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Ortools

Checked
tondevrel·vlatest·productivity·MIT

Ortools provides optimization solutions leveraging Google’s CPLEX solver for efficient problem-solving in logistics, scheduling, and resource allocation.

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 tondevrel/scientific-agent-skills --skill ortools -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

tondevrel

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Install target

Live repository

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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.

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  • No pipe-to-shell installers: passed

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

  • Pinned to a commit: passed

    Scanned tondevrel/scientific-agent-skills at 6e89d9e8c8.

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Commit
6e89d9e8c8
Manifest
skills/ortools/SKILL.md
Scanned
1 file, 289 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

The ortools skill provides access to Google's Operations Research tools. It allows AI agents to solve complex optimization problems, including linear programming, mixed integer programming, and constraint satisfaction. This enables automated decision-making in scenarios involving resource allocation, scheduling, and routing.

When to use it

  • Route Optimization: Determine the most efficient delivery routes for a fleet of vehicles, minimizing distance and time.
  • Scheduling Problems: Create optimal schedules for employees or machines, considering constraints like availability and deadlines.
  • Resource Allocation: Allocate limited resources (e.g., budget, staff) to maximize output or minimize costs across different projects.
  • Production Planning: Optimize production runs to meet demand while minimizing waste and inventory.

Key capabilities

  • Linear Programming
  • Mixed Integer Programming
  • Constraint Satisfaction

Example prompts

  • "Find the optimal route for these 10 delivery locations."
  • "Create a work schedule that minimizes overtime, given these employee preferences."
  • "Allocate this budget across three projects to maximize overall return."

Tips & gotchas

Requires understanding of optimization problem formulation. The agent will need clear input data and objective functions defined for the OR tools to function effectively.