Browse published AI skills maintained by crossxwill. Compare skill descriptions and follow each source repository for setup instructions.
Indexed skills
20Repository stars across indexed skills
100Repository forks
0Average repository stars per indexed skill
5Repository stars may repeat across skills from the same repository.
Build a Through-the-Door training set with reject inference using fuzzy augmentation, including PD-based sample weights; pairs with autogluon-tabularpredictor-fit for modeling the augmented data.
Official skill generator for VS Code Agent Skills; scaffolds new skills with correct directory structure and validation, and is the upstream dependency for authoring or modifying any other skill in this reposit...
Presentation creation, editing, and analysis. Use when the assistant needs to work with presentations (.pptx files) for: (1) Creating new presentations, (2) Modifying or editing content, (3) Working with layout...
Suite of tools for creating elaborate, multi-component chat-embedded HTML artifacts using modern frontend web technologies (React, Tailwind CSS, shadcn/ui). Use for complex artifacts requiring state management,...
Create beautiful visual art in .png and .pdf documents using design philosophy. You should use this skill when the user asks to create a poster, piece of art, design, or other static piece. Create original visu...
Render or build or compile Quarto .qmd files from the command line.
Applies a predefined brand color palette and typography rules to artifacts that need a consistent visual identity. Use it when brand colors or style guidelines, visual formatting, or company design standards ap...
Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. Use when the assistant needs to work with spreadsheets (.xlsx, .xlsm, .csv, .ts...
A set of resources to help me write all kinds of internal communications, using the formats that my company likes to use. Use this skill whenever asked to write internal communications (status reports, leadersh...
Guide users through a structured workflow for co-authoring documentation. Use when user wants to write documentation, proposals, technical specs, decision docs, or similar structured content. This workflow help...
Edit Quarto (.qmd) and Markdown (.md) files with proper nested code block handling to prevent parser errors and truncated output; standalone utility with no skill dependencies.
Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle...
Use DuckDB to query Parquet files, inspect metadata, join tables, and convert results to pandas for analysis; commonly precedes ydata-eda-profiling for EDA on extracted tables.
Comprehensive document creation, editing, and analysis with support for tracked changes, comments, formatting preservation, and text extraction. Use when the assistant needs to work with professional documents...
Build scikit-learn compatible custom estimators by following the official “rolling your own estimator” rules for __init__, fit/predict, validation, learned attributes, tags, and estimator checks; prerequisite f...
Create a concise plan. Use when a user explicitly asks for a plan related to a coding task.
Generate and compare ydata-profiling EDA reports with sampling, consistent random seeds, and HTML outputs; often follows duckdb-parquet-lab-workflow when data is queried from Parquet.
Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, artifacts, posters, or applications (examples include website...
Comprehensive PDF manipulation toolkit for extracting text and tables, creating new PDFs, merging/splitting documents, and handling forms. Use when the assistant needs to fill in a PDF form or programmatically...
Consolidated AutoGluon skill covering end-to-end TabularPredictor workflow (constructor, fit, predict_proba, fit_summary, save/load, set_model_best), binary threshold calibration and setting, sklearn wrapper in...
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.