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.
Showing 12 of 4988. Adjust filters to narrow the review list without losing job context.
This skill enables AI agents to register with Hive, fetch new threads periodically, analyze content, and post conviction comments via REST API.
Manage communication chaos with a purpose-built AI for engineering and product leads
Production-tested setup for Zustand state management in React. Includes patterns for persistence, devtools, and TypeScript patterns. Prevents hydration mismatches and render loops.
From Google Analytics to AI Insights in Just a Few Clicks
The truly Private AI platform for the Enterprise
An open-source long-horizon SuperAgent harness that researches, codes, and creates. With the help of sandboxes, memories, tools, skill, subagents and message gateway, it handles different levels of tasks that could take minutes to hours.
A structured AI Agent crash course with a complete learning path, practical projects, interview prep, LangChain/LangGraph/Coze/Dify/MCP/skills/RAG coverage, deployment, and fine-tuning guidance.
Local-first AI desktop agent for Windows, macOS, Linux & Android. Codework, multi-agent teams, desktop automation, 15+ AI providers. No Docker. No terminal. AI Companion. Agent Skills (SKILL.md). Migration-Importer, BYOK, from 6 to 60+. Recurring Autonomous AI Agent Tasks.
Use when searching academic papers, looking up citations, finding authors, or getting paper recommendations using the Semantic Scholar API. Triggers on queries about research papers, academic search, citation analysis, or literature discovery.
A production-focused agent framework that handles the full stack from single agents to multi-agent teams to workflow pipelines. Notable for clean MCP integration patterns (stdio, SSE, and streamable HTTP transports all supported), built-in persistence with SqliteDb or PostgresDb, and agentic memory that lets agents decide when to store context. The Learning...
This is a Chinese language guide to LangGraph 1.0 that covers the full stack: ReAct agents, state graphs, middleware for budget control and content filtering, human-in-the-loop workflows, memory systems, and multi-agent supervision patterns. It includes 11 chapters with working examples for RAG, web search, MCP server integration, and parallelization. The a...
Domain expertise for Ai2 Asta MCP tools (Semantic Scholar corpus). Intent-to-tool routing, safe defaults, workflow patterns, and pitfall warnings for academic paper search, citation traversal, and author discovery.
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.