Skill UI

Creates assumption-based proto personas from available research, market signals, and stakeholder insights to align teams early in product development and surface validation gaps.

This command guides the entire lifecycle of major feature development, providing a structured, multi-phase workflow. It helps users move a feature from initial concept (research) through planning, implementation, and progress tracking. Use it when you need to coordinate status, next steps, and phased delivery for complex features.

A comprehensive guide for creating high-value competitor comparison and alternative pages. Designed for SEO and sales enablement, this skill covers multiple formats (You vs Competitor, Competitor Alternatives, etc.), emphasizing deep research, trust-building content, and modular architecture to capture competitive search traffic and guide users toward conversion.

This comprehensive skill guides you through the entire content lifecycle, from initial research and competitive analysis to drafting a full piece and finally performing SEO optimization. It ensures the output is a structured, authoritative, and publish-ready article, perfect for marketing teams creating technical blogs, guides, or long-form content.

This skill provides comprehensive tools for AI engineers and researchers to publish, manage, and link research papers directly on the Hugging Face Hub. It supports creating dedicated paper pages, linking papers to corresponding models and datasets, claiming authorship, and generating professional, markdown-based research articles with LaTeX support. Use it to streamline the entire academic publishing workflow from initial draft to final publication.

Literature Review Tool helps researchers gather and synthesize key insights from scholarly texts, highlighting patterns and critical arguments to accelerate literature surveying workflows even when structured content is initially unavailable.

Analyzes research papers to break down structure and summarize key points, offering citation highlights and insights for desk research or literature review planning.

Provides a concise quantitative analysis experience for financial or research scenarios by structuring numerical data insights and interpretations.

SciPy provides open-source algorithms and utilities for scientific computing, including integration, optimization, statistics, and signal processing, enabling researchers and engineers to build reliable numerical applications.

A systematic skill for identifying similar vulnerabilities and bugs across large, complex codebases. It guides the user through generalizing initial bug patterns using techniques like CodeQL and Semgrep, ensuring comprehensive security audits beyond the initially discovered flaw. Ideal for advanced security research and robust code auditing.

Batch-categorize uncategorized transactions by clustering similar descriptions, researching unknown merchants, and creating rules or annotations so future payments auto-classify with minimal manual review.

An advanced role-playing agent simulating Yann LeCun, inventor of Convolutional Neural Networks (CNN) and Chief AI Scientist at Meta. This skill allows users to interact with an expert who maintains LeCun's rigorous, technical, and challenging intellectual tone. Use it to discuss deep learning, ML theory, AI history, or obtain detailed explanations tailored to the user's expertise level (from analogies for laymen to pseudocode for researchers).