Topic Modelling for Humans

Fast, flexible and easy to use probabilistic modelling in Python.

:boar: :bear: Deep Learning based Python Library for Stock Market Prediction and Modelling

A Robust Approach for LiDAR-Inertial Odometry Without Sensor-Specific Modelling

lowfat - slim your command output. strips noise, saves tokens.

Simple random DNS, HTTP/S internet traffic noise generator

A Chrome/Firefox extension with custom new tab page featuring Chinese poems and P5.js enabled noise waves in traditional Chinese colors

Golang CLI application development. Use when building, modifying, or reviewing a Go CLI tool — especially for command structure, flag handling, configuration layering, version embedding, exit codes, I/O patterns, signal handling, shell completion, argument validation, and CLI unit testing. Also triggers when code uses cobra, viper, or urfave/cli. For cobra-specific APIs → See `samber/cc-skills-golang@golang-spf13-cobra` skill; for viper configuration layering → See `samber/cc-skills-golang@golang-spf13-viper` skill.

Golang benchmarking, profiling, and performance measurement. Use when writing, running, or comparing Go benchmarks, profiling hot paths with pprof, interpreting CPU/memory/trace profiles, analyzing results with benchstat, setting up CI benchmark regression detection, or investigating production performance with Prometheus runtime metrics. Also use when the developer needs deep analysis on a specific performance indicator - this skill provides the measurement methodology, while `samber/cc-skills-golang@golang-performance` provides the optimization patterns.

An open-source model for calculating noise maps.

A Claude skill for structured financial market intelligence using first principles and system thinking.

Claude Code skill for capturing and codifying learnings before session ends / context lost