Sundial Org

This skill conducts a literature review and crafts a CS research proposal by identifying assumptions, proposing alternatives, and outlining testable validation.

This skill guides ideation and implementation of neuro-symbolic reasoning, combining LLMs with symbolic solvers to design experiments or integrate solvers.

This skill helps you fine-tune large language models with the Tinker API, covering SFT, RL, LoRA, and vision-language workflows.

This skill guides you through tree-based research cycles as an AI co-scientist, ensuring hypothesis-driven, reproducible experiments across domains.

This skill helps you split large uncommitted changes into logical commits by proposing a safe, numbered plan and applying patches precisely.

This skill evaluates ML research papers following ICML guidelines, providing comprehensive, literature-grounded feedback across claims, methods, experiments,

This skill helps you curate high-quality fine-tuning data for LLMs by enforcing quality, formatting, and distribution guidelines.

This skill helps you design effective data visualizations by selecting chart types, encodings, colors, and interactions based on CS448B principles.