Christian Bromann
Community@christian-bromann · San Francisco
Building agent frameworks @langchain-ai. Head of the @webdriverio project. Open source & open standards advocate.
Agent Skills by Christian Bromann
Showing 25 vetted skills indexed across 1 GitHub repositories.
christian-bromannopentui
Generate SKILL.md files from LangChain documentation using the Bun-based agent runtime.
christian-bromannlanggraph-time-travel
Navigate LangGraph checkpoints to inspect history and replay execution.
christian-bromannlangchain-streaming
Stream LangChain agent output with token, state, and custom signals.
christian-bromannlangchain-embeddings-vectorstores
Convert text into embeddings and index them into vector stores for semantic search.
christian-bromannlangchain-chat-models
Initialize and invoke LangChain chat models across OpenAI, Anthropic, and Google.
christian-bromannlangchain-rag-overview
Document the two-step and agentic approaches to Retrieval-Augmented Generation with LangChain for building Q&A systems over documents.
christian-bromannlangchain-document-loaders
Load diverse document sources into LangChain Document objects for RAG pipelines.
christian-bromannlangchain-embedding-models
Embed texts into vectors for semantic search in LangChain projects.
christian-bromannlangchain-tools
Define and manage LangChain tools with structured schemas and usage patterns.
christian-bromannlanggraph-persistence
Save and resume LangGraph graph state across threads using checkpointers.
christian-bromannlanggraph-overview
Orchestrate stateful agents with a graph-based runtime in Python.
christian-bromannlangchain-agents
Create and configure LangChain agents with Python's create_agent.
christian-bromannlangchain-vector-stores
Index and retrieve embedded documents across multiple LangChain vector stores.
christian-bromannlanggraph-workflows
Define declarative LangGraph workflows with the StateGraph API.
christian-bromannlangchain-middleware
Implement custom middleware for LangChain agents with hooks and wrap methods.
christian-bromannlangchain-human-in-the-loop
Pause LangChain agent execution for human approvals and edits.
christian-bromannlanggraph-state-management
Manage LangGraph application state with TypedDict schemas and Annotated reducers.
christian-bromannlanggraph-graph-api
Execute compiled LangGraph graphs with invoke, stream, and batch patterns.
christian-bromannlangchain-structured-output
Enforce structured outputs for LangChain agents using Pydantic, TypedDict, or JSON Schema.
christian-bromannlangchain-knowledge-base
Build a searchable knowledge base from documents using LangChain.
christian-bromannlanggraph-streaming
Stream LangGraph graph state, tokens, and events in real time.
christian-bromannlangchain-text-splitting
Split long documents into LangChain-compatible chunks with RecursiveCharacterTextSplitter.
christian-bromannlangchain-chat-model-integrations
Consolidate LangChain chat-model initialization and configuration across providers.
christian-bromannlangchain-rag-agents
Create RAG-enabled LangChain agents using the create_agent API.