Skill UI

This skill provides complete, programmatic integration with the protocols.io API v3, enabling advanced management of scientific protocols. Use it for the entire protocol lifecycle, including discovery by DOI or keywords, creating new protocols, managing steps and materials, coordinating collaborative development, organizing workspaces, and tracking experiments. It covers authentication, file handling, and discussion management, making it ideal for automated lab workflows and scientific documentation systems.

Guides developers through Apify Actor creation, CLI authentication, template selection, and secure deployment, covering prerequisites such as setting APIFY_TOKEN, installing the CLI, scaffolding, dependency installation, schema configuration, testing, and pushing actors.

A comprehensive guide and skill for building robust, production-ready REST API endpoints. This skill covers full lifecycle development, including input validation, centralized error handling, authentication/authorization checks, CRUD operations, pagination, and generating proper API documentation. It ensures that back-end services are secure, scalable, and adhere to industry best practices.

Provision instant temporary Postgres databases via Neon’s Claimable Postgres, delivering pooled and direct DATABASE_URLs for quick local development, demos, prototyping, or tests without signup; API, CLI, SDK, Vite plugin, and browser flows can auto-write credentials into a .env file.

Guides how to identify tasks suited for LLMs, choose between agent-driven or traditional approaches, design a discrete pipeline, validate via manual prototypes, and craft structured prompts while using file-state tracking for rapid iteration.

Defines a regression-testing workflow for AI-assisted development that forces sandbox API routes, isolates tests from databases, and validates sandbox/production parity so recurring AI-introduced bugs are caught before release.

This guide enforces the 'spec-first' principle in software development, treating the specification as a non-negotiable contract. It outlines a rigorous, multi-stage workflow detailing mandatory sections (Functional/Non-Functional Requirements, Acceptance Criteria, API Contracts, Data Models) and bounded autonomy rules. Users learn how to define the system 'must do' before writing a single line of code, thereby minimizing rework and eliminating scope creep.

This advanced prompt acts as a structured guide for generating comprehensive, enterprise-grade technical implementation plans. It forces the detailed breakdown of a feature based on a PRD, covering system architecture (Mermaid diagrams), database schema design, API specifications, frontend component hierarchy, and deployment strategies, all while adhering to a monorepo structure. Ideal for large-scale SaaS development.

This tool provides comprehensive automation for core GitLab operations, streamlining the entire development lifecycle. Users can manage projects, track issues, review merge requests, manage branches, and monitor CI/CD pipelines. It leverages a unified API interface to handle complex workflows, ensuring efficiency in version control and collaborative development environments.

This skill provides a structured, multi-step workflow for integrating third-party APIs and SDKs. It systematically guides users through API discovery, project setup (including checking for guidelines and skills), obtaining integration guidance, and looking up specific model or endpoint details. It ensures that all critical development milestones (like SDK setup, authentication, and first API call) are tracked and implemented correctly, making external service integration robust and scalable.

This guide outlines comprehensive best practices for documenting Java code using Javadoc comments. It covers how to properly document public, protected, package-private, and private members, along with the correct usage of various tags like @param, @return, @throws, @see, and specialized syntax for code snippets and versioning. Following these standards ensures API documentation is accurate, maintainable, and adheres to professional Java development norms.

This comprehensive guide outlines best practices for developing high-quality, idiomatic, and maintainable enterprise applications using Kotlin and Spring Boot. It covers architectural patterns, dependency injection using primary constructors, managing state with data classes, implementing robust RESTful APIs, handling transactions, and leveraging Kotlin features like null safety and Coroutines for asynchronous programming. It also provides guidance on modern testing strategies (Kotest, Testcontainers).