Skill UI

This guide provides production-ready patterns for implementing the TwinMind AI memory and meeting intelligence REST API. It covers best practices for authentication, storing contextual memories, searching knowledge bases, and processing meeting transcripts to extract actionable insights. Use this when building robust, scalable AI-powered applications or standardizing team coding practices.

A comprehensive guide to installing and configuring the Vast.ai Command Line Interface (CLI) and REST API access. This skill is used for setting up new cloud integrations, managing API keys, and initializing access to GPU compute instances from the Vast.ai marketplace. It provides steps for CLI authentication, environment variable setup, and implementing a Python client for resource management.

Comprehensive guide for creating, managing, and automating preview deployments on Vercel. Learn how to utilize both the CLI and REST API to deploy unique, temporary environments for specific branches or pull requests. This is essential for pre-production testing, integrating into CI/CD pipelines, and sharing stable preview URLs with stakeholders before merging to main.

A comprehensive guide to configuring Vercel across Development, Preview, and Production environments. Learn how to scope environment variables, manage secrets, and automate multi-stage deployments using both the Vercel CLI and REST API. Covers setting up custom environments (e.g., Staging) and implementing environment detection in code for reliable application behavior.

A comprehensive, production-ready TypeScript wrapper for interacting with the Vercel REST API. This client provides typed methods for managing deployments, projects, environment variables, and domains. It includes robust features like standardized error handling, exponential backoff retry logic, and structured request patterns, making programmatic integration with Vercel reliable and type-safe.

Automated versioning strategy helper that activates on API development requests, guiding best practices, code/config generation, and validation for REST, GraphQL, OpenAPI, authentication, and API design patterns.

A comprehensive, multi-phase workflow for developing professional WordPress plugins. Covers foundational architecture, hooks, admin UI, database design, and REST API implementation. Crucially, it incorporates advanced WordPress 7.0 features, including Real-Time Collaboration (RTC) compatibility, AI Connector integration (OpenAI, Claude, etc.), and the Abilities API, ensuring modern, scalable, and secure plugins.

Provides comprehensive expertise for building robust WordPress sites. Specializing in custom theme and plugin development, implementing modern Gutenberg blocks, extending WooCommerce functionality, and managing the WordPress REST API. Core focus areas include advanced security hardening (nonces, sanitization, capability checks), performance optimization (caching, query tuning), and adhering strictly to WordPress coding standards.

Guides bug bounty hunters through REST, SOAP, and GraphQL API fuzzing to uncover authentication weaknesses, IDOR, injections, and endpoint bypasses while outlining practical reconnaissance and exploitation workflows.

Automate Benchling lab data workflows via the Python SDK or REST API: manage registry entities (DNA, proteins), inventory, ELN entries, workflows, and Data Warehouse queries for syncing and analytics.

Leverages PubChem’s PUG-REST API or PubChemPy to search 110M+ compounds by name, CID, or structure, fetch properties, perform similarity/substructure lookups, and access bioactivity or format conversions for cheminformatics workflows.

A powerful tool to scaffold and ship production-ready Model Context Protocol (MCP) servers directly from OpenAPI specifications. It supports Python and TypeScript, ensuring schema validation, safe evolution, and robust tool definition generation, eliminating the need for manual wrapper coding. Use it to expose existing REST APIs to LLM agents or build shared tool integrations.