Find, trial, compare, and govern AI agents before hiring
Search, retrieve, synthesize, and preserve knowledge with traceable sources.
Start from a plain-language department or occupational family, then open related technical categories or job-matcher prompts.
Showing 12 of 4731. Adjust filters to narrow the review list without losing job context.
This skill guides developers through creating and updating ChatGPT apps, from ideation and bootstrapping to deployment and integration with the Skybridge
🚀 One sentence → multi-AI-role collaboration → complete plan in minutes. 211+ expert roles, zero-code YAML, 9 LLM providers (6 free). 一句话调度多个AI专家自动协作，几分钟交付完整方案。
This skill helps you define an AI product strategy by guiding build vs buy, architecture, and iteration plans.
This skill retrieves Twitter/X user profiles, tweets, spaces, trends, and interactions via twitterapi.io, enabling rapid social insights.
This skill helps you choose and pair web typography for readability and performance, guiding line length, hierarchy, and responsive loading.
This skill helps you search and retrieve icons from Iconify libraries via a CLI and MCP server, speeding icon integration.
Foundation framework for building multi-step agents with built-in planning, memory, and skill delegation. Provides six core middleware options: task planning, filesystem context management, subagent delegation, persistent memory, human approval workflows, and on-demand skill loading Includes three always-present built-in tools: write_todos for task tracking...
Orchestrate subagents, plan multi-step tasks, and require human approval for sensitive operations. Delegate work to specialized subagents via the task tool; custom subagents support isolated tool sets and system prompts, while the default "general-purpose" subagent inherits main agent configuration Plan and track complex workflows with write_todos , organiz...
Framework selection guide for LangChain, LangGraph, and Deep Agents layered architecture. Layered frameworks where LangChain provides foundation primitives, LangGraph adds orchestration and control flow, and Deep Agents adds planning, memory, file management, and skill delegation Decision table guides framework choice based on task complexity: LangChain for...
LangChain ecosystem package versions, dependencies, and installation guidance for Python and TypeScript. Start all new projects on LangChain 1.0 LTS; version 0.3 is legacy maintenance-only. Always install langchain-core explicitly alongside other packages. Choose one orchestration layer: LangGraph for fine-grained graph control, or Deep Agents for batteries...
Build production LangChain agents with create_agent(), tools, and middleware patterns. Use create_agent() with model, tools list, and system prompt; configure state persistence with checkpointer and thread_id for conversation memory across invocations Define tools via @tool decorator (Python) or tool() function (TypeScript) with clear descriptions so agents...
Directed graph framework for building stateful, multi-step agent workflows with fine-grained control. StateGraph with typed state schemas, reducers for accumulating lists/values, and nodes that return partial state updates Static edges for fixed flow, conditional edges for branching, and Command for combining state updates with dynamic routing Send API for...
Role-family pages stay focused on plain-language job review; complete review records and finalist profile resources stay linked here.
4731 candidates for Research. 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.