AI tools for “agent”
873 results (tools & skills) · 201 ms · understood as category: Agents
Also searched as: automation, autonomous
This skill should be used when an automated agent's output is published under its own identity and carries weight in someone else's work, such as a reviewer whose verdict lands on a pull request, and the open question…
Add an AI agent / chatbot / RAG backend on Convex with @convex-dev/agent (durable threads, messages, tools, vector search). TRIGGER when the user wants an AI assistant/chatbot/agent or 'chat with my docs' feature. Calls…
Use the Agent class for multi-step tool loops, conversation history, streaming progress, and reusable LLM agents. Use when building agents with skills, structured output, stateful conversations, or streaming callbacks.
Customize NVIDIA Nemotron Voice Agent's Generic Pipecat example for healthcare appointment, five-field patient intake, or custom tool-calling workflows without a separate backend.
…any other skill or task)** when workspace root has no AGENTS.md and the repo is an AEM Cloud Service project. Creates AGENTS.md and CLAUDE.md (tailored via pom.xml). Applies on every user request until AGENTS.md…
Create, refine, or fix NVIDIA voice agents (Cascaded or Omni) with Pipecat or LiveKit. Use when building, scaffolding, or iterating on a real-time voice-agent pipeline, including speech (ASR/TTS) customization and cloud…
Connect a local AI agent (Claude Code, Cursor, or any MCP client) directly to a Voxel51 deployment over MCP, authenticating as yourself with your own account permissions. Use when a user wants to link their coding agent…
How the orchestrator dispatches Developer and QA subagents so a run's token cost stays bounded: a fresh subagent per round, a short deterministic handoff file, a context budget with a clean handoff, and bounded helpers…
Advanced AI agent benchmark scenarios that push Vercel's cutting-edge platform features — Workflow SDK, AI Gateway, MCP, Chat SDK, Queues, Flags, Sandbox, and multi-agent orchestration. Designed to stress-test skill…
Default guidance for building AI agents. Use for generic requests to build, create, scaffold, design, architect, or implement an AI agent, agent app, tool-calling agent, durable agent, multi-agent system, or scheduled…
eve framework guidance for durable AI agents and agent-powered applications. Use when creating, editing, or debugging an eve project, when the user explicitly asks for eve, or when the build-agents skill has selected…
Vercel Agent guidance — dashboard and Slack chat, code review, production investigation, approved actions, and product installation. Use when configuring or working with Vercel's AI assistant.
…ready a website, domain, or public MCP endpoint is for AI agents using Is Agentic, and read or act on the resulting report. Use when asked to check a site's agent readiness, get its Is Agentic score, fetch a scored…
Add agent-ready vision capabilities — dense captioning, detection, search, alerting, summarization — to an agent or application through a customizable, self-contained vision stack built on the NVIDIA VSS Blueprint. Use…
Create and manage standalone reusable AIDP agent Tools — SQL, Prompt, RAG, HTTP, Custom, and MCP tools that can be shared across agent flows by key. Use when the user wants to define a reusable tool (not inline in one…
…embeddings, semantic retrieval, or to feed a RAG_TOOL agent-flow node. This is the corpus/index layer; the agent that queries it is authored in aidp-agent-flows (RAG_TOOL) or…
Build AIDP agents in high-code Python with aidputils + LangGraph (the code-first alternative to the low-code agent-flow canvas). Use when the user wants to write an agent in Python, use LangGraph / create_react_agent /…
Discover, author, deploy, and run AIDP agent flows. Use when the user wants to list/inspect agent flows, or create/update/deploy/run a flow, manage sessions/guardrails, attach compute, or attach a remote MCP server to a…
Connects AI agents to remote Windows desktop applications on Amazon WorkSpaces Applications (AppStream 2.0) through the managed Agent Access MCP server, and guides reliable desktop automation. Covers connecting an agent…
Entry point for AI-agent work on AWS: pick a runtime, plan a migration for existing workloads, and build an executable POC — one phased flow. Triggers on: which runtime for my agent, AgentCore vs ECS vs EKS vs Lambda,…