Skill UI

A comprehensive guide and workflow tool for converting high-fidelity visual designs from Stitch into production-grade, component-based dashboards. Targets the modern stack including React 18, Vite, TypeScript, and TanStack Query. It integrates design tokens from DESIGN.md for styling consistency, supports complex data visualization, and includes patterns for Web3 integration (ethers/viem) for reading on-chain data.

A specialized skill for academic researchers and legal professionals, designed to search, map, and analyze French doctoral theses (thèses.fr/HAL). It supports multi-criteria querying (subject, director, jury, institution) and advanced academic mapping, allowing users to track the evolution of legal sub-disciplines and academic networks over time. Highly focused on French law.

This tool generates self-contained, interactive HTML "deal cards" that translate complex legal regulations into actionable negotiation and reference guides. It systematically distinguishes between mandatory legal obligations and negotiable implementation choices, making it crucial for contract negotiation support, client education, or internal compliance training across various jurisdictions.

A comprehensive skill for in-house legal teams to manage the entire lifecycle of selecting outside counsel. Users can draft structured Requests for Proposals (RFPs), evaluate complex firm submissions against weighted criteria, and produce a defensible, actionable shortlisting recommendation for General Counsel sign-off. Supports panel refreshes, matter-specific pitches, and market checks.

This skill acts as an expert model-routing advisor for reviewing legal agreements (NDAs, MSAs). Instead of reviewing the contract itself, it analyzes the document's nature—such as dominant sub-task (extraction, reasoning, redlining), stakes, and length—to recommend the optimal primary and fallback LLM. It provides comprehensive decision support, mitigating common errors and suggesting necessary human verification points.

This tool acts as a model-routing advisor for extracting structured data from complex legal documents, such as contracts. It analyzes key parameters—including stakes, cost, required speed, and document type (e.g., scanned vs. clean digital)—to recommend the optimal LLM model combination (Primary, Fallback, Avoid). It provides critical decision support, guiding users on which AI approach to use for extracting clauses, dates, and parties, without performing the actual extraction.

A model-routing advisor for complex legal research and analysis tasks, including issue-spotting, rule application, and case law interpretation. It guides users in selecting the optimal Large Language Model (LLM) by assessing critical factors such as stakes (risk), cost, speed, and data jurisdiction. It provides a structured recommendation (Primary, Fallback, Avoid) to ensure decision support, not legal advice.

This tool serves as a model-routing advisor for high-stakes legal translation tasks, covering contracts, statutes, and case law. It does not perform the translation itself, but instead provides expert decision support by recommending the optimal primary and fallback LLMs based on language pair, required privacy level, cost, and speed. Crucially, it emphasizes that human legal-linguist review is mandatory, as no single LLM can guarantee certified legal accuracy.

This utility provides fundamental text processing capabilities, including detailed word and character counting, frequency analysis, and various text transformations (e.g., uppercase, title case). It is designed for analyzing documents and batch processing files, supporting output in both JSON and human-readable formats.

This skill analyzes code for language and framework-specific security best practices. It is designed to help users write secure-by-default code, passively detect major vulnerabilities, or generate comprehensive, prioritized vulnerability reports. Supports languages including Python, JavaScript/TypeScript, and Go, ensuring robust security standards throughout the development lifecycle.

Generate validated Seed specifications from interview results using MCP tools, user interaction, and code inspection capabilities. Supports both interview-based and interview-less workflows with audit trail maintenance and QA score tracking.

An expert system for Social Emotional Learning (SEL) grounded in the CASEL framework. Provides comprehensive guidance on the five core competencies, curriculum design, teaching strategies, assessment tools, and localization practices. Supports educators, parents, school administrators, and researchers in implementing effective SEL programs.