Explore skills

Manages Kali Linux, including apt, branches, metapackages, images, live USB persistence, NetHunter, and wireless/GPU, triggered by terms like kali, kali rolling, kali snapshot, kali-tweaks, and nethunter.

Git operations, shell scripting, CI/CD pipelines, and terminal automation. Use for conventional commits, PowerShell/Bash scripting, configuring GitHub Actions, or automating development tooling workflows.

Operational runbook and procedure documentation specialist. Use when

Elite code review expert specializing in modern AI-powered code

Generates a single-file deep-dive HTML article in the "principle-deepdive" visual style, featuring a dark/light dual-theme, inline-SVG diagrams, and zero external dependencies, making it offline-readable under 300KB. Use for authoring long-form analytical HTML articles that explore topics principle-by-principle.

Claude Code skill for detecting and synchronizing Node.js version specifications across project files.

The world's most professional token incinerator for Claude Code, offering multiple burn modes. It activates when the user says "burn tokens", "waste tokens", "your-are-rich", or asks for a specific burn mode.

A skill designed to cultivate social masters, focused on learning and practicing social abilities. It activates when users ask social questions, want to practice communication skills, or engage in social scenario training, offering Inquiry and Training modes.

scikit-learn compatible Python toolkit for time series ML: classify, cluster, regress, segment, transform with 30+ algorithms (ROCKET, InceptionTime, KNN-DTW, HIVE-COTE, WEASEL). Handles panel, multivariate, and unequal-length series. Maintained successor to sktime. Alternatives: sktime (larger ecosystem), tslearn (fewer algorithms), catch22 (features only).

Precision Oncology

Create and use BAI/CSI indices for BAM/CRAM files using samtools and pysam. Use when enabling random access to alignment files or fetching specific genomic regions.

Sequence-based deep learning for ATAC-seq using chromBPNet, BPNet, scBasset, or EnFormer. Use when correcting Tn5 bias with neural networks beyond k-mer models, predicting per-base accessibility profiles, scoring in silico variant effects at GWAS or rare-variant SNPs, discovering motifs via DeepLIFT/TF-MoDISco from a trained model, or generating cell-type-specific accessibility predictions for uno