Updated 5d ago
by KeWang0622
MRFoundry
MRI research guidance for coding agents — composable skills, established tools, and evidence-linked research memory. Install: npx skills add KeWang0622/MRFoundry
29 GitHub stars (29)
+29 in 27 days
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- 7 skills (7 skills found in its SKILL.md files)
- 0 forks (0 forks)
- 5d ago last update (Last updated 5d ago)
Install
Skills CLI
npx skills add KeWang0622/MRFoundry
Asks which skills and agents to install. Just one: npx skills add KeWang0622/MRFoundry --skill deep-learning-recon — add -g for every project.
Claude Code
git clone https://github.com/KeWang0622/MRFoundrycp -r "MRFoundry/skills/deep-learning-recon" ~/.claude/skills/
Copies the deep-learning-recon skill into ~/.claude/skills/ for every project (use .claude/skills/ for one project). Repeat for the other skills listed below.
Plugin
/plugin marketplace add KeWang0622/MRFoundry
Run inside Claude Code if the repository ships a plugin marketplace, then pick plugins from /plugin.
Skills can run code on your machine — read the SKILL.md first.
What it does
In the author's own words, from each skill's SKILL.md.
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deep-learning-recon
Deep-learning MRI reconstruction expert. Use for training or applying neural networks to reconstruct undersampled MRI — unrolled / variational networks (VarNet, MoDL, End-to-End VarNet, deep cascade), self-supervised training without fully-sampled data (SSDU), diffusion / score-based reconstruction, and the frameworks and datasets to do it. Tools: DIRECT, fastMRI, ATOMMIC, torchkbnufft; datasets…
skills/deep-learning-recon/SKILL.md on GitHub (opens in a new tab) -
diffusion-mri
Diffusion MRI (dMRI) expert — acquisition, preprocessing, modeling, and tractography. Use for anything diffusion-weighted: DWI/DTI/DKI/NODDI/HARDI, b-values and b-vectors (bval/bvec), diffusion preprocessing (denoising, Gibbs removal, susceptibility distortion + eddy/motion correction), fiber-orientation estimation (CSD), tractography, white-matter bundle segmentation, and turnkey diffusion pipel…
skills/diffusion-mri/SKILL.md on GitHub (opens in a new tab) -
mri-hardware
MRI hardware and safety expert — magnets, gradients, RF coils, consoles / spectrometers, low-field and open-source systems, and MR safety. Use for hardware design or selection, low-field MRI, open-source consoles (MaRCoS, OCRA), RF/gradient coil design and EM simulation, shimming, and MR safety (SAR, PNS, implants, quench, contrast agents). Triggers: MRI hardware, gradient coil, RF coil, low-fiel…
skills/mri-hardware/SKILL.md on GitHub (opens in a new tab) -
mri-reconstruction
Actionable MRI image reconstruction — turn raw k-space into an image, and actually run it. Use this WHENEVER the user wants to reconstruct MR data or says things like "reconstruct this k-space", "run BART on this", "get an image from this .cfl / .h5 / twix file", or asks about parallel imaging (ESPIRiT/SENSE/GRAPPA), compressed sensing (PICS / L1-wavelet), coil sensitivity estimation, coil combin…
skills/mri-reconstruction/SKILL.md on GitHub (opens in a new tab) -
mri-research-workflow
End-to-end MRI research assistant — take a project from idea to a published paper, and help write it. Use this WHENEVER the user wants to plan or run an MRI (or MRI + machine-learning) study and publish it: literature survey and finding the gap, forming a hypothesis/claim, designing experiments (datasets, baselines, metrics, ablations), running them, analyzing results, making figures/tables, and…
skills/mri-research-workflow/SKILL.md on GitHub (opens in a new tab) -
mri-research
The generalist navigator and curated reference hub for MRI research — use it for orientation, cross-domain questions, and the canonical paper / course / dataset / toolbox across the whole MRI pipeline: MR physics and k-space, acquisition, reconstruction, image analysis, quantitative MRI and spectroscopy, hardware, data formats, and publishing. This hub also OWNS image-level analysis, which no sib…
skills/mri-research/SKILL.md on GitHub (opens in a new tab) -
pulse-sequence-design
MRI pulse-sequence and k-space trajectory design expert, vendor-aware. Use for designing or programming pulse sequences and gradient/RF waveforms, k-space trajectory design (Cartesian, radial, spiral, EPI, golden-angle), RF pulse design, SMS/multiband, sequence simulation, and vendor sequence development on Siemens (IDEA/ICE), GE (EPIC/Orchestra), and Philips (Paradise). Tools: Pulseq and PyPulse…
skills/pulse-sequence-design/SKILL.md on GitHub (opens in a new tab)
No skill matches that filter.
Review before you install
A skill is a set of instructions and scripts your agent will follow, and it can run code on your machine. Read the SKILL.md and any scripts first — this listing is not a security review.
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