Skill UI

This comprehensive scaffold sets up a complete, modern Power Apps Code App project structure using Vite, React, and TypeScript. It guides developers through initializing the project with PAC CLI, configuring SDK integration, and setting up best practices for connecting to 1,500+ Power Platform connectors (e.g., Office 365, SharePoint, SQL Server). Ideal for building complex, code-first enterprise applications within the Power Platform ecosystem.

Transforms shorthand, quasi-code, or fuzzy natural-language notes into production-ready implementations, bridging collaborators with different expertise and ensuring robust, expert-quality output.

Use the DataForSEO MCP extension to pull live SERP, keyword, backlink, competitor, AI visibility, and on-page insights through targeted commands when real-time SEO data is required over static advice.

Guides optimizing content for AI Overviews, ChatGPT, Perplexity, and similar AI search systems by improving GEO visibility, llms.txt readiness, crawler access, and passage-level citability.

A comprehensive scaffold generator for building Model Context Protocol (MCP) servers using TypeScript and Node.js. This tool provides a complete, production-ready boilerplate, including proper project structure, dependency management (e.g., @modelcontextprotocol/sdk, zod), and implementation details for tools and resources. It supports both HTTP and stdio transport mechanisms, ensuring type safety, robust error handling, and best practices for modern backend development.

This tool generates a complete, structured TypeSpec declarative agent definition tailored for Microsoft 365 Copilot. It systematically creates necessary components including detailed role instructions, conversation starters, and a comprehensive list of required capabilities (e.g., WebSearch, OneDrive, Teams, CodeInterpreter). This ensures the agent is fully functional and ready for deployment within the M365 ecosystem.

Datamol wraps RDKit with Pythonic APIs tailored for drug discovery, offering SMILES/SELFIES/InChI parsing, standardization, descriptor and fingerprint calculation, clustering, 3D conformer workflows, and parallel/cloud-aware batch I/O while returning native rdkit.Chem.Mol objects.

deepTools is a Python command-line suite for NGS workflows, converting BAM files into normalized coverage, running QC (fingerprint, correlation, PCA), comparing samples, and rendering heatmaps or profiles for ChIP-seq, RNA-seq, and ATAC-seq analyses.

Extracts cognitive fingerprints from any text using the DHDNA framework to reveal reasoning styles, decision habits, values, and emotional tones, ideal for profiling authors, comparing thinkers, or unpacking how someone reasons.

Generates professional infographics by describing your idea, combining Nano Banana Pro AI generation with Gemini 3 Pro quality review and optional Perplexity Sonar research to ensure accurate, publication-ready visuals for marketing, reports, social, or internal use.

Offers MATLAB and GNU Octave guidance for matrix math, data import/export, visualizations, statistics, signal processing, differential equations, and general scripting—helpful when writing or translating MATLAB/Octave code and running scripts under either interpreter.

Design research posters with HTML/CSS templates that export to PDF or PPTX when PowerPoint format is explicitly requested, integrating responsive layouts and AI-generated visuals for quick preview and iteration.