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Arcgis Performance

Checked
saschabrunnerch·vlatest·other·MIT

Analyzes ArcGIS Online/Enterprise performance metrics to identify bottlenecks and optimize map/application speed.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add saschabrunnerch/arcgis-maps-sdk-js-ai-context --skill arcgis-performance -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

saschabrunnerch

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned saschabrunnerch/arcgis-maps-sdk-js-ai-context at d38ce872c3.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
d38ce872c3
Manifest
skills/arcgis-performance/SKILL.md
Scanned
1 file, 690 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill optimizes ArcGIS map performance within AI agent workflows. It allows for efficient handling of large datasets, reduces rendering times, and improves the overall responsiveness of map interactions. The skill focuses on streamlining data loading and display to ensure a smooth user experience when working with complex geospatial information.

When to use it

  • Analyzing large raster datasets: When processing satellite imagery or aerial photography that would otherwise cause slow load times.
  • Creating interactive web mapping applications: To improve the responsiveness of map panning, zooming, and feature querying within an AI-powered application.
  • Developing data visualization dashboards: For presenting complex geospatial data in a clear and performant manner to users interacting with an agent.
  • Automating geoprocessing tasks: To accelerate workflows involving spatial analysis and data manipulation within ArcGIS.

Key capabilities

  • Data streaming optimization
  • Rendering performance enhancements
  • Efficient feature querying
  • Large dataset handling

Example prompts

  • "Optimize the rendering of this 10,000-layer map."
  • "Reduce the load time for this raster dataset by half."
  • "Improve the responsiveness of feature queries on this map."

Tips & gotchas

This skill requires familiarity with ArcGIS and its mapping SDK. Ensure that your AI agent has access to a valid ArcGIS environment and appropriate data connections before attempting performance optimization.