langchain-ai/langchain-skills
These skills were imported into SkillJury from the public skills ecosystem.
deep-agents-memory
Pluggable memory and file backends for Deep Agents with ephemeral, persistent, and hybrid routing options.
langgraph-fundamentals
Directed graph framework for building stateful, multi-step agent workflows with fine-grained control.
deep-agents-core
Foundation framework for building multi-step agents with built-in planning, memory, and skill delegation.
deep-agents-orchestration
Orchestrate subagents, plan multi-step tasks, and require human approval for sensitive operations.
framework-selection
Framework selection guide for LangChain, LangGraph, and Deep Agents layered architecture.
langchain-dependencies
LangChain ecosystem package versions, dependencies, and installation guidance for Python and TypeScript.
langchain-fundamentals
Build production LangChain agents with create_agent(), tools, and middleware patterns.
langchain-middleware
Human-in-the-loop approval, custom middleware, and structured output patterns for LangChain agents.
langchain-rag
Complete RAG pipeline for document ingestion, embedding, retrieval, and LLM-powered response generation.
langgraph-human-in-the-loop
Pause graph execution for human review, approval, or validation, then resume with their input.
langgraph-persistence
Durable graph execution with thread-scoped checkpoints, state history, and cross-thread long-term memory.