Build AI agents using NVIDIA Object-Oriented Agents framework with Python classes, typed methods, and LLM-driven generation
原文の言語: 英語
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SkillsMP は Aradotso/ai-agent-skills から 111 件の skill を収集しています。skill を開くとソースと詳細を確認できます。
収集済み skill 111 件中 40 件を表示しています。
Build AI agents using NVIDIA Object-Oriented Agents framework with Python classes, typed methods, and LLM-driven generation
原文の言語: 英語
Local-first personal AI agent with harness, loop, memory, and eval pillars
原文の言語: 英語
Real-time voice runtime for AI agents with full-duplex conversation, background task execution, and continuous presence
原文の言語: 英語
AxisAgentic framework for building, running, and collecting trajectories from long-horizon AI agents with trace-based execution and SFT export
原文の言語: 英語
Comprehensive resource and taxonomy for long-horizon AI agents research, covering foundations, harnesses, optimization, and applications
原文の言語: 英語
Multi-threaded automated ChatGPT free account registration and management panel with browser automation
原文の言語: 英語
Multi-threaded automated ChatGPT free account registration and management web panel with OAuth bypass using Codex
原文の言語: 英語
Multi-threaded automated ChatGPT Free account registration and management web panel with proxy, email, and captcha provider integration
原文の言語: 英語
Run and manage agent environments at scale using AgentENV's Firecracker-based microVM platform with snapshot, fork, and distributed storage support.
原文の言語: 英語
A comprehensive Chinese tutorial system for building AI Agents from zero to enterprise-level deployment, covering LangChain, LangGraph, Coze, Dify, RAG, and MCP.
原文の言語: 英語
Use Agent-as-a-Router (ACRouter) to intelligently route coding tasks to optimal models under performance-cost tradeoffs
原文の言語: 英語
Use Agent Chief to filter and manage AI agent notifications, alerts, and events with local-first LLM-based attention management
原文の言語: 英語
Control iOS, Android, TV, and desktop devices for AI-driven mobile app testing and verification
原文の言語: 英語
Install and manage 1,935+ AI agent skills for Claude Code, Cursor, Gemini CLI, Codex, Antigravity, and other coding assistants
原文の言語: 英語
Build, deploy, and iterate Claude Managed Agents from idea to production using Claude Code
原文の言語: 英語
Build and manage human+agent collaborative workspaces with AgentSpace, featuring AgentRouter scheduling, multi-agent coordination, and governance.
原文の言語: 英語
AI-powered SAST pipeline for autonomous vulnerability discovery using LLMs with multi-stage analysis, threat modeling, and SARIF output
原文の言語: 英語
Build agent-native applications with shared actions, SQL-backed state, tools, skills, and UI surfaces that work together.
原文の言語: 英語
Train and deploy Qwen-AgentWorld, a native language world model that simulates agentic environments across 7 domains (MCP, Search, Terminal, SWE, Android, Web, OS) for agent training and evaluation.
原文の言語: 英語
Build and orchestrate collaborative multi-agent teams using HiClaw's Manager-Workers architecture on Matrix with Kubernetes-native control.
原文の言語: 英語
Set up and manage collaborative multi-agent teams using HiClaw, a Kubernetes-native platform with Matrix rooms for human-in-the-loop AI coordination
原文の言語: 英語
Build and orchestrate collaborative multi-agent teams using HiClaw's Manager-Workers architecture with Matrix rooms, MCP servers, and Kubernetes-native deployment.
原文の言語: 英語
Deploy and orchestrate collaborative multi-agent teams using HiClaw's Manager-Workers architecture on Docker or Kubernetes with Matrix rooms for human oversight
原文の言語: 英語
Use Agent Apprenticeship to train AI agents through real-world tasks, reusable experience, and ecosystem learning signals
原文の言語: 英語
Deploy disposable AI agents for unattributable web interaction with automatic identity destruction
原文の言語: 英語
AI-powered Chinese college admission advisor with 240k+ real admission data records, multi-round dialogue, major filtering, and Zhang Xuefeng methodology
原文の言語: 英語
Local-first session search, analytics, and cost tracking for AI coding agents with SQLite storage
原文の言語: 英語
Evolve coding agent harnesses automatically using observability-driven iteration with NexAU components
原文の言語: 英語
FastAPI-based research agent service that orchestrates multi-step AI workflows with Tavily, arXiv, and Wikipedia tools using Postgres for task state management
原文の言語: 英語
Build and deploy reflective research agents with FastAPI, Postgres, and multi-step planning workflows using Tavily, arXiv, and Wikipedia tools
原文の言語: 英語
FastAPI research agent service with multi-step planning, Tavily/arXiv/Wikipedia tools, and Postgres task tracking
原文の言語: 英語
Multi-agent research system with planning, execution, and reflection using FastAPI, PostgreSQL, and LLM tools (Tavily, arXiv, Wikipedia)
原文の言語: 英語
Build and deploy FastAPI-based research agents with planning, tool-using (Tavily, arXiv, Wikipedia), and Postgres state management in a single container.
原文の言語: 英語
FastAPI research agent service that orchestrates multi-step AI workflows with planning, tool use (Tavily, arXiv, Wikipedia), and Postgres state management
原文の言語: 英語
Comprehensive catalog of 500+ AI agent use cases across industries with open-source implementations and framework examples
原文の言語: 英語
Self-hosted platform for running coding agents (Claude Code, Codex, Hermes) in isolated sandboxes with vault proxy and session management
原文の言語: 英語
CLI, SDK, and IDE plugins for Duel Agents - an LLM routing layer that runs prompts against multiple models and picks the cheapest winning answer
原文の言語: 英語
Bridge Feishu/Lark messenger with local Claude Code or Codex CLI for chat-based coding assistance with streaming cards and session management
原文の言語: 英語
Executable context layer for data and analytics agents - enables Claude Code, Codex, and AI agents to query data accurately through MCP with skills, memory and a semantic layer
原文の言語: 英語
Connect AI agents to MATLAB with MCP tools and curated skills for engineering and scientific workflows
原文の言語: 英語