Skill UI

Query the NIH Metabolomics Workbench via REST API to fetch metabolites, RefMet nomenclature, mass-spec searches, and detailed study datasets for biomarker discovery and metabolomics research.

Access RCSB PDB to search biomolecular structures via text, sequence, or geometry queries, download coordinate files in PDB/mmCIF/Binary formats, retrieve metadata, and batch-process entries for drug discovery, protein engineering, and structural biology pipelines.

Pydicom is a Python toolkit for reading, writing, and manipulating DICOM medical imaging files, helping teams extract pixel data, manage metadata, anonymize records, convert to standard formats, and integrate with PACS workflows in healthcare research and radiology applications.

PyOpenMS provides Python bindings for OpenMS to drive complete mass spectrometry workflows, covering data IO, spectral processing, feature/peptide-protein identification, quantitation, and metabolomics pipelines.

A comprehensive tool for generating, iterating, and scaling high-performing ad copy across major paid advertising platforms (Meta, Google, LinkedIn, etc.). Use this skill when you need to develop ad headlines, body copy, or creative variations, optimizing content based on funnel stage (Awareness, Consideration, Decision) and existing performance data to maximize conversion rates and pass platform reviews.

This skill guides the process of auditing and correcting critical HTML metadata elements, ensuring optimal performance for search engines and social media sharing. It covers page titles, meta descriptions, canonical URLs, Open Graph tags, Twitter cards, favicons, JSON-LD structured data, and robots directives. Use this when implementing or refining SEO metadata, fixing broken social previews, or setting up structured data.

Use this skill to perform read-only API calls for exploring, previewing, searching, and filtering structured datasets hosted on Hugging Face. It allows users to validate dataset availability, list splits, paginate large datasets, and retrieve comprehensive metadata and statistics, making it ideal for data validation and content extraction workflows.

This skill provides comprehensive tools for documenting and managing model performance on Hugging Face. It supports multiple methods for adding structured evaluation data, including extracting tables from README content, importing benchmark scores via APIs (like Artificial Analysis), and executing high-performance custom evaluations using advanced backends such as vLLM or lighteval. It ensures that all metadata is structured and compatible with model leaderboards and industry standards.

This skill provides expert guidance on Makepad's cross-platform development lifecycle. It helps users understand platform-specific APIs, manage conditional compilation (e.g., macOS, Windows, WebGL2), and handle OS-specific behaviors across desktop, mobile, and web environments. Use it when targeting diverse deployment targets or integrating platform-level features.

Attempts to expose an open-source context resource, but the current skill metadata only yields a 404 response, indicating the referenced content is unavailable or missing from the system.

This skill provides comprehensive expertise in paid advertising across major platforms like Google Ads, Meta, LinkedIn, and TikTok. It guides users through the entire campaign lifecycle, from defining core objectives and identifying ideal audiences (lookalikes, retargeting) to crafting high-converting ad copy (PAS, BAB). Learn best practices for campaign structure, budget allocation, and advanced optimization techniques based on key metrics like ROAS, CPA, and CTR.