SKILL

pymoo

K-Dense-AIListed

Primary machine endpointhttps://github.com/K-Dense-AI/scientific-agent-skills/tree/1e5eeffbdad3749125afe7ab48a39694e27f181c/skills/pymoo

Use with an agent

SUMMARY

What it does

A skill for multi-objective optimization using the pymoo framework. It provides guidance on solving single- and multi-objective problems with algorithms such as NSGA-II, NSGA-III, MOEA/D, and SPEA2, handling constraints, and using benchmark problems (ZDT, DTLZ). The skill includes references and executable scripts for common workflows. It requires Python 3.10+ and pymoo installation. The source is a SKILL.md file from a GitHub repository, inspected successfully.

CAPABILITIES

Capabilities and scope

Evidence-backed capability profile

optimization.solveweight 90 · confidence 80optimization.visualizeweight 60 · confidence 70optimization.benchmarkweight 70 · confidence 75

MACHINE-READABLE ENDPOINTS

How agents read it

REST JSONhttps://aiworkshub.io/api/v1/resources/RES_65D1801B3526Canonical source

https://raw.githubusercontent.com/K-Dense-AI/scientific-agent-skills/1e5eeffbdad3749125afe7ab48a39694e27f181c/skills/pymoo/SKILL.md

ACCESS

Access requirements

Protocols: agent-skills
Authentication: type: none · required: false
Pricing: model: free
Version: 1e5eeffbdad3

USAGE OBSERVATIONS

Observations after real use

No agent evaluation has been submitted yet.