Skill UI

This assistant specializes in complex cross-border and comparative legal analysis. It helps research legal questions across multiple global jurisdictions and provides a structured framework for evaluating legal risks. It utilizes the Legal Data Hunter MCP to access 13M+ legal documents covering case law, legislation, and doctrine from over 50 countries. The output is flexible, requiring mandatory inline citations for all legal claims, and emphasizes aggressive data quality reporting to flag gaps.

An internal, deterministic runtime for structured scholarly writing workflows (meta-paper-write). It processes JSON input to perform critical operations such as persisting sections, assembling LaTeX manuscripts, compiling PDFs using xelatex/bibtex, managing citations, and applying length expansions. It ensures artifact integrity and high-quality output for academic publications.

This tool guides users through a structured, Socratic interview process focused on product management principles. It systematically collects details about a product idea or requirement, culminating in the generation of a comprehensive Product Requirements Document (PRD) or Product Management document.

Runs a structured adversarial premortem simulation for UK civil litigation. It builds the strongest version of the case and then attacks it from four critical angles (procedural, substantive, evidentiary, strategic) to pinpoint exact failure modes and blind spots before opposing counsel does. Essential for pre-issue planning, settlement strategy, and litigation fund pitches.

This skill converts structured Seed specifications (YAML or JSON) into a comprehensive set of GitHub Issues. It is designed for team-based product management, automatically creating an Epic containing goals, constraints, and acceptance criteria, and breaking down acceptance criteria into manageable Task issues for development teams.

This robust fixture is designed to execute predefined tasks using a specified seed path and current working directory. It intelligently separates dispatch metadata within YAML frontmatter from the main content body, ensuring the router reliably loads execution parameters while ignoring potential interference from the body text. Ideal for structured testing and controlled execution workflows.

This skill automates the setup of continuous integration and continuous deployment (CI/CD) pipelines specifically for Power Pages solutions within the Power Platform. It creates pipeline configurations natively in Dataverse, eliminating the need for external YAML files or separate CI/CD infrastructure. It guides users through the Application Lifecycle Management (ALM) process, ensuring structured, automated deployment from development stages to production.

This skill automates the creation of a Dataverse publisher and solution, and systematically adds necessary Power Pages site components. It is crucial for managing the Application Lifecycle Management (ALM) and structured deployment of Power Pages sites, ensuring components are correctly packaged for export and import.

This skill automates the final deployment phase of an agent system. It converts a validated build sheet into four ordered JSON payloads (environment, agent, session, kickoff) and generates a resumable `launch.sh` script. Crucially, this process enforces API-key safety by requiring the user to run the script in their shell, pulling the Anthropic API key from the environment variable, thus ensuring the key never appears in logs or files. It provides a structured, multi-step launch sequence.

This skill provides a guided, hands-on tutorial to teach users the Ouroboros workflow. It guides the user through a structured process of refining vague ideas into precise, executable specifications (Seeds). By simulating an interview and exposing hidden assumptions, it reduces the inherent ambiguity in initial project planning, making it ideal for product development, AI prompt engineering, and initial concept validation.

This documentation serves as a catalog for integrating various AI powerups and structured features into administrative web panels. It guides developers on locating and correctly importing specific abstractions, such as `GetSettingsFeature`, ensuring type safety and proper implementation when extending system capabilities.

This catalog provides fundamental abstractions for integrating and managing a structured GraphQL playground within an administrative panel. It includes essential components like client factories and tab registries, allowing developers to easily access and interact with complex GraphQL APIs in a standardized, scalable manner.