SKILL

openpiv

K-Dense-AIListed

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

Use with an agent

SUMMARY

What it does

This Agent Skill provides guidance for performing Particle Image Velocimetry (PIV) analysis using the OpenPIV library. It covers the full workflow: preprocessing, cross-correlation, vector validation, outlier replacement, smoothing, and scaling to physical units. The skill includes verified code snippets for common operations such as dynamic masking, multi-pass processing, validation methods, outlier replacement, smoothing, and visualization. It also provides a CLI wrapper script and analysis functions for computing vorticity, strain rate, and turbulence statistics. The skill is verified against openpiv version 0.25.4 and requires Python 3.10+ with the openpiv package installed.

CAPABILITIES

Capabilities and scope

Evidence-backed capability profile

data.analyzeweight 90 · confidence 90data.transformweight 80 · confidence 90data.visualizeweight 70 · confidence 80code.executeweight 60 · confidence 80

MACHINE-READABLE ENDPOINTS

How agents read it

REST JSONhttps://aiworkshub.io/api/v1/resources/RES_67058A81BB27Canonical source

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