Agent Skills by reofdev07
Showing 11 vetted skills indexed across 1 GitHub repositories.
langgraph-human-in-the-loop
Inserts human-in-the-loop checkpoints into LangGraph workflows for approval.
langchain-dependencies
Plan LangChain package versions and environment requirements for Python and TypeScript projects.
langgraph-persistence
Persist LangGraph state across conversations using checkpointer backends and thread_id.
langchain-middleware
Pauses LangChain agent tool calls for human approval via middleware.
langchain-fundamentals
Orchestrate LangChain agents with create_agent(), tools, and middleware patterns.
deep-agents-orchestration
Coordinate subagents, TodoList planning, and human approvals in Deep Agents workflows.
deep-agents-memory
Configures Deep Agents memory backends and routing for ephemeral/persistent hybrid use.
langchain-rag
Build end-to-end RAG pipelines with LangChain for document retrieval and answer generation.
framework-selection
Select the optimal AI framework layer for LangChain, LangGraph, or Deep Agents projects.
langgraph-fundamentals
Model agent workflows as directed graphs with LangGraph StateGraph.
deep-agents-core
Bootstrap Deep Agents applications with a centralized harness and YAML SKILL.md loading.