Antv L7
antvis/L7
Comprehensive guide for AntV L7 geospatial visualization library.
A skill your agent uses when running GeoPandas spatial joins, nearest joins, overlays, clips, dissolves, spatial indexes, and Shapely-backed geometry analysis operations.
Install Spatial Operations
$ npx skills add VectorSpaceLab/AREX-Skill --skill spatial-operations -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install VectorSpaceLab/AREX-Skill spatial-operations --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/spatial-operations .claude/skills/spatial-operations && 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 "spatial-operations" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/geopandas/sub-skills/spatial-operations into .claude/skills/spatial-operations/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "spatial-operations", 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/spatial-operationsType 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 spatial-operations -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install VectorSpaceLab/AREX-Skill spatial-operations --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/spatial-operations .agents/skills/spatial-operations && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "spatial-operations" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/geopandas/sub-skills/spatial-operations into .agents/skills/spatial-operations/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "spatial-operations", 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 spatial-operations -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install VectorSpaceLab/AREX-Skill spatial-operations --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/spatial-operations .cursor/skills/spatial-operations && 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 "spatial-operations" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/geopandas/sub-skills/spatial-operations into .cursor/skills/spatial-operations/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "spatial-operations", 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/spatial-operations--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 spatial-operations -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install VectorSpaceLab/AREX-Skill spatial-operations --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/spatial-operations .gemini/skills/spatial-operations && 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 "spatial-operations" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/geopandas/sub-skills/spatial-operations into .gemini/skills/spatial-operations/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "spatial-operations", 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 spatial-operationsInstalls 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 spatial-operations -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/spatial-operations .github/skills/spatial-operations && 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 "spatial-operations" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/geopandas/sub-skills/spatial-operations into .github/skills/spatial-operations/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "spatial-operations", 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 spatial-operations -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 spatial-operations --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/spatial-operations .opencode/skills/spatial-operations && 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 "spatial-operations" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/geopandas/sub-skills/spatial-operations into .opencode/skills/spatial-operations/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "spatial-operations", 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
spatial-operations- GitHub stars
- 328
- Token cost
- ~884 tokens
- SKILL.md length
- 353 words
- Files
- 5 (incl. scripts, references)
- Skills in repo
- 157
- Repo updated
- First seen
- Licence
- BSD-3-Clause
At a glance
A skill your agent uses when running GeoPandas spatial joins, nearest joins, overlays, clips, dissolves, spatial indexes, and Shapely-backed geometry analysis operations.
- Works in 6 steps: Inspect .crs on every input before… → For metric operations (buffer, distance,… → Validate polygon inputs before overlay… → …
- Running GeoPandas spatial joins
- 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
Spatial Operations is an agent skill from VectorSpaceLab/AREX-Skill. Use when running GeoPandas spatial joins, nearest joins, overlays, clips, dissolves, spatial indexes, and Shapely-backed geometry analysis operations.
Its SKILL.md is about 880 tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including scripts and reference files (for example `references/operations-reference.md`, `references/troubleshooting.md` and `references/workflows.md`).
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
- Running GeoPandas spatial joins
- Spatial indexes
- Shapely-backed geometry analysis operations
Example prompts
- “/spatial-operations”
Requirements
- Python 3
Workflow steps
6 steps, taken from the first numbered list in SKILL.md.
- Inspect .crs on every input before combining layers. Reproject, do not override, when coordinates need transformation.
- For metric operations (buffer, distance, dwithin, nearest thresholds), use a projected CRS with linear units.
- Validate polygon inputs before overlay or union. Use make_valid() when invalid geometry is an expected data-quality issue.
- Choose the predicate intentionally: intersects is broad; within/contains are directional; boundary-only relationships may surprise users.
- Expect join and overlay outputs to change row counts and add suffixes/index columns. Document cardinality and column naming.
- Use .sindex.valid_query_predicates to discover available spatial index predicates in the current environment.
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
Spatial Operations loads about 884 tokens when it runs, and up to ~3.2k if it reads all its reference files. Until then it costs about 42 tokens; SKILL.md has 353 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). 353 words, ~884 tokens.
Download SKILL.mdSave it as
.claude/skills/spatial-operations/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.- name
- spatial-operations
- description
- Use when running GeoPandas spatial joins, nearest joins, overlays, clips, dissolves, spatial indexes, and Shapely-backed geometry analysis operations.
- disable-model-invocation
- true
- metadata.disco-role
- operating
- license
- BSD 3-Clause
Spatial Operations
Use this sub-skill when the task combines, filters, aggregates, or transforms geometries with GeoPandas analysis APIs.
Read First
- Operations reference: verified signatures and parameter notes for joins, overlay, clip, dissolve, spatial index, and common geometry methods.
- Workflows: recipes for CRS-safe joins, nearest analysis, overlay/clip, dissolve, invalid-geometry repair, and metric operations.
- Troubleshooting: fixes for CRS mismatch, unexpected join cardinality, invalid geometries, empty overlays, distance warnings, and spatial-index confusion.
- spatial_operations_smoke.py: tiny deterministic check covering
sjoin,overlay,clip,dissolve, and.sindex.
Route Here When
- The task mentions
sjoin,GeoDataFrame.sjoin,sjoin_nearest,predicate,lsuffix,rsuffix,distance_col, or spatial predicates. - The task asks for
overlay, set operations (intersection,union,identity,symmetric_difference,difference),keep_geom_type,make_valid, or polygon validity repair. - The task uses
clip,dissolve,explode,union_all,intersection_all,buffer,distance,dwithin,contains,within,intersects,nearest, or spatial index queries. - The user needs to choose a projected CRS for metric analysis, use a spatial index explicitly, or reason about output row/cardinality behavior.
