ProfessorGPTProfessorGPT

Güvenlik uyarılı skill

Bu skill destructive command içerebilir. Skill detaylarını ve kaynak içeriği incelemeden kurulum yapmayın, kopyalamayın, indirmeyin veya çalıştırmayın. Bilinçli ve kontrollü şekilde kullanın.

Tarayıcı bulguları

highcredential_thefthighcredential_theft
View source repo ↗
LangChain AI

Managed Deep Agents

langchain-ai/langchain-skills/config/skills/managed-deep-agents
LangChain AILangChain AI· v1.0.0
devopsResmi
Resmi Sağlayıcı Skill'iView repo

INVOKE THIS SKILL when building, testing, or deploying Managed Deep Agents in LangSmith. Walks a user through their first agent end to end — interviewing them about what they want to build, mapping it onto what MDA can actually do, then scaffolding and deploying it. Covers the file-based project layout; define_deep_agent / defineDeepAgent; instructions, skills, memory, identity, tools, MCP servers, connections, middleware, sandboxes, schedules, channels, and evals; the mda CLI; GitHub deployment

Dosyalar1 dosya
SKILL.md600 satır
Loading editor…

Kurulum

Önerilen

Tek komut — ajanınız otomatik olarak devreye alır.

Kurulum komutunu görmek için yukarıdan bir AI aracı seçin.

veya

Manuel Kurulum

Daha fazla adım

Dosyayı indirin ve ajanınızın sistem istemine yapıştırın.

Skill detayları

Versiyonv1.0.0
YazarLangChain AI
Kategoridevops
Skill IDlangchain-ai/langchain-skills/config/skills/managed-deep-agents

İlgili skill'ler

Deep Agents CoreINVOKE THIS SKILL when building ANY Deep Agents application. Covers create_deep_agent(), harness architecture, SKILL.md format, and configuration options.Deep Agents MemoryINVOKE THIS SKILL when your Deep Agent needs memory, persistence, or filesystem access. Covers StateBackend (ephemeral), StoreBackend (persistent), FilesystemMiddleware, and CompositeBackend for routing.Deep Agents OrchestrationINVOKE THIS SKILL when using subagents, task planning, or human approval in Deep Agents. Covers SubAgentMiddleware, TodoList for planning, and HITL interrupts.Deepagents Python QuickstartScaffold a minimal local Deep Agent in Python by following the official quickstart, using provider-native web search instead of Tavily. Use when the user wants to quickly build or try a Deep Agent locally.Deepagents Typescript QuickstartScaffold a minimal local Deep Agent in TypeScript by following the official quickstart, using provider-native web search instead of Tavily. Use when the user wants to quickly build or try a Deep Agent locally.Ecosystem PrimerINVOKE FIRST for any LangChain / LangGraph / Deep Agents agent building project before consulting other skills or writing any agent code. Required starting point for up to date info on framework selection (LangChain vs LangGraph vs Deep Agents vs hybrid composition), agent patterns, install, environment setup, and which skill to load next.