Skill UI

Router skill that adds a data source or connector to a Power Apps code app. It asks users about their intended app functionality, recommends the best data approach in plain language, and routes to specialized skills such as Dataverse, SharePoint, Excel, Teams, OneDrive, or Office 365 Outlook. Ideal for quickly connecting a Power Apps project to the right data source.

Builds and edits model-driven Power Apps applications from natural-language intent, covering tables, columns, relationships, forms, views, charts, and more. Runs an interactive multi-turn authoring flow: environment selection, jobs-to-be-done, app spec authoring, guardrail lint, plan approval, and generation/deployment.

Autonomous agent that builds a complete Power Automate flow from a natural language description. It discovers environments, connectors, and connections, generates a validated flow definition, creates the flow, and optionally publishes it. Ideal for accelerating low-code automation delivery with minimal manual effort.

A comprehensive guide to writing custom shaders in Godot 4.x using the Godot Shading Language. Learn to create advanced 2D (canvas_item) and 3D (spatial) visual effects, implement post-processing using screen textures, and manage uniforms and animations. Covers the core workflow, built-in functions, and common pitfalls for high-performance graphics.

This skill generates high-quality, styled code screenshots by calling the ray.tinte.dev API. It allows users to convert raw code snippets into professional PNG images, supporting multiple programming languages (e.g., Python, JavaScript, TypeScript), customizable themes, and various styling parameters like font size and padding. Use this when the user explicitly requests code images, code snippets as pictures, or mentions 'ray' to visualize code.

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.

Runs a comprehensive security scan on a live, deployed Power Pages site. It analyzes the site's public surface for vulnerabilities, fetching the latest report and providing a plain-language summary of findings, categorized by severity. Ideal for auditing, testing, or assessing the safety of a production environment.

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.

Apply Eric Evans-inspired Domain-Driven Design rules for modeling complex domains. Define bounded contexts, protect ubiquitous language, and design aggregates. Use this skill for strategic domain modeling, context mapping, repositories, and domain services before making design or code decisions.

EarDraft transforms reading-oriented prose into listening-optimized text for flat, neutral vocal delivery (TTS, podcasts, audiobooks, CLE audio). It handles legal materials by expanding citations, symbols, and footnotes, and supports multiple languages and output formats including plain text, ElevenLabs tags, and SSML for Amazon Polly, Google Cloud TTS, and Azure.

A professional-grade 'Living Pipeline' that integrates advanced AI reasoning into the SDLC. It provides autonomous guardrails for system security, cloud cost management (FinOps), and Kubernetes compliance. It audits Linux Kernel patches for memory vulnerabilities, detects cost drifts in Terraform plans, and generates hardened K8s manifests from natural language policies.

A set of behavioral guidelines derived from Andrej Karpathy's observations to help users writing, reviewing, or refactoring code with Large Language Models (LLMs). It guides developers to avoid overcomplication, make surgical changes, explicitly surface assumptions, and define verifiable success criteria, promoting clean, simple, and robust code development.