gee agent skill

    1

    Automate Google Earth Engine workflow planning, failure diagnosis, and evidence-backed geospatial execution.

    Free

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    Works with the AI tools you already use

    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIGitHub CopilotGitHub CopilotGemini CLIGemini CLI+20 more

    gee agent skill

    Example session with this skill installed

    Diagnose the export failure for project 'forest-cover-2023'. The last task ID was T56789 and it returned a 'Layer error: Image.reduceRegion: Too many pixels' message.

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    • Compiled the gee agent
    • Generated the document

    I have analyzed the task failure for the forest-cover-2023 project. The diagnostic trace identifies a memory-related constraint during the reduction phase.

    Diagnostic Report: Task T56789

    MetricDetail
    Error ClassResource Exhaustion (Too many pixels)
    FingerprintreduceRegion at 30m resolution over AOI "Amazon_Basin_East"
    Root CauseThe pixel count exceeds the default maxPixels threshold (1e9).
    StatusDeterministic Failure
    Recovery StrategyIncrement maxPixels or implement spatial sharding.

    Proposed Fix: Updated Python Snippet

    
# Apply recovery: Increased maxPixels and tileScale for heavy reduction
stats = image.reduceRegion(
    reducer=ee.Reducer.mean(),
    geometry=roi,
    scale=30,
    maxPixels=1e13, # Increased from default
    tileScale=4     # Added to prevent memory overhead
)

    Next steps

    1. Validate the updated script using gee-skill plan --dry-run.
    2. Update the gee-plan/v0.3 YAML with the new tileScale parameter.
    3. Resubmit the task and monitor the export trace in the project ledger.

    gee-agent-skill.pdf

    PDF · document

    Generated

    Example file from a real run - the skill writes it into your workspace.

    Connects securely to your tools. The creator never sees your data.

    About this skill

    Review your Earth Engine workflow before you run it!

    GEE Workflow Toolkit helps remote-sensing researchers and geospatial developers turn supported Google Earth Engine requests into reviewable plans, editable Python scripts, and validation reports. Instead of treating generated code as a finished result, the toolkit keeps the workflow inspectable: clarify the task, retrieve relevant guidance, generate or adapt the script, validate it locally, and review the live-execution boundary.

    What you can do?

    • Plan supported Earth Engine workflows using editable recipes.
    • Retrieve dataset, operator, and troubleshooting guidance from a bundled local knowledge base.
    • Generate Python scripts and check them before contacting Earth Engine.
    • Continue an established GEE project without unnecessarily restarting its workflow.
    • Diagnose observed failures while preserving completed work.
    • Use project selection, preflight checks, and explicit confirmation before live exports.

    What you receive?

    • SKILL.md agent instructions and Codex metadata.
    • Python CLI source and editable workflow templates.
    • A recipe registry, local evidence cards, and a knowledge graph.
    • Public example inputs, evaluation resources, and technical documentation.
    • A first-run guide with installation instructions and starter requests.

    Who it is for?

    Researchers, GIS analysts, and geospatial developers who work with Earth Engine and want a reviewable, code-first workflow. Basic familiarity with Python, areas of interest, raster resolution, and export destinations is helpful.

    How to install

    Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.

    ~30 seconds
    1. 1

      Download the ZIP

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    2. 2

      Unzip into your skills folder

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    3. 3

      Ask your agent to use it

      Restart the agent if it was already running. It picks the skill up automatically - no config needed.

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    Listed14 days ago

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