Skill UI

This guide covers advanced retrieval strategies that significantly boost search quality beyond basic vector similarity search. Techniques include Hybrid Search (combining dense and sparse indexing), Reranking (improving result order), Relevance Feedback (guiding search with iterative user scores), and Maximal Marginal Relevance (MMR) for diversity. Use these methods when standard search results lack relevance, miss critical keywords, or exhibit poor precision.

This skill guides developers through creating a comprehensive refactoring plan and serving as a Request for Comments (RFC). It orchestrates detailed interviews, codebase analysis, and scope definition. It ensures the refactor is broken down into tiny, safe, incremental commits, culminating in a structured GitHub issue that serves as a definitive architectural and technical decision document.

This guide details how to scaffold complete, structured exercise directory setups, including mandatory sections for problems, reference solutions, and conceptual explainers. It outlines precise naming conventions, required files (like readme.md and main.ts), and a robust workflow that ensures the setup passes linting checks. It is ideal for creating new course modules, generating exercise stubs, or structuring large-scale educational curricula.

An advanced AI tool utilizing Meta's Segment Anything 2 (SAM2) model for interactive, pixel-perfect object segmentation. Users can click on any object within a frame or video to automatically generate precise masks. Key features include point/box prompting, video tracking across multiple frames, and seamless integration into Annotation Studio workflows, making it ideal for large-scale data labeling and video analysis pipelines.

A comprehensive guide for rapid incident response when Shopify integrations fail or behave unexpectedly. It instructs users to triage issues by checking the status page, diagnosing API connectivity, and handling common errors like rate limits (429) or expired tokens (401). Includes decision trees, immediate mitigation steps, and communication templates.

This assistant helps generate clear, concise, and highly structured reports for stakeholders and leadership. It guides users in creating professional status updates, progress summaries, and executive reports, ensuring all key metrics, risks, and necessary actions (asks) are highlighted for maximum clarity and impact.

Generates structured DESIGN.md files that serve as a single source of truth for AI-powered screen generation (Google Stitch). This skill translates complex, anti-generic design directives into precise semantic rules, covering typography, color calibration, motion physics, and layout principles to enforce a premium, high-agency UI/UX standard. It ensures outputs are sophisticated and avoid common AI design clichés.

This skill acts as a technical translator, helping Product Managers understand complex systems, codebases, APIs, and technical concepts. It goes beyond simply explaining technology by connecting technical details to real-world product implications (the 'so what'). It structures findings into summaries, workings, product impacts, and crucial questions for engineering, ensuring all insights are immediately actionable for product decisions.

This mode acts as a structured thinking partner, guiding users through ambiguous problems, complex decisions, and open-ended strategy questions. Instead of providing direct answers, it focuses on challenging assumptions, asking clarifying questions, surfacing multiple perspectives (e.g., stakeholder views), and helping the user structure their thought process using advanced techniques like reframing, pre-mortem analysis, and identifying critical constraints. Ideal for product managers and leaders who need to explore ideas without a clear path forward.

This skill synthesizes a comprehensive Product Requirements Document (PRD) from the current conversation context and understanding of the codebase. It guides the user through structuring the problem statement, defining detailed user stories, outlining implementation decisions, and suggesting test strategies. The final PRD is formatted and submitted directly as a GitHub issue, ensuring a structured handover from discussion to development specification.

This professional writing assistant specializes in creating clear, compelling, and highly structured documentation for Product Managers (PMs). It helps users draft, refine, and polish various deliverables—including product briefs, status updates, and executive emails—by adhering to best practices like leading with conclusions, maintaining extreme conciseness, and tailoring the tone to the specific audience (e.g., engineering team vs. executive leadership).

A state-of-the-art solution for real-time object detection using the advanced YOLO 2026 model. This skill detects 80+ COCO object classes (people, vehicles, animals) and outputs bounding boxes with high precision. It features automatic hardware acceleration, optimizing the model for various platforms (CUDA, MPS, OpenVINO, ROCm) to ensure maximum speed and efficiency, whether running on CPU, GPU, or Neural Engine.