GeoPandas Spatial Analysis
davila7/claude-code-templates
Handles vector geospatial data in Python with GeoPandas: reading shapefiles, GeoJSON and GeoPackage, reprojecting, spatial joins, overlays, clipping and maps.
A skill your agent uses when plotting GeoPandas data, building interactive maps, classifying choropleths, adding tile context, or geocoding and reverse-geocoding addresses.
Install Mapping Geocoding
$ npx skills add VectorSpaceLab/AREX-Skill --skill mapping-geocoding -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install VectorSpaceLab/AREX-Skill mapping-geocoding --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/sub-skills/mapping-geocoding .claude/skills/mapping-geocoding && 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 "mapping-geocoding" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/geopandas/sub-skills/mapping-geocoding into .claude/skills/mapping-geocoding/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mapping-geocoding", 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/geopandas/sub-skills/mapping-geocodingType 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 mapping-geocoding -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install VectorSpaceLab/AREX-Skill mapping-geocoding --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/sub-skills/mapping-geocoding .agents/skills/mapping-geocoding && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "mapping-geocoding" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/geopandas/sub-skills/mapping-geocoding into .agents/skills/mapping-geocoding/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mapping-geocoding", 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 mapping-geocoding -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install VectorSpaceLab/AREX-Skill mapping-geocoding --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/sub-skills/mapping-geocoding .cursor/skills/mapping-geocoding && 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 "mapping-geocoding" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/geopandas/sub-skills/mapping-geocoding into .cursor/skills/mapping-geocoding/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mapping-geocoding", 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/sub-skills/mapping-geocoding--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 mapping-geocoding -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install VectorSpaceLab/AREX-Skill mapping-geocoding --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/sub-skills/mapping-geocoding .gemini/skills/mapping-geocoding && 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 "mapping-geocoding" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/geopandas/sub-skills/mapping-geocoding into .gemini/skills/mapping-geocoding/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mapping-geocoding", 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 mapping-geocodingInstalls 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 mapping-geocoding -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/sub-skills/mapping-geocoding .github/skills/mapping-geocoding && 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 "mapping-geocoding" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/geopandas/sub-skills/mapping-geocoding into .github/skills/mapping-geocoding/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mapping-geocoding", 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 mapping-geocoding -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 mapping-geocoding --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/sub-skills/mapping-geocoding .opencode/skills/mapping-geocoding && 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 "mapping-geocoding" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/geopandas/sub-skills/mapping-geocoding into .opencode/skills/mapping-geocoding/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mapping-geocoding", 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
mapping-geocoding- GitHub stars
- 330
- Token cost
- ~914 tokens
- SKILL.md length
- 357 words
- Files
- 6 (incl. scripts, references)
- Skills in repo
- 159
- Repo updated
- First seen
- Licence
- BSD-3-Clause
At a glance
A skill your agent uses when plotting GeoPandas data, building interactive maps, classifying choropleths, adding tile context, or geocoding and reverse-geocoding addresses.
- Works in 6 steps: Check optional dependencies before… → Reproject to an appropriate display CRS… → Downsample or simplify large geometries… → …
- Plotting GeoPandas data
- SKILL.md covers Read First, Route Here When, Route Elsewhere and Default Operating Rules, plus 2 more sections
- Runs Python scripts from its folder; calls python
What it does
Mapping Geocoding is an agent skill from VectorSpaceLab/AREX-Skill. Use when plotting GeoPandas data, building interactive maps, classifying choropleths, adding tile context, or geocoding and reverse-geocoding addresses.
Its SKILL.md is about 910 tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including scripts and reference files (for example `references/troubleshooting.md`, `references/visualization-geocoding-reference.md` and `references/workflows.md`).
It sits in Data & Analytics, covering Geospatial analysis. It works with Matplotlib. The repository describes itself as: A Skill Library for Automated Machine Learning. The licence is BSD-3-Clause.
When your agent uses it
- Plotting GeoPandas data
- Building interactive maps
- Classifying choropleths
- Adding tile context
Example prompts
- “/mapping-geocoding”
Requirements
- Python 3
Workflow steps
6 steps, taken from the first numbered list in SKILL.md.
