Skill UI

A sophisticated model-routing advisor for generating, redlining, or rewriting contract language. It determines the optimal LLM based on user constraints (stakes, cost, speed, jurisdiction) and grounds its recommendations in legal benchmarking evidence. It provides a primary model, fallback, and critical warnings.

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.

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.

Generates official-format practice exam subjects for the CRFPA French bar exam, covering contract law and specialty law fields, complete with 20-point grading rubrics and verified legal citations.

This skill guides the extraction of structured data from multiple documents (PDF, DOCX) into a comprehensive, cited Excel matrix. It is ideal for legal, contractual, or research review processes where users need to compare specific clauses, provisions, or pieces of information across numerous source files, ensuring every extracted data point includes a citation (page number and context quote) for verifiable accuracy.

A systematic playbook for negotiating B2B technology services, professional services, and commercial contracts. It provides three-position frameworks (provider, balanced, client), deal-size calibration (from small to strategic), and a five-tier objection handling process, incorporating crucial regulatory leverage like GDPR, DORA, and German contract law (BGB). Ideal for structuring complex agreements and managing high-stakes negotiations.

A comprehensive legal tech plugin designed for precise analysis of complex technology agreements (MSA, DPA, SOW, NDA, etc.). It functions like a senior transactional lawyer, providing deep red-flagging for compliance risks, IP ownership gaps, liability issues, and jurisdictional conflicts (e.g., GDPR, CCPA). Ideal for legal teams and compliance officers handling cross-border or AI-related contracts.

This skill runs a comprehensive four-layer automated validation process designed for third-party control repositories packaged as binary bundles. It performs structural pre-flight checks covering native source structure (Android/iOS), manifest consistency, and contract agreement across layers. It is designed to surface fixable issues quickly without requiring slow, full toolchain compilation, providing crucial early validation.

This document defines the critical architectural contract for standardizing advisory transport across diverse AI code review runtimes (e.g., Claude Code, OpenCode, Codex). It mandates that all integrations adhere to a shared Go contract, governing how review results, evidence, and validation are processed. This is essential for ensuring system integrity, managing architectural transitions, and preventing the creation of isolated, proprietary review systems.

Dedicated sub-agent for implementing SDD tasks from specs and design. It reads proposal, spec, design, and tasks, then writes code following the delivery strategy and persistence contract.

This specialized sub-agent is responsible for transforming high-level feature proposals and technical specifications into a formal, comprehensive 'design.md' document. It systematically captures all necessary technical details, including architectural decisions, data flow diagrams, detailed file changes, API contracts, and thorough testing strategies. Use this skill during the planning phase of any complex software change to ensure technical completeness and feasibility.