Skill UI

Systematic code maturity assessment using Trail of Bits' 9-category framework, analyzing arithmetic safety, access controls, documentation, MEV risks, testing, and more to deliver evidence-backed scorecards and actionable recommendations.

This skill provides comprehensive tools for documenting and managing model performance on Hugging Face. It supports multiple methods for adding structured evaluation data, including extracting tables from README content, importing benchmark scores via APIs (like Artificial Analysis), and executing high-performance custom evaluations using advanced backends such as vLLM or lighteval. It ensures that all metadata is structured and compatible with model leaderboards and industry standards.

Analyze travel health risks for destinations, recommend vaccines and travel medicine, and generate multilingual emergency medical cards using WHO/CDC-style guidance. Useful for pre-trip planning, risk assessment, and post-travel monitoring.

A powerful utility for performing semantic searches across a large knowledge base of 105K+ skill cards. It allows users to find the most relevant skills based on natural language queries, supporting both Python API integration and Command Line Interface (CLI). This tool is zero-dependency and highly efficient for skill discovery and knowledge retrieval in development workflows.

This workflow integrates with the Ramp API for advanced corporate card and expense management. It allows users to programmatically issue virtual cards, set and modify spending limits, and perform card lifecycle actions such as suspension or termination. Ideal for automating corporate financial processes, expense tracking, and accounting synchronization.

This skill provides integration patterns for managing corporate cards and expenses using the Ramp Developer API via OAuth2. It allows developers to sync financial data, manage spending, and streamline accounting processes within their applications.

A comprehensive runbook detailing the integration patterns for the Ramp Developer API. This guide covers how to manage corporate cards, process expenses, and synchronize accounting data using OAuth2 authentication. It is essential for developers building automated financial tools that interact with corporate spending and billing information.

This skill provides observability and integration methods for managing corporate card data and expenses using the Ramp Developer API. It demonstrates how to perform API calls, handle OAuth2 authentication, and synchronize financial records. Ideal for developers building financial management workflows or needing visibility into corporate spending.

Generates a comprehensive, single-screen financial report in a self-contained HTML file. This skill is designed for analyzing key business metrics, including P&L summaries, MRR trends, KPI cards (Revenue, Gross Margin, Cash Runway), and top-accounts analysis. Ideal for quarterly or monthly financial reviews in SaaS or startup environments.

HyperFrames is a comprehensive framework that treats HTML as the source of truth for video production. It allows users to create complex video compositions, including animated title cards, dynamic captions synced to audio, advanced text-to-speech narratives, and sophisticated audio-reactive visuals (like beat synchronization). The tool manages the entire video workflow, from composition authoring and timing to scene transitions (crossfades, wipes) and final rendering.

This skill helps developers fix social sharing previews, ensuring that URLs render as rich, consistent cards across major platforms like Facebook, LinkedIn, X/Twitter, and WhatsApp. It provides standardized implementation for Open Graph (OG) tags and Twitter cards, crucial for improving SEO and discoverability.

This meta-skill manages the end-to-end generation of AI-powered short dramas from a given topic. It first drafts a detailed, shot-by-shot shooting script, pausing for user review and adjustments. After confirmation, it generates consistent visual assets (universal character identity and scene compositions) and renders the final video clips. The output includes the fully rendered MP4, subtitles, title cards, and the complete script file.