- Check optional dependencies before planning a map output. Static plots require matplotlib; interactive explore() workflows commonly need…
- Reproject to an appropriate display CRS when tiles or metric styling require it, but preserve original analysis data when needed.
- Downsample or simplify large geometries before interactive maps if performance matters.
- Treat geocoding as a network/service workflow. Specify provider, timeout, API key/credentials policy, rate limits, and terms of service.
- Do not call real geocoding providers in tests or smoke scripts. Use mocked provider behavior for validation.
- Keep map output expectations explicit: matplotlib Axes, folium map object, HTML file, or serialized vector data.
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 2 files 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
Mapping Geocoding loads about 914 tokens when it runs, and up to ~2.9k if it reads all its reference files. Until then it costs about 43 tokens; SKILL.md has 357 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). 357 words, ~914 tokens.
Download SKILL.mdSave it as
.claude/skills/mapping-geocoding/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.- name
- mapping-geocoding
- description
- Use when plotting GeoPandas data, building interactive maps, classifying choropleths, adding tile context, or geocoding and reverse-geocoding addresses.
- disable-model-invocation
- true
- metadata.disco-role
- operating
- license
- BSD 3-Clause
Mapping and Geocoding
Use this sub-skill when the task turns GeoPandas data into static/interactive maps or uses geocoding providers to convert between addresses and coordinates.
Read First
- Visualization and geocoding reference: API notes for
.plot(),.explore(), choropleths, classification, tiles,geocode, andreverse_geocode. - Workflows: recipes for static maps, interactive maps, optional-dependency checks, no-network geocoding tests, and safe provider usage.
- Troubleshooting: missing matplotlib/folium/mapclassify/geopy, display issues, CRS/tile problems, provider errors, rate limits, and API-key boundaries.
- check_mapping_optional_deps.py: reports optional visualization/geocoding modules.
- mock_geocode_smoke.py: validates GeoPandas geocoding result handling without calling a real provider.
Route Here When
- The user asks for
GeoDataFrame.plot,GeoSeries.plot, choropleth maps, legends, colormaps, classification schemes, or matplotlib axes handling. - The task mentions
GeoDataFrame.explore, folium, interactive HTML maps, tiles, mapclassify, basemaps, orxyzservicesproviders. - The task uses
geopandas.tools.geocode,reverse_geocode, geopy providers, provider kwargs, timeouts, rate limits, or address-to-point conversion. - The problem is an optional mapping/geocoding dependency error or a network/provider boundary.
Route Elsewhere
- Use
../core-data-model/SKILL.mdfor CRS assignment/reprojection and geometry-column repairs before plotting. - Use
../spatial-operations/SKILL.mdfor clipping, joins, dissolves, simplification, or metric preprocessing before map output. - Use
../io-formats/SKILL.mdfor saving map input/output vector data. - Use
../validation-testing/SKILL.mdfor assertions around map/geocode outputs.
Show full SKILL.md (169 more words)Show less
Default Operating Rules
- Check optional dependencies before planning a map output. Static plots require matplotlib; interactive
explore()workflows commonly need folium/branca/mapclassify and sometimes tile-provider packages. - Reproject to an appropriate display CRS when tiles or metric styling require it, but preserve original analysis data when needed.
- Downsample or simplify large geometries before interactive maps if performance matters.
- Treat geocoding as a network/service workflow. Specify provider, timeout, API key/credentials policy, rate limits, and terms of service.
- Do not call real geocoding providers in tests or smoke scripts. Use mocked provider behavior for validation.
- Keep map output expectations explicit: matplotlib
Axes, folium map object, HTML file, or serialized vector data.
Minimal Checks
python scripts/check_mapping_optional_deps.py --json
python scripts/mock_geocode_smoke.py --jsonThe mock geocode smoke returns success without network if geopy is available; if it is missing, it reports a skipped optional workflow unless --require-geopy is used.
Handoff
- Prepare and validate input layers with
core-data-modelandspatial-operationsbefore plotting. - Use
io-formatsfor input/output data files. - Use
validation-testingto compare expected geocoded GeoDataFrames or geometry outputs.
