Antv L7
antvis/L7
Comprehensive guide for AntV L7 geospatial visualization library.
GIS analysis and remote sensing workflows for geospatial research applications
$ npx skills add wentorai/research-plugins --skill gis-remote-sensing-guide -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install wentorai/research-plugins gis-remote-sensing-guide --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/wentorai/research-plugins.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/domains/geoscience/gis-remote-sensing-guide .claude/skills/gis-remote-sensing-guide && 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 "gis-remote-sensing-guide" agent skill from https://github.com/wentorai/research-plugins/tree/main/skills/domains/geoscience/gis-remote-sensing-guide into .claude/skills/gis-remote-sensing-guide/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gis-remote-sensing-guide", 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/wentorai/research-plugins/tree/main/skills/domains/geoscience/gis-remote-sensing-guideType 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 wentorai/research-plugins --skill gis-remote-sensing-guide -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install wentorai/research-plugins gis-remote-sensing-guide --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/wentorai/research-plugins.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/domains/geoscience/gis-remote-sensing-guide .agents/skills/gis-remote-sensing-guide && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "gis-remote-sensing-guide" agent skill from https://github.com/wentorai/research-plugins/tree/main/skills/domains/geoscience/gis-remote-sensing-guide into .agents/skills/gis-remote-sensing-guide/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gis-remote-sensing-guide", 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 wentorai/research-plugins --skill gis-remote-sensing-guide -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install wentorai/research-plugins gis-remote-sensing-guide --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/wentorai/research-plugins.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/domains/geoscience/gis-remote-sensing-guide .cursor/skills/gis-remote-sensing-guide && 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 "gis-remote-sensing-guide" agent skill from https://github.com/wentorai/research-plugins/tree/main/skills/domains/geoscience/gis-remote-sensing-guide into .cursor/skills/gis-remote-sensing-guide/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gis-remote-sensing-guide", 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/wentorai/research-plugins.git --path skills/domains/geoscience/gis-remote-sensing-guide--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 wentorai/research-plugins --skill gis-remote-sensing-guide -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install wentorai/research-plugins gis-remote-sensing-guide --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/wentorai/research-plugins.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/domains/geoscience/gis-remote-sensing-guide .gemini/skills/gis-remote-sensing-guide && 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 "gis-remote-sensing-guide" agent skill from https://github.com/wentorai/research-plugins/tree/main/skills/domains/geoscience/gis-remote-sensing-guide into .gemini/skills/gis-remote-sensing-guide/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gis-remote-sensing-guide", 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 wentorai/research-plugins gis-remote-sensing-guideInstalls 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 wentorai/research-plugins --skill gis-remote-sensing-guide -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/wentorai/research-plugins.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/domains/geoscience/gis-remote-sensing-guide .github/skills/gis-remote-sensing-guide && 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 "gis-remote-sensing-guide" agent skill from https://github.com/wentorai/research-plugins/tree/main/skills/domains/geoscience/gis-remote-sensing-guide into .github/skills/gis-remote-sensing-guide/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gis-remote-sensing-guide", 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 wentorai/research-plugins --skill gis-remote-sensing-guide -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install wentorai/research-plugins gis-remote-sensing-guide --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/wentorai/research-plugins.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/domains/geoscience/gis-remote-sensing-guide .opencode/skills/gis-remote-sensing-guide && 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 "gis-remote-sensing-guide" agent skill from https://github.com/wentorai/research-plugins/tree/main/skills/domains/geoscience/gis-remote-sensing-guide into .opencode/skills/gis-remote-sensing-guide/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gis-remote-sensing-guide", 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.
gis-remote-sensing-guideGIS analysis and remote sensing workflows for geospatial research applications
Gis Remote Sensing Guide is an agent skill from wentorai/research-plugins. GIS analysis and remote sensing workflows for geospatial research applications
Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Data & Analytics, covering Geospatial analysis. The repository describes itself as: 350+ academic research skills, MCP configs, and plugins for Research-Claw and AI agents. The licence is MIT.
Read from SKILL.md and the folder at commit bf44b3c. It shows what the files ask for, not the result of running them.
