Skill UI

Use this skill to perform read-only API calls for exploring, previewing, searching, and filtering structured datasets hosted on Hugging Face. It allows users to validate dataset availability, list splits, paginate large datasets, and retrieve comprehensive metadata and statistics, making it ideal for data validation and content extraction workflows.

A comprehensive framework guiding users through the entire Mergers & Acquisitions (M&A) lifecycle. It provides detailed checklists for due diligence (financial, legal, technical), valuation methodologies, key negotiation points, and post-deal integration planning, whether you are acquiring or being acquired. Essential for C-level decision-making and corporate strategy.

MolyKit is a comprehensive toolkit designed for building robust, cross-platform AI chat applications. It provides core utilities for integrating large language models (LLMs) like OpenAI, handling real-time SSE streaming responses, and managing complex cross-platform asynchronous patterns (PlatformSend, spawn()). The kit includes ready-to-use widgets for messages, prompt inputs, and avatars, making it ideal for developers creating sophisticated, multilingual chat experiences.

A comprehensive, cross-functional diagnostic tool that assesses overall organizational health across eight critical dimensions, including Financial, Product, People, and Engineering. It uses traffic-light scoring and industry benchmarks to provide deep, actionable insights, making it ideal for board reviews, risk assessment, and monitoring company vitality.

Pandas is a Python data analysis library that simplifies loading, cleaning, transforming, and analyzing structured datasets, making it ideal for data wrangling in analytics or engineering workflows.

This agent functions as a Senior Product Manager expert, providing comprehensive support across the entire product lifecycle. It utilizes over 30 proven PM frameworks (e.g., RICE, MoSCoW) and includes 12 templates and 32 essential SaaS metrics with exact formulas. It is designed for structured analysis, assisting with strategy definition, market discovery, roadmap planning, and data-driven decision-making.

A comprehensive guide and best practices for managing event handling and defining custom action patterns within Makepad applications. It covers centralized action processing (using MatchEvent), widget-to-widget communication, and implementing complex state logic, making it ideal for building robust chat clients or complex UI systems.

This skill provides best practices for managing application state and ensuring data persistence within large-scale applications, particularly for systems using Makepad architecture (Robrix/Moly). It details core structures like AppState, techniques for passing state through widget trees (Scope), and handling persistent data serialization (serde) across sessions, making it essential for building robust, multi-session UIs.

This sophisticated framework enables cross-functional 'what-if' scenario modeling. Unlike simple stress tests, it maps compounding adversity across all business domains (Finance, Product, Engineering, etc.). Use it when facing complex, multi-variable risks or making strategic decisions with significant downside potential, allowing teams to map cascading failure paths and define proactive hedges.

A rigorous, multi-phase auditing skill designed for blockchain protocols. It verifies whether the implemented smart contract code strictly adheres to the detailed specifications provided in whitepapers, design documents, or technical specifications. It performs exhaustive, line-by-line semantic analysis to identify gaps, inconsistencies, and deviations across logic, invariants, and security guarantees, making it essential for formal compliance checking in decentralized systems.

Vexor CLI is a powerful tool for developers needing to locate code, functions, or documentation sections within large repositories based on *intent* rather than exact keywords or file paths. It provides semantic discovery, making it invaluable when manual searching or simple text matching fails, helping developers understand the implementation logic across complex codebases.

Manages and coordinates complex workflows involving multiple AI agents and tasks. It efficiently distributes work across multiple workers, handles runtime errors, and intelligently merges disparate results into a unified output, making it ideal for large-scale, distributed AI computations.