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Territory Optimization

Checked
gtmagents·vlatest·other·Apache-2.0

Dynamically adjusts resource allocation and patrol routes to maximize coverage and minimize response times within defined areas.

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 gtmagents/gtm-agents --skill territory-optimization -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

gtmagents

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 gtmagents/gtm-agents at 78e0419f44.

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

Commit
78e0419f44
Manifest
plugins/sales-operations/skills/territory-optimization/SKILL.md
Scanned
1 file, 31 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 territorial assignments based on provided data. It can analyze factors like resource distribution, population density, and strategic importance to suggest efficient territory allocations. The goal is to maximize effectiveness and minimize conflict within a defined area or organization.

When to use it

  • Resource Allocation: Distributing emergency services (police, fire) across a city based on incident frequency.
  • Sales Region Assignment: Dividing a sales team's geographic responsibilities for maximum coverage.
  • Logistics Network Planning: Optimizing warehouse locations and delivery zones for efficient product distribution.
  • Game Development: Assigning territories to factions in a strategy game, balancing resources and strategic points.

Key capabilities

  • Territory assignment optimization
  • Resource-based analysis
  • Population density consideration
  • Strategic importance evaluation

Example prompts

  • "Optimize territory assignments for my sales team across the state of California."
  • "Suggest emergency service zones based on historical incident data in Chicago."
  • “Given these resource levels and population densities, how should I divide this region into territories?”

Tips & gotchas

The quality of optimization depends heavily on the accuracy and completeness of the input data. Ensure your data reflects current conditions for best results.