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.
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.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Gis Remote Sensing Guide loads about 1.2k tokens when it runs. Until then it costs about 26 tokens; SKILL.md has 191 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.
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.
The full file from wentorai/research-plugins at commit bf44b3c, republished under its MIT licence (© wentorai). 191 words, ~1,173 tokens.
.claude/skills/gis-remote-sensing-guide/SKILL.md (or your agent's skills folder).A comprehensive skill for conducting geospatial analysis and remote sensing research. Covers data acquisition from satellite platforms, spatial analysis with open-source tools, and publication-quality map production.
| Platform | Provider | Spatial Res. | Revisit | Free? | Use Case |
|---|---|---|---|---|---|
| Landsat 8/9 | USGS/NASA | 30m (MS), 15m (pan) | 16 days | Yes | Land cover, NDVI time series |
| Sentinel-2 | ESA/Copernicus | 10m | 5 days | Yes | Agriculture, urban mapping |
| MODIS | NASA | 250m-1km | 1-2 days | Yes | Large-scale vegetation, fire |
| Sentinel-1 | ESA | 5-20m | 6 days | Yes | SAR, flood mapping, deformation |
| SRTM/ASTER | NASA | 30m | N/A | Yes | Digital elevation models |
import ee
# Initialize Google Earth Engine
ee.Initialize()
def get_sentinel2_composite(aoi: ee.Geometry, start: str, end: str,
cloud_max: int = 20) -> ee.Image:
"""
Create a cloud-free Sentinel-2 composite.
Args:
aoi: Area of interest as ee.Geometry
start: Start date (YYYY-MM-DD)
end: End date (YYYY-MM-DD)
cloud_max: Maximum cloud cover percentage
"""
collection = (ee.ImageCollection('COPERNICUS/S2_SR_HARMONIZED')
.filterBounds(aoi)
.filterDate(start, end)
.filter(ee.Filter.lt('CLOUDY_PIXEL_PERCENTAGE', cloud_max)))
# Cloud masking using SCL band
def mask_clouds(image):
scl = image.select('SCL')
mask = scl.neq(3).And(scl.neq(8)).And(scl.neq(9)).And(scl.neq(10))
return image.updateMask(mask)
return collection.map(mask_clouds).median().clip(aoi)
# Define study area
study_area = ee.Geometry.Rectangle([116.0, 39.5, 117.0, 40.5]) # Beijing region
composite = get_sentinel2_composite(study_area, '2024-06-01', '2024-09-30')import geopandas as gpd
from shapely.geometry import Point
def spatial_join_analysis(points_gdf: gpd.GeoDataFrame,
polygons_gdf: gpd.GeoDataFrame,
agg_col: str) -> gpd.GeoDataFrame:
"""
Perform spatial join and aggregate point data within polygons.
"""
joined = gpd.sjoin(points_gdf, polygons_gdf, how='inner', predicate='within')
summary = joined.groupby('index_right').agg(
count=(agg_col, 'count'),
mean_value=(agg_col, 'mean'),
std_value=(agg_col, 'std')
).reset_index()
result = polygons_gdf.merge(summary, left_index=True, right_on='index_right')
return result
# Example: aggregate soil samples within administrative boundaries
soil_samples = gpd.read_file('soil_data.geojson')
admin_bounds = gpd.read_file('admin_boundaries.shp')
result = spatial_join_analysis(soil_samples, admin_bounds, 'pH_value')import rasterio
import numpy as np
def compute_indices(image_path: str) -> dict:
"""Compute common remote sensing spectral indices."""
with rasterio.open(image_path) as src:
red = src.read(3).astype(float) # Band 4 in Sentinel-2
nir = src.read(4).astype(float) # Band 8
green = src.read(2).astype(float) # Band 3
swir = src.read(5).astype(float) # Band 11
# Normalized Difference Vegetation Index
ndvi = (nir - red) / (nir + red + 1e-10)
# Normalized Difference Water Index
ndwi = (green - nir) / (green + nir + 1e-10)
# Normalized Burn Ratio
nbr = (nir - swir) / (nir + swir + 1e-10)
return {'NDVI': ndvi, 'NDWI': ndwi, 'NBR': nbr}For publication-quality maps, always include: scale bar, north arrow, coordinate reference system label, legend, and data source attribution. Use matplotlib with cartopy for projected maps, or folium for interactive web maps. Export at 300 DPI minimum for journal submissions.
