Skill UI

Guides use of the Adaptyv Bio Foundry API and Python SDK to design protein experiments, submit sequences, automate workflows, and fetch BLI/SPR or thermostability assay results via authenticated requests for lab-ready studies.

Combines ESM3 and ESM C protein language models to generate sequences, predict structures, condition functions, and extract embeddings via local or Forge API inference for protein design and engineering workflows.

A specialized assistant designed to act as a senior software architect. It critiques code generated by AI tools or rapidly prototyped code, moving beyond simple syntax checks. The auditor identifies deep structural flaws, technical debt, architectural weaknesses, and production risks (e.g., security vulnerabilities, poor error handling, tight coupling) that make code fragile or unsuitable for deployment.

A comprehensive toolkit designed to track and analyze content performance, engagement metrics, and Return on Investment (ROI) across major social media platforms. By utilizing specialized Apify Actors, this skill extracts deep insights from Instagram, Facebook, YouTube, TikTok, and more, helping users identify high-performing content, monitor growth, and measure marketing campaign effectiveness.

A comprehensive tool designed to discover, verify, and analyze potential influencers across major social media platforms, including Instagram, Facebook, YouTube, and TikTok. It helps brands identify niche creators, assess engagement rates, evaluate audience authenticity, and track performance metrics for successful brand partnerships and campaign planning.

This powerful tool facilitates comprehensive market research by extracting diverse data points from major consumer and business platforms, including Google Maps, Facebook, Instagram, Booking.com, and TripAdvisor. It is designed to provide structured data for market sizing, analyzing regional demand, tracking pricing trends, and validating consumer behavior, enabling users to identify actionable business opportunities and potential risks.

A powerful tool designed to scaffold and generate production-ready MCP servers directly from OpenAPI specifications. It treats OpenAPI as the single source of truth, automatically converting API paths and operations into standardized tool definitions. Supports both Python and TypeScript implementations, ensuring schema consistency, robust validation, and safe versioning for exposing internal APIs to LLM agents and other services.

AgentMail provides a comprehensive REST API email infrastructure specifically designed for AI agents. Agents can provision dedicated inboxes, send and receive emails, handle external service verifications (e.g., GitHub signups), and manage real-time inbound webhooks. The system includes a 'karma' mechanism to ensure high domain reputation and prevent abuse, making it reliable for complex automation workflows.

TaskEither is a functional programming utility from fp-ts designed for handling asynchronous operations that might fail. It provides a robust, type-safe mechanism for managing complex async workflows, such as chained API calls or promise wrappers. Instead of relying on traditional try/catch blocks where errors can be lost, TaskEither forces the developer to explicitly handle both success and failure paths, making error management predictable and composable.

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 specialized scripting language for Makepad, enabling advanced dynamic UI generation, complex workflow automation, and rapid application prototyping. It supports asynchronous operations (HTTP requests, timers) and is designed for integrating sophisticated, AI-assisted logic into application workflows.

Launches a Rapid Serial Visual Presentation (RSVP) speed reader. This tool displays text one word at a time, using ORP (Optimal Recognition Point) highlighting, which is designed to enhance comprehension and reading pacing. It is ideal for users who need a quick, focused reading aid for large blocks of text, such as prior conversation responses or provided arguments, rather than requiring document summary or formatting transformation.