Skill UI

Generates and iterates high-performing ad creative—headlines, descriptions, primary text, and full variations—for any platform, using performance data to discover winning angles, stay within platform specs, and scale creative production.

Guides REST API teams on naming resources, versioning, pagination, OpenAPI specs, error handling, headers, and rate limiting to keep services consistent, scalable, and client-friendly.

Guides users through a three-stage workflow for collaborative documentation, helping teams gather context, iteratively refine structure, and test readability before sharing specs, proposals, or decision docs.

Converts product or technical specs into detailed Notion implementation plans, tasks, and progress logs so Claude code can execute requirements tracking from inception to completion.

This skill provides comprehensive patterns for creating, maintaining, and validating OpenAPI 3.1 specifications for RESTful APIs. Use it for design-first API contract definition, generating specs from existing code, creating detailed API documentation, validating implementation conformance against the contract, and generating client SDKs. It ensures consistency across the entire API lifecycle.

This skill provides detailed guidance on authoring effective `specs.md` files for autonomous development workflows. It teaches users how to clearly define sprint goals, establish explicit scope boundaries (In/Out of Scope), and configure rigorous testing requirements (QA, UI Testing). This ensures that agentic development remains focused and prevents scope creep.

This comprehensive workflow guides users through the end-to-end process of utilizing cloud-based GPU computing resources on Vast.ai. It covers searching for ideal GPU offers based on specs and price, provisioning an instance, running complex training or inference jobs via SSH, collecting model artifacts, and crucially, destroying the instance to prevent unexpected billing. Ideal for deep learning training and research.

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.

Analyzes test coverage gaps by cataloging routes, components, APIs, and existing specs, then builds a coverage matrix, prioritizes missing areas, and recommends follow-up plans or auto-generation for missing tests.

Automates feature delivery by reading specs, designing architecture, coding in src/, adding tests, and preparing handoff notes while following structured checklists.

Use the iOS HIG Design Guide skill to sync Apple’s official Human Interface Guidelines, narrow in on relevant sections, and craft feature-specific UI/UX specs that cite sources, cover accessibility/localization, and make actionable product recommendations for iOS features.

This comprehensive guide details how to implement centralized security controls at the API gateway layer. It covers critical functionalities such as JWT authentication enforcement, advanced rate limiting, request/response validation against OpenAPI specs, and integrating Web Application Firewalls (WAF). The process is applicable across major platforms like Kong, AWS API Gateway, and Azure APIM, ensuring robust defense in depth for microservices architecture.