generate_synthetic_measurements — generate_synthetic_measurements install generate_synthetic_measurements, lightfield_linearsys, community, generate_synthetic_measurements install, ide skills, microscope measurement simulation, 3D ground-truth volume processing, Claude Code, Cursor, Windsurf

v1.0.0
GitHub

About this Skill

Perfect for Scientific Computing Agents needing advanced microscope measurement simulation capabilities. generate_synthetic_measurements is a skill that generates synthetic measurements from 3D ground-truth volumes using precomputed system matrices

Features

Simulates microscope measurements using precomputed system matrices (the forward operator $A$)
Supports 3D ground-truth (GT) volumes as input ($x$) in reconstruction.pt format
Generates output measurements ($b = Ax$) as .tif images
Utilizes Interp_Vol_ID_*.pt files in a directory for system matrices
Enables solver development and benchmarking

# Core Topics

Winfred666 Winfred666
[0]
[0]
Updated: 3/8/2026

Agent Capability Analysis

The generate_synthetic_measurements skill by Winfred666 is an open-source community AI agent skill for Claude Code and other IDE workflows, helping agents execute tasks with better context, repeatability, and domain-specific guidance. Optimized for generate_synthetic_measurements install, microscope measurement simulation, 3D ground-truth volume processing.

Ideal Agent Persona

Perfect for Scientific Computing Agents needing advanced microscope measurement simulation capabilities.

Core Value

Empowers agents to simulate microscope measurements from 3D ground-truth volumes using precomputed system matrices, facilitating solver development and benchmarking with file formats like `.pt` and `.tif`.

Capabilities Granted for generate_synthetic_measurements

Simulating microscope measurements for solver development
Generating synthetic data for benchmarking
Creating realistic measurement simulations using precomputed system matrices

! Prerequisites & Limits

  • Requires precomputed system matrices
  • Limited to 3D ground-truth volumes
  • Output measurements saved as `.tif` images
Labs Demo

Browser Sandbox Environment

⚡️ Ready to unleash?

Experience this Agent in a zero-setup browser environment powered by WebContainers. No installation required.

Boot Container Sandbox

generate_synthetic_measurements

Install generate_synthetic_measurements, an AI agent skill for AI agent workflows and automation. Works with Claude Code, Cursor, and Windsurf with...

SKILL.md
Readonly

Generate Measurements from Synthetic Data

Overview

Use this skill when you have a 3D ground-truth (GT) volume and want to simulate what the microscope/system would measure, using precomputed system matrices (the forward operator $A$).

This is typically a prerequisite for solver development and benchmarking:

  • GT volume ($x$): reconstruction.pt (or similar)
  • system matrices ($A$): Interp_Vol_ID_*.pt files in a directory
  • output measurements ($b = Ax$): saved as .tif images

Instructions

  1. Prepare the ground-truth volume.
  • Ensure the GT volume is a .pt file (for example reconstruction.pt).
  • If your GT is stored in H5 format, convert it using scripts/convert_h5_to_pt.py.
  1. Locate the forward model (A matrices).
  • Identify the directory containing Interp_Vol_ID_*.pt.
  • Confirm this directory corresponds to the same optical/system setup you want to simulate.
  1. Pick/verify the crop (if needed).
  • If the A volume extent is larger than your GT volume (or mismatched), set --crop-box-A.
  • Format is x0 y0 z0 x1 y1 z1
  • User would give the crop, or check crop in most related config/*.yaml. If you do not know how to crop, stop and ask user for help.
  1. (Optional) Decide on noise injection.
  • Use --noise-index to add noise to a specific measurement index.
  • Use --noise-index -1 for clean measurement without noise.
  1. Generate the measurements.

Run scripts/generate_bunny_measurements.py with:

  • --gt-vol-path: path to GT .pt
  • --raw-A-dir: path to the system matrices
  • --output-dir: output folder for .tif measurements

What success looks like

You should consider this skill successful when:

  • the script finishes without error, and
  • output_dir contains one or more .tif measurement images, and
  • (recommended) the images look plausible (non-empty, not all zeros/NaNs) when opened or visualized.

Examples

Example: generate noise-free measurements with A-cropping

Generate measurements from a GT volume using a specified system-matrix directory, and crop A to match the GT:

bash
1python scripts/generate_bunny_measurements.py \ 2 --gt-vol-path data/synthetic/balls/case_1/reconstruction.pt \ 3 --raw-A-dir data/raw/lightsheet_vol_6.9 \ 4 --output-dir data/synthetic/balls/case_1/measurements \ 5 --crop-box-A 5 268 18 69 332 82 \ 6 --noise-index -1

FAQ & Installation Steps

These questions and steps mirror the structured data on this page for better search understanding.

? Frequently Asked Questions

What is generate_synthetic_measurements?

Perfect for Scientific Computing Agents needing advanced microscope measurement simulation capabilities. generate_synthetic_measurements is a skill that generates synthetic measurements from 3D ground-truth volumes using precomputed system matrices

How do I install generate_synthetic_measurements?

Run the command: npx killer-skills add Winfred666/lightfield_linearsys/generate_synthetic_measurements. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.

What are the use cases for generate_synthetic_measurements?

Key use cases include: Simulating microscope measurements for solver development, Generating synthetic data for benchmarking, Creating realistic measurement simulations using precomputed system matrices.

Which IDEs are compatible with generate_synthetic_measurements?

This skill is compatible with Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer. Use the Killer-Skills CLI for universal one-command installation.

Are there any limitations for generate_synthetic_measurements?

Requires precomputed system matrices. Limited to 3D ground-truth volumes. Output measurements saved as `.tif` images.

How To Install

  1. 1. Open your terminal

    Open the terminal or command line in your project directory.

  2. 2. Run the install command

    Run: npx killer-skills add Winfred666/lightfield_linearsys/generate_synthetic_measurements. The CLI will automatically detect your IDE or AI agent and configure the skill.

  3. 3. Start using the skill

    The skill is now active. Your AI agent can use generate_synthetic_measurements immediately in the current project.

Related Skills

Looking for an alternative to generate_synthetic_measurements or another community skill for your workflow? Explore these related open-source skills.

View All

widget-generator

Logo of f
f

f.k.a. Awesome ChatGPT Prompts. Share, discover, and collect prompts from the community. Free and open source — self-host for your organization with complete privacy.

149.6k
0
AI

flags

Logo of vercel
vercel

flags is a Next.js feature management skill that enables developers to efficiently add or modify framework feature flags, streamlining React application development.

138.4k
0
Browser

zustand

Logo of lobehub
lobehub

The ultimate space for work and life — to find, build, and collaborate with agent teammates that grow with you. We are taking agent harness to the next level — enabling multi-agent collaboration, effortless agent team design, and introducing agents as the unit of work interaction.

72.8k
0
AI

data-fetching

Logo of lobehub
lobehub

The ultimate space for work and life — to find, build, and collaborate with agent teammates that grow with you. We are taking agent harness to the next level — enabling multi-agent collaboration, effortless agent team design, and introducing agents as the unit of work interaction.

72.8k
0
AI