HyunjunJeon
Community@hyunjunjeon · Seoul/Korea
AI Orchestrator | Product Engineer(Data & Applied AI Engineer)
Agent Skills by HyunjunJeon
Showing 31 vetted skills indexed across 3 GitHub repositories.
HyunjunJeonlanggraph-human-in-the-loop
Pause LangGraph state graphs with interrupt() and resume via Command(resume=...).
HyunjunJeonlangsmith-dataset
Create, manage, and upload evaluation datasets to LangSmith via CLI and SDK.
HyunjunJeonlangchain-dependencies
Automate dependency setup and environment configuration for LangChain projects.
HyunjunJeonlanggraph-persistence
Persist LangGraph state across steps and conversations with configurable checkpointers.
HyunjunJeonlangchain-middleware
Enforce human-in-the-loop approval for LangChain tool calls with middleware hooks.
HyunjunJeonlangchain-fundamentals
Guide developers in building LangChain agents with create_agent, tools, and middleware.
HyunjunJeondeep-agents-orchestration
Configure SubAgentMiddleware, TodoListMiddleware, and HumanInTheLoopMiddleware for coordinated deep agent workflows.
HyunjunJeondeep-agents-memory
Manage Deep Agents memory, persistence, and filesystem access via pluggable backends.
HyunjunJeonlangchain-rag
Build retrieval-augmented generation pipelines with LangChain components.
HyunjunJeonframework-selection
Guide agent framework selection across LangChain, LangGraph, and Deep Agents.
HyunjunJeonlangsmith-trace
Instrument applications and query LangSmith traces to diagnose issues.
HyunjunJeonlanggraph-fundamentals
Build stateful LangGraph agent workflows with nodes, edges, and conditional routing.
HyunjunJeondeep-agents-core
Document core APIs, harness architecture, and SKILL.md format for Deep Agents applications.
HyunjunJeonlangsmith-evaluator
Build and validate LangSmith evaluation pipelines with standardized evaluators and automated execution.
HyunjunJeonrag-agent
Build a RAG agent pipeline for document-grounded question answering.
HyunjunJeondeep-research
Coordinate parallel sub-agents through Plan, Delegate, Synthesize, Verify, and Report stages.
HyunjunJeonsql-agent
Translate natural language questions into read-only SQL queries with human approval.
HyunjunJeonml-pipeline
Builds, evaluates, and compares machine learning pipelines with 5-fold cross-validation.
HyunjunJeondata-analysis
Execute pandas code in LocalShellBackend to analyze tabular datasets.
HyunjunJeoncode-review
Automate structured code review feedback for pull requests.
HyunjunJeondeepeval-best-practices
Document DeepEval and DeepTeam best practices for LLM evaluation workflows.
HyunjunJeonlangchain-langgraph-best-practices
Provides guidance for building LangChain and LangGraph applications with proper architecture and workflows.
HyunjunJeonarxiv-search
Search arXiv papers by keywords, authors, categories, or boolean expressions.
HyunjunJeonlanggraph-docs
Fetch LangGraph Python documentation and synthesize relevant guidance.