitHub organization) maintains it in VectorSpaceLab/AREX-Skill, which has 331 GitHub stars. The repository holds 157 skills in this directory. The repository was last updated on September 3, 2026.
Source: VectorSpaceLab/AREX-Skill on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.