Agent skill

Gis Remote Sensing Guide

by wentorai in wentorai/research-plugins

GIS analysis and remote sensing workflows for geospatial research applications

MITAuto-check passedData & Analytics

Install Gis Remote Sensing Guide

skills CLI
$ npx skills add wentorai/research-plugins --skill gis-remote-sensing-guide -a claude-code

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

GitHub CLI
$ gh skill install wentorai/research-plugins gis-remote-sensing-guide --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/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-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
gis-remote-sensing-guide
GitHub stars
298
Used in
1 other repo
Token cost
~1.2k tokens
SKILL.md length
191 words
Files
1
Skills in repo
405
Repo updated
First seen
Licence
MIT

At a glance

GIS analysis and remote sensing workflows for geospatial research applications

  • Tasks that involve Geospatial analysis
  • SKILL.md covers Satellite Data Sources, Spatial Analysis with GeoPandas, Remote Sensing Indices and Map Production, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

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.

When your agent uses it

  • Tasks that involve Geospatial analysis

Example prompts

  • “/gis-remote-sensing-guide”

Requirements

  • Python 3

What it can do on your machine

Read from SKILL.md and the folder at commit bf44b3c. 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

    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

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.

Always · name and description, kept in context so the agent knows when to use it
~26
When it runs · the whole SKILL.md, loaded when a task matches
~1.2k

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

The full file from wentorai/research-plugins at commit bf44b3c, republished under its MIT licence (© wentorai). 191 words, ~1,173 tokens.

Download SKILL.mdSave it as .claude/skills/gis-remote-sensing-guide/SKILL.md (or your agent's skills folder).
name
gis-remote-sensing-guide
description
GIS analysis and remote sensing workflows for geospatial research applications

GIS and Remote Sensing Guide

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.

Satellite Data Sources

Key Earth Observation Platforms
PlatformProviderSpatial Res.RevisitFree?Use Case
Landsat 8/9USGS/NASA30m (MS), 15m (pan)16 daysYesLand cover, NDVI time series
Sentinel-2ESA/Copernicus10m5 daysYesAgriculture, urban mapping
MODISNASA250m-1km1-2 daysYesLarge-scale vegetation, fire
Sentinel-1ESA5-20m6 daysYesSAR, flood mapping, deformation
SRTM/ASTERNASA30mN/AYesDigital elevation models
Data Download with Python
python
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')

Spatial Analysis with GeoPandas

Vector Data Processing
python
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')

Remote Sensing Indices

Vegetation and Water Indices
python
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}

Map Production

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.

Coordinate Reference Systems

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

Files

Just SKILL.md in skills/domains/geoscience/gis-remote-sensing-guide of wentorai/research-plugins.

Open the folder on GitHubat commit bf44b3c

Used in 1 other repository

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.

Compare with similar skills

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.

Gis Remote Sensing Guide compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Gis Remote Sensing Guide this skillwentorai/research-plugins2981 repos~1.2kAutomated safety check: PassMIT
Antv L7antvis/L74.1k—~1.4kAutomated safety check: PassMIT
Portaljs Add Geodatopian/portaljs2.4k1 repos~1.7kAutomated safety check: PassMIT
Thematic Mapzzhonglei/GeoCode-Release189—~3.1kAutomated safety check: PassMIT
Rs Paper Pipelinethinson/RS-PaperClaw230—~319Automated safety check: PassMIT
Remote Sensing Research Radarlimi124/remote-sensing-research-radar143—~1.3kAutomated safety check: PassNone

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Questions about Gis Remote Sensing Guide

What does Gis Remote Sensing Guide do?

GIS analysis and remote sensing workflows for geospatial research applications. Gis Remote Sensing Guide is an agent skill from wentorai/research-plugins.

When should I use Gis Remote Sensing Guide?

Gis Remote Sensing Guide fits situations like: tasks that involve Geospatial analysis.

How do I install Gis Remote Sensing Guide in Claude Code?

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.

How do I install Gis Remote Sensing Guide in Codex?

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.

Can I use Gis Remote Sensing Guide 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 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.

What does Gis Remote Sensing Guide need to run?

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.

Does Gis Remote Sensing Guide 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 Gis Remote Sensing Guide 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 Gis Remote Sensing Guide use?

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.

How many tokens does Gis Remote Sensing Guide use?

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.

What are the alternatives to Gis Remote Sensing Guide?

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.

Who maintains Gis Remote Sensing Guide?

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.