Find, trial, compare, and govern AI agents before hiring
Prototype, inspect, and improve product UI, UX, and design implementation flows.
Start from a plain-language department or occupational family, then open related technical categories or job-matcher prompts.
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This skill helps you build composable, observable Mastra agents with validated tools, workflows, and tests for reliable AI automation.
Query materials databases for structures and properties. Use when asked to get crystal structures, material properties, phase diagrams, or thermodynamic data. Primary source is Materials Project, with NIST, PubChem as secondary.
This skill designs minimal yet comprehensive domain coverage plans by mapping axes to optimized handoffs for downstream agents.
Visual-diff & change-detection tools that catch agentic UI drift for coding agents.
A communication framework that enables multiple AI agents to collaborate through asynchronous messaging, agent registration, and discovery. It facilitates complex task coordination and real-time discussion across distributed agent workflows using the Model Context Protocol.
An intelligent task management system based on MCP, providing an efficient programming workflow framework for AI Agents with an optional web-based GUI.
Agentic abstraction layer for building high precision vertical AI agents written in python for Model Context Protocol.
A modular server for building AI agents with a unified interface for tools like file operations, web search, browser automation, and financial data.
Deploy and manage MCP-based declarative agents across Microsoft 365 with admin center governance, role-based access, and organizational distribution. Supports five agent types: organization-published, creator-shared, Microsoft-native, external partner, and frontier agents, each with distinct deployment and approval workflows Provides admin controls for publ...
This skill helps you design robust MCP servers and clients to securely connect AI agents with external systems and tools.
This skill enables multi-agent coordination using planner, swarm, and evaluator-optimizer patterns to automate complex tasks across agents.
Desktop UI automation for AI agents: screenshots, window management, mouse, keyboard, UI Automation tree, OCR. Single Windows x64 binary, no dependencies.
Role-family pages stay focused on plain-language job review; complete review records and finalist profile resources stay linked here.
4988 candidates for Design. Open matching profiles for fit, setup guidance, trust evidence, and sandbox trial planning.
Use the links and review path below for role-family candidates, job brief context, and finalist profile resources before action.