© 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 5 other files (scripts, references) in skills/repositories/repo-skills/geopandas/sub-skills/mapping-geocoding of VectorSpaceLab/AREX-Skill.
- SKILL.md
- references/troubleshooting.md
- references/visualization-geocoding-reference.md
- references/workflows.md
- scripts/check_mapping_optional_deps.py
- scripts/mock_geocode_smoke.py
Open the folder on GitHubat commit ac3fe1a
Compare with similar skills
Mapping Geocoding 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 |
|---|---|---|---|---|---|---|
| Mapping Geocoding this skillVectorSpaceLab/AREX-Skill | 330 | — | ~914 | Automated safety check: Pass | BSD-3-Clause | |
| GeoPandas Spatial Analysisdavila7/claude-code-templates | 32k | 10 repos | ~1.8k | Automated safety check: Pass | MIT | |
| MatplotlibzLanqing/codex-claude-academic-skills | 4.7k | 17 repos | ~2.9k | Automated safety check: Pass | MIT | |
| Scientific Visualizationmims-harvard/OptimusKG | 146 | 19 repos | ~6.3k | Automated safety check: Pass | MIT | |
| SeabornzLanqing/codex-claude-academic-skills | 4.7k | 15 repos | ~4.9k | Automated safety check: Pass | BSD-3-Clause | |
| Plot From DataTrae1ounG/paper-plot-skills | 869 | 1 repos | ~583 | Automated safety check: Pass | None |
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Works with
Categories
Questions about Mapping Geocoding
What does Mapping Geocoding do?
A skill your agent uses when plotting GeoPandas data, building interactive maps, classifying choropleths, adding tile context, or geocoding and reverse-geocoding addresses. Mapping Geocoding is an agent skill from VectorSpaceLab/AREX-Skill. Use when plotting GeoPandas data, building interactive maps, classifying choropleths, adding tile context, or geocoding and reverse-geocoding addresses.
When should I use Mapping Geocoding?
Mapping Geocoding fits situations like: plotting GeoPandas data; building interactive maps; classifying choropleths; adding tile context.
How do I install Mapping Geocoding in Claude Code?
Run `npx skills add VectorSpaceLab/AREX-Skill --skill mapping-geocoding -a claude-code`. Or copy the skill folder (skills/repositories/repo-skills/geopandas/sub-skills/mapping-geocoding in VectorSpaceLab/AREX-Skill) into .claude/skills/mapping-geocoding in your project. Claude Code loads it when a task matches its description.
How do I install Mapping Geocoding in Codex?
Run `npx skills add VectorSpaceLab/AREX-Skill --skill mapping-geocoding -a codex`. Or copy the skill folder (skills/repositories/repo-skills/geopandas/sub-skills/mapping-geocoding in VectorSpaceLab/AREX-Skill) into .agents/skills/mapping-geocoding in your project. Codex loads it when a task matches its description.
Can I use Mapping Geocoding 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 mapping-geocoding -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/mapping-geocoding, .gemini/skills/mapping-geocoding, .github/skills/mapping-geocoding and .opencode/skills/mapping-geocoding in your project.
What does Mapping Geocoding need to run?
Going by SKILL.md and its folder, Mapping Geocoding needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.
Does Mapping Geocoding 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 Mapping Geocoding 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 Mapping Geocoding use?
Mapping Geocoding 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 Mapping Geocoding use?
About 914 tokens (SKILL.md is roughly 3.7k 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 2k tokens, read only when the agent opens those files.
What are the alternatives to Mapping Geocoding?
Skills that share tags, products or a category with Mapping Geocoding: GeoPandas Spatial Analysis (davila7/claude-code-templates, 32k stars), Matplotlib (zLanqing/codex-claude-academic-skills, 4.7k stars), Scientific Visualization (mims-harvard/OptimusKG, 146 stars) and Seaborn (zLanqing/codex-claude-academic-skills, 4.7k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Mapping Geocoding?
VectorSpaceLab (a GitHub organization) maintains it in VectorSpaceLab/AREX-Skill, which has 330 GitHub stars. The repository holds 159 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.