christian-bromann
@christian-bromann
Public Skills
deepagents-overview
by christian-bromann
Understanding Deep Agents framework - what they are, how to create them with createDeepAgent, and the agent harness architecture with built-in middleware for planning, filesystems, and subagents.
deepagents-skills
by christian-bromann
Creating and using custom skills with progressive disclosure, SKILL.md format, and the Agent Skills protocol in Deep Agents.
deepagents-cli
by christian-bromann
Using the Deep Agents CLI - terminal interface, persistent memory with AGENTS.md, project conventions, skills directories, and CLI commands.
langchain-embeddings
by christian-bromann
Guide to using embedding model integrations in LangChain including OpenAI, Azure, and local embeddings
deepagents-filesystem
by christian-bromann
Using FilesystemMiddleware with virtual filesystems, backends (State, Store, Filesystem, Composite), and context management for Deep Agents.
deepagents-hitl
by christian-bromann
Implementing human-in-the-loop approval workflows with interrupt_on parameter for sensitive tool operations in Deep Agents.
langgraph-graph-api
by christian-bromann
Building graphs with StateGraph, nodes, edges, START/END nodes, and the Command API for combining control flow with state updates
langchain-tools
by christian-bromann
Guide to using tool integrations in LangChain including pre-built toolkits, Tavily, Wikipedia, and custom tools
deepagents-skills
by christian-bromann
Creating and using custom skills with progressive disclosure, SKILL.md format, and the Agent Skills protocol in Deep Agents.
langchain-multimodal
by christian-bromann
Work with multimodal inputs/outputs in LangChain - includes images, audio, video, content blocks, and vision capabilities
langchain-tools
by christian-bromann
Define and use tools in LangChain - includes @tool decorator, custom tools, built-in tools, and tool schemas
langchain-structured-output
by christian-bromann
Get structured, validated output from LangChain agents and models using Pydantic schemas, type-safe responses, and automatic validation
langchain-vector-stores
by christian-bromann
Guide to using vector store integrations in LangChain including Chroma, Pinecone, FAISS, and memory vector stores
deepagents-cli
by christian-bromann
Using the Deep Agents CLI - terminal interface, persistent memory with AGENTS.md, project conventions, skills directories, and CLI commands.
deepagents-filesystem
by christian-bromann
Using FilesystemMiddleware with virtual filesystems, backends (State, Store, Filesystem, Composite), and context management for Deep Agents.
langchain-tool-calling
by christian-bromann
How chat models call tools - includes bindTools, tool choice strategies, parallel tool calling, and tool message handling
deepagents-todolist
by christian-bromann
Using TodoListMiddleware for task planning and tracking progress with the write_todos tool in Deep Agents for complex multi-step workflows.
langchain-rag
by christian-bromann
Build Retrieval Augmented Generation (RAG) systems with LangChain - includes embeddings, vector stores, retrievers, document loaders, and text splitting
langchain-rag
by christian-bromann
Build Retrieval Augmented Generation (RAG) systems with LangChain - includes embeddings, vector stores, retrievers, document loaders, and text splitting
langchain-chat-models
by christian-bromann
Guide to using chat model integrations in LangChain including OpenAI, Anthropic, Google, Azure, and Bedrock
langchain-models
by christian-bromann
Initialize and use LangChain chat models - includes provider selection (OpenAI, Anthropic, Google), model configuration, and invocation patterns
langchain-text-splitters
by christian-bromann
Guide to using text splitter integrations in LangChain including recursive, character, and semantic splitters
deepagents-memory
by christian-bromann
Implementing long-term memory in Deep Agents with cross-session storage using StoreBackend, CompositeBackend, and InMemoryStore for persistent data.
langgraph-graph-api
by christian-bromann
Building graphs with StateGraph, nodes, edges, START/END nodes, and the Command API for combining control flow with state updates