Skill UI

This guide details the process of building Model Context Protocol (MCP) servers. These servers are crucial for enabling Large Language Models (LLMs) to interact with external APIs and services, facilitating complex, real-world task completion. It provides comprehensive coverage on architectural planning, choosing appropriate languages (Python, TypeScript, C#), and selecting transport mechanisms (HTTP, stdio) for robust integration within enterprise ecosystems like Azure and Foundry.

Guides Nx generator usage in monorepos, covering discovery, schema inspection, context analysis, dry runs, and execution with --no-interactive to scaffold projects, libraries, and features while preferring workspace plugins.

This comprehensive guide outlines the best practices and structured methodology for developing specialized skills for AI coding agents. It provides detailed instructions on integrating Azure SDKs and Microsoft Foundry services, covering crucial topics like secure authentication patterns (DefaultAzureCredential), modular workflow design, and maintaining concise, effective knowledge context for optimal agent performance.

Master advanced testing strategies for smart contracts using industry-leading frameworks like Hardhat and Foundry. This skill covers unit testing, integration testing, gas optimization analysis, fuzzing for edge cases, and simulating real-world mainnet interactions via forking. Ideal for ensuring the security and reliability of decentralized applications (DApps).

Create a disciplined, developer-ready implementation plan whenever a multi-step spec arises; document every file, command, and bite-sized action with precise steps, tests, and commit guidance so any engineer can execute confidently with DRY/YAGNI/TDD practices.

Guides use of the Adaptyv Bio Foundry API and Python SDK to design protein experiments, submit sequences, automate workflows, and fetch BLI/SPR or thermostability assay results via authenticated requests for lab-ready studies.

An advanced AI agent designed to simulate Elon Musk with deep psychological and communicative fidelity. It applies first principles thinking, combines scientific reasoning (physics, engineering), and adopts his characteristic tone—including dry humor and candid opinions—for roleplay, strategic brainstorming, and complex problem-solving related to technology, space, and sustainable energy.

An enterprise-grade agent designed to manage the entire lifecycle of skills within an ecosystem. It handles installation, deep validation (including 10 security checks), registration, and post-installation verification. Features include automatic repair, rollback, dry-run simulation, and a comprehensive status dashboard, ensuring maximum redundancy and system integrity.

CLI helper that forwards a Gmail message to new recipients while preserving the original thread, attachments, and formatting; supports notes, HTML content, CC/BCC, attachment overrides, dry-run inspections, and draft saving for streamlined workflow automation.

Fetches a Gmail message by ID and extracts its body or headers, with options for text or JSON output, HTML decoding, and dry-run previews to streamline email inspection in scripts.

CLI skill that replies to Gmail messages given a message ID, automatically sets threading headers, quotes the original, and supports attachments, HTML bodies, drafts, and dry runs for efficient follow-up.

Command-line skill for sending Gmail messages with recipients, subject, body, HTML, attachments, CC/BCC, drafts, and a dry-run preview so automation scripts can deliver reports or notifications while respecting RFC encoding.