Skill UI

A comprehensive skill for integrating X (Twitter) data into applications, scripts, data pipelines, and AI agents. It supports advanced scraping tasks including tweet searching, user lookup, following export, and media downloading. Functionality is exposed via generated SDKs (Python, TypeScript, Go, etc.), REST endpoints, signed webhooks, and the MCP server for agent automation.

This skill provides comprehensive capabilities for working with Microsoft Word documents (.docx). It supports full document lifecycle management, including text extraction (via pandoc), raw XML manipulation, creating new documents, and complex editing. Specialized workflows are available for redlining, handling tracked changes, managing comments, and preserving intricate formatting, making it ideal for professional, academic, and business document processing.

A comprehensive skill for creating, editing, and analyzing complex spreadsheets (.xlsx, .csv, etc.). This skill excels in financial modeling, ensuring all calculations are managed via dynamic Excel formulas rather than hardcoded values. It supports data analysis using pandas, rigorous formatting standards, and complex formula integrity checks, making it ideal for financial reporting and data visualization.

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 provides a rigorous, data-driven framework to interrogate product roadmaps and feature commitments using six critical questions. It forces teams to think beyond mere features, focusing on Jobs To Be Done (JTBD), North Star Metrics, Product-Market Fit (PMF) signals, RICE scoring, opportunity cost, and defining clear kill criteria. It is ideal for quarterly planning, major feature launches, and assessing product pivots to ensure strategic alignment.

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.

A comprehensive 12-agent pipeline designed to guide users through the entire academic paper creation lifecycle. It supports all major disciplines, covering literature review, structured outlining, full-text drafting, citation compliance (multiple formats), bilingual abstract generation, and final professional formatting (LaTeX/DOCX/PDF). It includes advanced features like style calibration and simulated peer review to ensure high academic quality.

Simulates a comprehensive, multi-stage academic journal peer review process. This agent dynamically configures five expert reviewers (EIC, 3 peers, and a Devil's Advocate) to evaluate a paper across methodology, domain expertise, cross-disciplinary impact, and core arguments. It provides structured reports, editorial decisions, and revision roadmaps, supporting full reviews, post-revision verification, and calibration modes.

A powerful research skill that captures the current 'pulse' of any topic by aggregating discussions from multiple sources, including Reddit, Hacker News, the open web, and optionally X/Twitter. It forces the user to define topic specificity, desired angle (trend, sentiment, problems, opportunities), time window, and platform scope before executing. The output is a cohesive, citation-backed briefing that provides cross-platform pattern analysis, making it ideal for competitor intelligence, trend discovery, and audience sentiment analysis.

A comprehensive reference for the `uc` CLI, designed for managing decentralized, self-hosted clusters. Use this skill to deploy services via Docker Compose, configure advanced networking, and manage infrastructure components like machines, volumes, and ports. Supports Caddy ingress routing, WireGuard networking, and scaling across peer machines, making it ideal for robust, highly available self-hosting environments.