¿Qué hace billus-model-skill-library?
Provide model engineering skills for training, tuning, and modifying large language and vision models using PyTorch, Hugging Face, and related tools.
Provide model engineering skills for training, tuning, and modifying large language and vision models using PyTorch, Hugging Face, and related tools.
billus-model-skill-library is a Claude Code agent skill that provide model engineering skills for training, tuning, and modifying large language and vision models using PyTorch, Hugging Face, and related tools.
npx skills add Aaqilv2458/billus-model-skill-libraryInstalled? Explore more Imagen skills: steipete/songsee, affaan-m/frontend-design, mattpocock/improve-codebase-architecture · View all 6 →
Provide model engineering skills for training, tuning, and modifying large language and vision models using PyTorch, Hugging Face, and related tools.
Generate spectrograms and feature-panel visualizations from audio with the songsee CLI.
Create distinctive, production-grade frontend interfaces with high design quality. Use when the user asks to build web components, pages, or applications and the visual direction matters as much as the code quality.
Scan a codebase for deepening opportunities, present them as a visual HTML report, then grill through whichever one you pick.
Add documentation for a new AI provider — usage docs, env vars, Docker config, image resources.
Tests in real browsers via Chrome DevTools MCP. Use when building or debugging anything that runs in a browser. Use when you need to inspect the DOM, capture console errors, analyze network requests, profile performance, or verify visual output with real runtime data. Requires the chrome-devtools MCP server to be configured.
This skill should be used when the user wants to visualize data. It intelligently selects the most suitable chart type from 26 available options, extracts parameters based on detailed specifications, and generates a chart image using a JavaScript script.