Skill UI

This tool performs a comprehensive analysis of AI configuration file evolution within a Git repository. It tracks when specific AI configs were first introduced, charts monthly commit velocity related to AI features, highlights key PRs that shaped the development, and synthesizes the project's AI maturity phases. Ideal for mapping AI adoption timelines and assessing technical maturity.

Generates highly accurate, structured summaries from complex clinical notes, such as discharge summaries, SBAR reports, or problem lists. The core function is to anchor every generated claim to a specific source span within the original text, guaranteeing verifiability and eliminating hallucination. Essential for clinical documentation drafting and chart abstraction.

Creates an Agent Authority Charter to define permissions, delegation, approvals, escalation, and audit requirements for AI agents before enterprise or regulated deployment. Helps legal, compliance, risk, and product teams document what an agent may and may not do, prepare for human review, and ensure auditable governance across the agent lifecycle.

Builds and edits model-driven Power Apps from natural language intent, covering tables, columns, relationships, forms, views, charts, business rules, flows, and generative pages. Runs an interactive multi-turn authoring flow with plan approval and full build, and supports downloading deployed apps back into editable specs.

Assesses whether a FRIA is required under Article 27 of the EU AI Act for high-risk AI deployers, and structures the assessment: scope gating, affected groups, Charter rights, proportionality, safeguards, residual risk, DPIA cross-referencing, and notification duty.

This skill automates the process of organizing unstructured client data—including emails, meeting notes, and org charts—into a structured, coherent matter brief. It supports the entire legal process lifecycle, from initial client intake and scoping to mid-matter reconstruction. Use it to compile raw material into a proposal-ready document, eliminating the painful, time-consuming phase of manual data assembly.

A rigorous, verification-first methodology for citing facts from the post-WWII international military tribunals, including IMT, NMT, and IMTFE. This guide teaches users how to distinguish between legal instruments (e.g., London Charter vs. Tokyo Charter) and verifies claims against authoritative historical archives (e.g., Avalon Project, Blue/Green Series) to maintain the highest standard of academic accuracy in international criminal law research.

This powerful skill converts complex, dependency-tagged matter plans into interactive Gantt charts and critical path analyses. Essential for Legal Project Management (LPM), it allows users to model 'what-if' scenarios—such as regulatory delays or scope changes—to predict program impact, identify affected tasks, and draft necessary communications. It supports baseline creation, change tracking, and filtered views by jurisdiction or workstream.

This skill specializes in creating comprehensive C4 code-level documentation by analyzing code directories. It generates detailed function signatures, arguments, dependencies, and code structure information. It also produces Mermaid diagrams like class diagrams and flowcharts to visualize object-oriented or functional code structures. Use this for documenting complex software components and understanding internal architecture.

A comprehensive guide for designing and implementing professional, data-driven dashboards across web, iOS, and Flutter. It details core principles like modular grid layouts, establishing data hierarchy (KPIs, charts), and maintaining minimalist aesthetics. Includes specific code examples using CSS Grid, SwiftUI, and Flutter widgets to ensure optimal user experience and data clarity.

Generate, refine, validate, and render diagrams from natural language, notes, code, schemas, or existing diagram sources. Supports flowcharts, swimlanes, attack-path graphs, data-flow diagrams, architecture, and state machines using Mermaid, Graphviz, or PlantUML.

A comprehensive skill for creating, editing, and automating vector graphics and technical diagrams using LibreOffice Draw. It supports the native ODG format and facilitates seamless format conversion between ODG, SVG, PDF, PNG, and JPG. Ideal for generating flowcharts, organizational charts, and technical schematics, and for batch processing graphics operations via command-line or Python UNO scripting.