Route Elsewhere
- Use
../core-data-model/SKILL.mdto create GeoDataFrames, repair active geometry columns, or understand CRS assignment versus reprojection basics. - Use
../io-formats/SKILL.mdto read/write layers before or after operations. - Use
../mapping-geocoding/SKILL.mdto visualize operation results. - Use
../validation-testing/SKILL.mdfor equality assertions or focused native tests.
Show full SKILL.md (156 more words)Show less
Default Operating Rules
- Inspect
.crson every input before combining layers. Reproject, do not override, when coordinates need transformation. - For metric operations (
buffer,distance,dwithin, nearest thresholds), use a projected CRS with linear units. - Validate polygon inputs before overlay or union. Use
make_valid()when invalid geometry is an expected data-quality issue. - Choose the predicate intentionally:
intersectsis broad;within/containsare directional; boundary-only relationships may surprise users. - Expect join and overlay outputs to change row counts and add suffixes/index columns. Document cardinality and column naming.
- Use
.sindex.valid_query_predicatesto discover available spatial index predicates in the current environment.
Minimal Check
python scripts/spatial_operations_smoke.pyExpected high-level signal: the script reports successful spatial join, overlay, clip, dissolve, and spatial-index assertions on tiny in-memory geometries.
Handoff
- Validate objects and CRS with
core-data-modelfirst when inputs are uncertain. - Persist operation outputs with
io-formatsonly after verifying CRS and geometry validity. - Use
mapping-geocodingfor visualization andvalidation-testingfor assertion-backed comparisons.
© 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 4 other files (scripts, references) in skills/repositories/repo-skills/geopandas/sub-skills/spatial-operations of VectorSpaceLab/AREX-Skill.
- SKILL.md
- references/operations-reference.md
- references/troubleshooting.md
- references/workflows.md
- scripts/spatial_operations_smoke.py
Open the folder on GitHubat commit ac3fe1a
Compare with similar skills
Spatial Operations 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 |
|---|---|---|---|---|---|---|
| Spatial Operations this skillVectorSpaceLab/AREX-Skill | 328 | — | ~884 | Automated safety check: Pass | BSD-3-Clause | |
| Antv L7antvis/L7 | 4.1k | — | ~1.4k | Automated safety check: Pass | MIT | |
| Geo SleuthOldcircle/geo-sleuth | 1.3k | — | ~6.1k | Automated safety check: Pass | MIT | |
| Portaljs Add Geodatopian/portaljs | 2.4k | 1 repos | ~1.7k | Automated safety check: Pass | MIT | |
| Thematic Mapzzhonglei/GeoCode-Release | 187 | — | ~3.1k | Automated safety check: Pass | MIT | |
| Rs Paper Pipelinethinson/RS-PaperClaw | 227 | — | ~319 | Automated safety check: Pass | MIT |
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Categories
Questions about Spatial Operations
What does Spatial Operations do?
A skill your agent uses when running GeoPandas spatial joins, nearest joins, overlays, clips, dissolves, spatial indexes, and Shapely-backed geometry analysis operations. Spatial Operations is an agent skill from VectorSpaceLab/AREX-Skill. Use when running GeoPandas spatial joins, nearest joins, overlays, clips, dissolves, spatial indexes, and Shapely-backed geometry analysis operations.
When should I use Spatial Operations?
Spatial Operations fits situations like: running GeoPandas spatial joins; spatial indexes; shapely-backed geometry analysis operations.
How do I install Spatial Operations in Claude Code?
Run `npx skills add VectorSpaceLab/AREX-Skill --skill spatial-operations -a claude-code`. Or copy the skill folder (skills/repositories/repo-skills/geopandas/sub-skills/spatial-operations in VectorSpaceLab/AREX-Skill) into .claude/skills/spatial-operations in your project. Claude Code loads it when a task matches its description.
How do I install Spatial Operations in Codex?
Run `npx skills add VectorSpaceLab/AREX-Skill --skill spatial-operations -a codex`. Or copy the skill folder (skills/repositories/repo-skills/geopandas/sub-skills/spatial-operations in VectorSpaceLab/AREX-Skill) into .agents/skills/spatial-operations in your project. Codex loads it when a task matches its description.
Can I use Spatial Operations 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 spatial-operations -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/spatial-operations, .gemini/skills/spatial-operations, .github/skills/spatial-operations and .opencode/skills/spatial-operations in your project.
What does Spatial Operations need to run?
Going by SKILL.md and its folder, Spatial Operations needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.
Does Spatial Operations 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 Spatial Operations 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 Spatial Operations use?
Spatial Operations 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 Spatial Operations use?
About 884 tokens (SKILL.md is roughly 3.5k 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 2.3k tokens, read only when the agent opens those files.
What are the alternatives to Spatial Operations?
Skills that share tags, products or a category with Spatial Operations: Antv L7 (antvis/L7, 4.1k stars), Geo Sleuth (Oldcircle/geo-sleuth, 1.3k stars), Portaljs Add Geo (datopian/portaljs, 2.4k stars) and Thematic Map (zzhonglei/GeoCode-Release, 187 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Spatial Operations?
VectorSpaceLab (a GitHub organization) maintains it in VectorSpaceLab/AREX-Skill, which has 328 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.