visual-calculus

Name: visual-calculus
Availability: InStock
Author: liigo

Build virtual crime-scene models to analyze trajectories, footprints, and shoe characteristics.

90|5|Updated Apr 4, 2026

Search Tags:#forensics #pattern-recognition #trajectory-analysis #crime-scene #visual-calculus #spatial-reasoning #footwear

Ready to run

npx skills add https://github.com/liigoQi/disco-elysium --skill visual-calculus

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: visual-calculus
Source: https://github.com/liigoQi/disco-elysium/tree/main/cursor-skills/visual-calculus
Command: npx skills add https://github.com/liigoQi/disco-elysium --skill visual-calculus

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill enables investigators and analysts to reconstruct crime scenes by building virtual models of spatial data, allowing precise reasoning about trajectories, footprints, and footwear characteristics.

Core Features & Use Cases

Virtual crime-scene modeling for trajectory analysis and footprint correlation
Ballistic estimation, footprint size deduction, and scene interpretation under uncertain evidence
Use Case: In a fragmented scene, infer the suspect's height and gait by mapping shoe size to footprint imprint patterns.

Quick Start

Initiate a scene reconstruction by loading the visual-calculus module and describing the key spatial elements.

Frequently Asked Questions about visual-calculus

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I reconstruct a crime scene from footprint and trajectory data?▼

Crime scene reconstruction from footprint and trajectory data is achieved by building virtual models to reason about spatial relationships. This process analyzes ballistic estimation, footprint size deduction, and pattern recognition under uncertain evidence.

What is ballistic trajectory analysis and how does it estimate bullet paths?▼

Ballistic trajectory analysis estimates bullet paths by applying spatial reasoning to virtual crime scene models. It allows investigators to calculate angles and trajectories under uncertain evidence conditions, helping reconstruct the sequence of events.

Can I deduce a suspect's height and gait from partial footwear imprints?▼

Deducing a suspect's height and gait from partial footwear imprints is possible by mapping shoe size to footprint patterns. This spatial reasoning technique correlates imprint characteristics with gait analysis to infer physical attributes.

How do I interpret fragmented scene evidence when data is uncertain?▼

Interpreting fragmented scene evidence under uncertain conditions requires pattern recognition and spatial reasoning within a virtual model. You correlate incomplete footprints and trajectory data to reconstruct the event despite missing information.

Does crime scene pattern recognition work for both ballistic and footprint analysis?▼

Crime scene pattern recognition works for both ballistic and footprint analysis by applying spatial reasoning to virtual models. It processes uncertain evidence from multiple source types to deliver correlated scene interpretation and suspect deduction.

What are the limitations of footprint analysis in spatial crime scene modeling?▼

Footprint analysis limitations in spatial crime scene modeling arise from uncertain evidence and fragmented imprints. When pattern recognition lacks sufficient imprint data, mapping shoe characteristics to suspect height and gait becomes less reliable.