Create, style, export, and validate publication-quality scientific and technical figures. xy is the preferred default (matplotlib.pyplot-compatible for easy migration); matplotlib/seaborn/plotly also supported. Use when the user asks for a "publication…
Guide for creating, validating, improving, and benchmarking skills. Use when users want to create a skill from scratch, edit or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's…
Generate comprehensive database schemas with proper relations, migrations, and ORM/ODM models for PostgreSQL, MongoDB, and SQLite. Use when creating database schemas that integrate with FastAPI applications, including SQLAlchemy models for SQL databases,…
Comprehensive guide for working with SQLModel, PostgreSQL, and SQLAlchemy in FastAPI projects. Use when working with database operations in FastAPI including: (1) Defining SQLModel models and relationships, (2) Database connection and session management, (3)…
Language-agnostic behavioral guidelines to reduce common LLM coding mistakes. Use for ANY coding task (all languages) to avoid overcomplication, make surgical changes, surface assumptions before coding, and define verifiable success criteria. Applies…
Detect and eliminate generic, low-quality "AI slop" patterns in natural language, code, and design. Use when REVIEWING existing content (text, code, or visual designs) for quality issues, cleaning up generic patterns, or establishing quality standards.…
Comprehensive Python development skill covering coding standards, CLI development, linting, testing, debugging, refactoring, code review, auditing, documentation, project planning, and bulk operations. Use when writing, reviewing, refactoring, debugging, or…
Parse, convert, chunk, and analyze documents using Docling. Use this skill when the user provides a document (PDF, DOCX, PPTX, HTML, image) as a file path or URL and wants to: extract text or structured content, convert to Markdown or JSON, chunk the document…