Skill UI

An expert AI specializing in Slang shader programming for high-performance graphics and compute applications. This model excels at writing, reviewing, refactoring, and optimizing production-grade code for various graphics stages (vertex, fragment, compute, ray tracing, tessellation). It ensures cross-platform compatibility across major APIs (D3D12, Vulkan, Metal, OpenGL) and supports advanced concepts like generics, parameter blocks, and automatic differentiation. Use this skill when integrating shaders into C++ engines or requiring deep knowledge of low-level GPU pipelines.

This skill analyzes high-stakes strategic memos or business briefs by running them through multiple leading AI models (e.g., Claude, Codex, Gemini). It identifies consensus concerns, key supports, and critical divergences, providing a robust, multi-perspective assessment. Ideal for mitigating single-model bias in irreversible decisions like M&A, fundraises, or major pivots.

This skill formalizes the process of logging a founder's decision, turning in-session deliberation into durable company memory. It utilizes a two-layer memory model to store both approved, structured decisions (which feed into future planning) and raw, verbatim transcripts (for historical reference and preserving dissent). It supports structured decision records, success criteria, kill criteria, and follow-up scheduling.

This tool generates comprehensive API documentation directly from source code. It supports various API types, including REST, GraphQL, and RPC, and extracts crucial details like endpoints, parameters, data models, and authentication methods. It outputs standard formats such as Markdown, OpenAPI 3.0 YAML, and API Blueprint, streamlining the process of creating accurate and complete interface specifications for development teams.

Expert skill for building Model Context Protocol (MCP) servers and tools from scratch. Covers the full development lifecycle—from defining tool schemas and resources to implementation, testing, and publishing to registries. Supports robust patterns using TypeScript and Python for integrating custom capabilities into AI agents.

This skill automatically generates comprehensive unit tests based on provided source code. It supports multiple programming languages (Python, JavaScript, Java, Go, Rust) and popular testing frameworks (pytest, Jest, JUnit). Use it to improve code coverage, test boundary conditions, and validate error handling efficiently, saving manual testing time.