Skill UI

Tinte is an agent-native infrastructure designed for generating, compiling, and managing consistent design systems from a single source of truth. It maintains a graph of 13 semantic OKLCH color tokens, compiling them into multiple formats including shadcn/ui presets, VS Code themes, and terminal configurations. Use it to ensure brand consistency, extract themes from images (via AI), and generate code previews with professional styling.

An attorney-facing tool for conducting knockout/availability trademark searches across the United States (USPTO/TESS) and Canada (CIPO). This structured skill guides the user through collecting required intake data and analyzing search results to produce a preliminary availability memo (green/yellow/red verdict). It is designed strictly as assisted work product for licensed attorney review, not legal advice.

A comprehensive toolkit for the entire lifecycle of spreadsheet data, including creation, sophisticated editing, deep analysis, and visual reporting. It supports various formats (.xlsx, .csv) and is designed for professional tasks such as building complex financial models, generating reports with precise formatting, and analyzing raw tabular data while meticulously preserving formulas and structure.

A rigorous, standalone tool designed for explicit, blind, and adversarial code review. It executes the code target through two parallel, independent judges (Judge A and Judge B) with strict rules and limited fix rounds. This process ensures maximum scrutiny, providing a definitive, highly corroborated verdict (APPROVED or ESCALATED) that replaces standard review methods.

This skill provides a stable standalone fixture for Qoder, allowing users to inspect the active project using standard QwenPaw tools. It is designed for developers to verify project status and structure without external dependencies. Ideal for debugging and project analysis tasks.

TLC Discover transforms unshaped ideas into verdicts and design documents covering decisions, flows, and contracts. It helps teams research problems, understand feasibility, and decide whether to build before planning how. This tool prevents premature solution proposals and ensures concrete values for decisions, creating a plan anyone can follow without attending the original discussion.

Design, implement, review, or refactor native macOS 27 Golden Gate interfaces in SwiftUI or AppKit. Ensures apps match Apple's current macOS 27 UI kit with restrained Liquid Glass language, integrated windows, full-height sidebars, native toolbars, flat lists, and clear pane boundaries. Ideal for Figma design-to-code work and audits of boxed interfaces.

This skill guides developers to migrate .NET projects from checked-in .designer.cs files to using the Microsoft.CodeAnalysis.ResxSourceGenerator. It covers adding NuGet packages, removing generated designer files, updating MSBuild configurations, and handling special metadata like CustomToolNamespace.

This skill focuses on designing tools for AI agents to interact with the world effectively. It covers schema design, JSON Schema best practices, error handling, and description writing to optimize LLM performance. Key aspects include validation, the emerging MCP standard, and understanding that tool descriptions are crucial for agent functionality.

A comprehensive workflow for building autonomous AI agents, multi-agent systems, and orchestration patterns using frameworks like CrewAI and LangGraph. Covers agent design, implementation, tool integration, memory systems, and evaluation to create robust intelligent applications.

Expert in designing and building autonomous AI agents. Masters tool use, memory systems, planning strategies, and multi-agent orchestration. Ensures graceful degradation and clear failure modes. Capable of agent architecture design, tool calling, memory management, and complex task decomposition. Includes knowledge of ReAct loops, Plan-and-Execute patterns, and safety guardrails.

This toolkit provides six expert-level workflows for AI engineering, including prompt evaluation, context budget planning, RAG pipeline design, agent security audits, evaluation harness building, and product sense coaching. It transforms AI coding assistants into senior partners by offering structured methodologies, quantitative scoring, and decision frameworks. Suitable for optimizing LLM systems, designing secure agents, and planning product strategy before development.