Always verify and document the CRS. Use EPSG codes (e.g., EPSG:4326 for WGS84, EPSG:32650 for UTM Zone 50N). Reproject all layers to a common CRS before spatial operations to avoid misalignment errors.
© wentorai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in skills/domains/geoscience/gis-remote-sensing-guide of wentorai/research-plugins.
Open the folder on GitHubat commit bf44b3c
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in wentorai/research-plugins, which our catalogue first saw on October 7, 2026.
Gis Remote Sensing Guide 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 |
|---|---|---|---|---|---|---|
| Gis Remote Sensing Guide this skillwentorai/research-plugins | 298 | 1 repos | ~1.2k | Automated safety check: Pass | MIT | |
| 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 |
antvis/L7
Comprehensive guide for AntV L7 geospatial visualization library.
datopian/portaljs
Auto-ingest a geospatial file (GeoJSON, Shapefile, GeoPackage, KML/KMZ, FlatGeobuf, CSV-with-geometry) into a PortalJS portal on the user's own machine, with no server.
zzhonglei/GeoCode-Release
Create well-designed maps that follow standard cartographic conventions.
thinson/RS-PaperClaw
A skill your agent uses when operating or maintaining the RS-PaperClaw pipeline that fetches remote-sensing arXiv papers, creates per-paper issues, builds daily digests, reconciles issue sets, and…
limi124/remote-sensing-research-radar
Track, retrieve, screen, and synthesize research frontiers for geospatial AI, remote sensing big data, and transferable computer vision methods.
FrancyJGLisboa/agent-skills-platform
Create a current, source-linked weather briefing for a named city using the Open-Meteo geocoding and forecast APIs.
wentorai/research-plugins
Craft structured research abstracts that maximize clarity and journal acceptance
wentorai/research-plugins
Manage academic citations across BibTeX, APA, MLA, and Chicago formats
wentorai/research-plugins
Summarize academic papers with structured extraction of key elements
wentorai/research-plugins
Evidence-based study techniques for academic learning and retention
wentorai/research-plugins
Adjust writing tone and register for academic audiences and venues
wentorai/research-plugins
Academic translation, post-editing, and Chinglish correction guide
Categories
GIS analysis and remote sensing workflows for geospatial research applications. Gis Remote Sensing Guide is an agent skill from wentorai/research-plugins.
Gis Remote Sensing Guide fits situations like: tasks that involve Geospatial analysis.
Run `npx skills add wentorai/research-plugins --skill gis-remote-sensing-guide -a claude-code`. Or copy the skill folder (skills/domains/geoscience/gis-remote-sensing-guide in wentorai/research-plugins) into .claude/skills/gis-remote-sensing-guide in your project. Claude Code loads it when a task matches its description.
Run `npx skills add wentorai/research-plugins --skill gis-remote-sensing-guide -a codex`. Or copy the skill folder (skills/domains/geoscience/gis-remote-sensing-guide in wentorai/research-plugins) into .agents/skills/gis-remote-sensing-guide in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add wentorai/research-plugins --skill gis-remote-sensing-guide -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/gis-remote-sensing-guide, .gemini/skills/gis-remote-sensing-guide, .github/skills/gis-remote-sensing-guide and .opencode/skills/gis-remote-sensing-guide in your project.
SKILL.md names no scripts, command-line tools or credentials: Gis Remote Sensing Guide is instructions for the agent only. Our summary lists: Python 3.
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.
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.
Gis Remote Sensing Guide is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.2k tokens (SKILL.md is roughly 4.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Gis Remote Sensing Guide: 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.
wentorai (a GitHub user) maintains it in wentorai/research-plugins, which has 298 GitHub stars. The repository holds 405 skills in this directory. The repository was last updated on June 19, 2026.
Source: wentorai/research-plugins on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.