Skill UI

This skill guides users to create new Power Pages code sites (SPA) from scratch or using templates. It supports React, Angular, Vue, and Astro frameworks. The process covers requirements discovery, component planning, design, implementation, validation, and deployment. It ensures production-quality sites with live preview feedback loops and proper Git checkpoints.

Toolkit for comprehensive reading, editing, and creating Word documents (.docx) with visual quality control. Use for extracting content, precise typography, tables, diagrams, layout validation, and producing professional deliverables.

Generates formal, structured EU AI Act compliance assessment reports for legal files, audit trails, and regulatory inquiries. Supports multiple report formats, adaptive intake of system details, consistency validation, and cross-checks against regulation (EU) 2024/1689. Suitable for documentation and governance use.

Start or monitor an evolutionary loop that refines ontology and acceptance criteria across generations. Supports starting new loops, monitoring status, rewinding to previous generations, and managing AI agent workflows for iterative software development. It integrates with MCP tools for ontology refinement and acceptance criteria validation.

Orchestrates creation of a new Power Apps mobile app from a fresh Expo/React Native/TypeScript template targeting iOS and Android. Handles planning, architecture, Dataverse integration, native capabilities, connectors, navigation, and validation.

This skill manages the `manifest.json` for a .ppmplugin bundle. It acts as a critical pre-flight gate by validating the manifest structure, reconciling declared entrypoints against the target platform(s), and generating a build-ready staged copy. It supports two modes: validating an existing committed manifest, or authoring the manifest entirely from source code if none exists. It ensures the plugin's descriptor is correct before the actual build process.

This skill handles the deployment of a Dataverse solution zip file into a target environment. It supports standard imports and advanced staged imports for dependency validation before committing changes. Crucially, it incorporates a robust ALM plan gate to ensure proper deployment strategy execution, checking for plan existence and data freshness.

This document outlines the canonical contract for deploying model inference services on Itô compute. It details the secure handoff process of an immutable serving manifest after a compute booking is verified. The process enforces multiple strict gates, including entitlement checks, manifest integrity validation, idempotency key usage, and final health checks, ensuring robust and reliable deployment of advanced AI models.

This skill orchestrates advanced Machine Learning training workflows on dedicated compute clusters. It manages complex stages (pre-training, fine-tuning, RL) by ensuring strict adherence to immutable manifests, fresh booking entitlements, and multi-step confirmation gates. It acts as a canonical interface for job submission, emphasizing security, idempotency, and resource validation before execution.

A comprehensive skill set for performing offensive security assessments on TLS/SSL implementations. This includes identifying cryptographic weaknesses (like POODLE, DROWN, Heartbleed), testing for protocol downgrades, analyzing weak cipher suites, and bypassing security controls such as certificate pinning and improper validation. Essential for penetration testers and security engineers to audit network service integrity.

This is a synthetic, instructional fixture designed solely for verifying the delivery and access of community skills within the OpenSquilla live Skill Hub canary environment. It is crucial for testing platform capability (e.g., resource access validation) and should not be executed for actual functionality or command processing.

This deterministic gate performs an internal pre-compile readiness check for LaTeX manuscripts. It validates crucial elements such as document structure, citation presence, and a language-aware minimum body scale relative to the target page count. While it helps drive authoring repairs, it explicitly does not claim the final page count; the compile_pdf process remains the authoritative source for page validation.