remote-sensing
Skill203 starsChanged 8 months agoMITView on GitHub
Guide agent through raster and satellite imagery analysis with the built-in, learned, and fabricated geo tools
4 other projects use a version of this.
Adopted by
Most recently taken up by
- TerraLabAI/geoai-skillstheir own version, first seen Nov 1, 2026
- BuildHarbor/sciagent-skillstheir own version, first seen Nov 1, 2026
- Muhammad-Tariq/webgis-claude-skillstheir own version, first seen Oct 15, 2026
- Pratikrishi97/sciagent-skillstheir own version, first seen Aug 29, 2026
Other versions4 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 4
- BuildHarbor/sciagent-skills★ 1same name
- Muhammad-Tariq/webgis-claude-skills★ 1same name
- Pratikrishi97/sciagent-skills★ 1same name
- TerraLabAI/geoai-skills★ 0same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository2 other files it gives its agents.
- data-pipelineSkill
- spatial-analysisSkill
The file
We split this skill into the rules it gives an agent
9 rules. 0 are common, 4 are distinctive, and 5 are very specific to this project.
0
Common
Most of the 4 edited versions we read keep these.
4
Distinctive
This author's own choices. Worth a look.
5
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 8
Use this skill when the task involves satellite imagery, raster products, vegetation indices, terrain, or image preprocessing.
- Very specific: line 11
If the user does not already provide raster files, discover likely datasets first with geo_data_catalog.
- Very specific: line 14
Start with geo_info and geo_crs_detect.
- Very specific: line 17
Before creating a new raster workflow, inspect whether pipelines/geo/ already captures a similar scene-prep or raster-analysis sequence.
- Very specific: line 23
Use geo_format_convert when the result needs a simpler output format.
- Very specific: line 26
If a raster workflow is clearly reusable and not covered by learned pipelines or built-in tools, fabricate a workspace geo tool under …
- Distinctive: line 30
Prefer learned pipelines before fabricating a new raster tool.
- Distinctive: line 31
Prefer GeoTIFF for raster outputs unless the user asks for a web-ready preview.
- Distinctive: line 32
Keep all generated outputs inside the workspace.
“Common” is measured: kept by at least 6 in 10 of the 4 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Remote Sensing Workflow
Use this skill when the task involves satellite imagery, raster products, vegetation indices, terrain, or image preprocessing.
Step 1: Discover Candidate Imagery
If the user does not already provide raster files, discover likely datasets first with geo_data_catalog.
Step 2: Inspect and Verify CRS
Start with geo_info and geo_crs_detect.
Step 3: Reuse Learned Pipelines First
Before creating a new raster workflow, inspect whether pipelines/geo/ already captures a similar scene-prep or raster-analysis sequence.
Step 4: Use GDAL for Raster Processing
Typical operations go through geo_process.
Step 5: Convert Deliverables
Use geo_format_convert when the result needs a simpler output format.
Step 6: Fabricate a Reusable Raster Tool
If a raster workflow is clearly reusable and not covered by learned pipelines or built-in tools, fabricate a workspace geo tool under tools/geo/.
Conventions
- Prefer learned pipelines before fabricating a new raster tool.
- Prefer GeoTIFF for raster outputs unless the user asks for a web-ready preview.
- Keep all generated outputs inside the workspace.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
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Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
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Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

