Skill UI

Framework for AI media writing inspired by Synced. Focuses on paper-first reporting, quantitative data, academic plus industry parallelism, layered analysis, and productized content. Applies to deep tech reviews, model benchmarks, industry trend reports, and editorial commentary.

DataLad manages scientific datasets using Git and git-annex, handling large files efficiently by storing content remotely. It captures computational provenance for reproducible analysis, allowing users to clone, fetch, and publish datasets from repositories like OpenNeuro. Ideal for managing large data files and ensuring analysis reproducibility.

This skill performs pharmacokinetic and pharmacodynamic modelling, including non-compartmental analysis, compartmental fitting, and population PK. It helps derive exposure metrics, evaluate dosing regimens, and predict drug interactions using Python scripts. Suitable for analyzing concentration-time data and supporting clinical pharmacology workflows.

This skill provides a stable standalone fixture for Qoder, allowing users to inspect the active project using standard QwenPaw tools. It is designed for developers to verify project status and structure without external dependencies. Ideal for debugging and project analysis tasks.

Compare multiple Japanese NLP libraries, models, or datasets across user-selected criteria, rendered as a clear table with ratings. Ideal for choosing between alternatives like MeCab vs Sudachi, or evaluating tools for tasks such as morphological analysis, embeddings, or OCR.