From the author
Use this model doc whenever the user wants to perform resting-state network decomposition using ICA. This is a non-deep-learning unsupervised route focused on extracting intrinsic connectivity networks, component maps, and subject-level time series from resting-state fMRI.
Install
npx skills add BioTender-max/awesome-bio-agent-skills --skill ica -a claude-code
Installs to .claude/skills/ica/ · Each command fetches the skill straight from GitHub with the open skills CLI.
No download: this skill’s licence (Custom or unclear) does not let us redistribute its files. The install commands fetch them from GitHub instead.
Want your agent to suggest skills while you type? See how to use skills from your IDE.
Safety checks on SKILL.md
No warnings.
Why 74
aiqbench computes the trust score from public signals. It is not a security audit, so read a skill before you install it.
Similar skills
Closest to this one by what they do and when they are used.
- filteringBioTender-max/awesome-bio-agent-skillsUse this model doc whenever the user wants to perform neuroimaging signal denoising with classical temporal filtering methods. This is a non-deep-learning preprocessing route focused on temporal cleaning, frequency selection, and preparation of cleaner time series for downstream analysis.Other★ 206
- detrendingBioTender-max/awesome-bio-agent-skillsUse this model doc whenever the user wants to perform neuroimaging signal denoising with classical detrending methods. This is a non-deep-learning preprocessing route focused on removing low-frequency drift and linear trends from time series before downstream analysis.Other★ 206
- svmBioTender-max/awesome-bio-agent-skillsUse this model doc whenever the user wants to perform disease classification with SVM. This is a non-deep-learning supervised route focused on neuroimaging-based case-control prediction from ROI-wise or tabular features.Other★ 206
- spacenetBioTender-max/awesome-bio-agent-skillsUse this model doc whenever the user wants to perform disease classification with SpaceNet. This is a non-deep-learning supervised route focused on voxel-wise neuroimaging-based case-control prediction with sparse and interpretable weight maps.Other★ 206
- glmBioTender-max/awesome-bio-agent-skillsUse this model doc whenever the user wants to run a classical General Linear Model (GLM) for task-evoked fMRI activation analysis. This is a non-deep-learning model route focused on design matrices, first-level/second-level statistics, and statistical maps.Design★ 206
- braingnnBioTender-max/awesome-bio-agent-skillsUse this model doc whenever the user wants to run BrainGNN for fMRI phenotype prediction, including graph construction, training, and evaluation. This document focuses on model-level usage and delegates upstream preprocessing to fmri-skill (and optionally hcpya-skill for HCP data).Other★ 206
Ratings & reviews
—
no reviews
Tried this skill? Rate it to help others. Sign in
Discussion
Join the discussion. Sign in