Skill UI

Query InterPro for protein family, domain, and GO annotations via a REST API with Python helpers, enabling function prediction, domain architecture mapping, and evolutionary classification insights for proteomic workflows.

Query the JASPAR REST API and Python helpers to retrieve TF binding profiles, convert PFMs to PWMs, and scan DNA sequences for high-confidence motifs, enabling regulatory variant interpretation, ChIP/ATAC analysis, and TF network construction.

Query the Monarch Initiative API to explore disease-gene-phenotype associations across species, enabling rare disease gene discovery, phenotype-to-gene mapping, and cross-species modeling via integrated HPO and model organism data.

This skill provisions instant, temporary PostgreSQL databases via Neon. It eliminates the need for user sign-up, logins, or credit cards, making it ideal for rapid local development, API prototyping, and isolated testing environments. Supports multiple methods including REST API calls, CLI commands, and SDK integration.

This skill generates a comprehensive, structured medical summary card for quick access during emergencies, travel, or hospital visits. It extracts critical user data, including severe allergies, active medications, chronic conditions, implants, and emergency contacts. Supports multi-format output (HTML, JSON, PDF) and prioritizes information by medical urgency (P0-P2) for rapid deployment in critical situations.

This comprehensive guide details how to establish secure and robust API endpoints using Expo Router and EAS Hosting. Learn best practices for handling server-side secrets (API keys, credentials), proxying third-party services (like OpenAI), executing secure database operations, and implementing complex business logic entirely on the server. It covers file structure, HTTP methods, and deployment to Cloudflare Workers.

This guide demonstrates how to implement clean and robust asynchronous pipelines in TypeScript using `TaskEither` from `fp-ts`. It solves the common problem of deeply nested, unmanageable `try/catch` blocks, allowing developers to compose sequential API calls and operations while correctly handling success and failure paths in a functional, immutable manner. Ideal for complex data fetching and workflow orchestration.

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 utility is designed to build reusable, composable command-line scripts for interacting with the Hugging Face API and the `hf` command line tool. It enables complex data workflows by supporting chaining, piping, and intermediate processing across models, datasets, and repositories, streamlining the automation of Hub tasks.

A comprehensive skill guide for implementing all forms of data fetching and networking in React Native/Expo environments. Covers best practices for using the native fetch API, managing state with React Query (TanStack Query), implementing robust error handling with retry logic, handling offline scenarios, and securely managing authentication tokens. Essential for building reliable, scalable mobile applications that interact with external APIs.

This guide provides expert knowledge on interacting with Odoo's external JSON-RPC and XML-RPC APIs. Learn how to handle authentication, perform model calls, and execute CRUD operations (Create, Read, Update, Delete) using practical examples in Python, JavaScript, and cURL. Ideal for building middleware or robust data synchronization tools.