soba-labs/langchain-agent-skills

1

langgraph-agent-patterns Implement multi-agent coordination patterns (supervisor-subagent, router, orchestrator-worker, handoffs) for LangGrap…

soba-labs/langchain-agent-skills

63

2

langgraph-state-management Design state schemas, implement reducers, configure persistence, and debug state issues for LangGraph applications. U…

soba-labs/langchain-agent-skills

32

3

langgraph-error-handling Implement LangGraph error handling with current v1 patterns. Use when users need to classify failures, add RetryPolic…

soba-labs/langchain-agent-skills

30

4

langgraph-testing-evaluation Use this skill when you need to test or evaluate LangGraph/LangChain agents: writing unit or integration tests, gener…

soba-labs/langchain-agent-skills

30

5

deepagents-setup-configuration Initialize, validate, and troubleshoot Deep Agents projects in Python or JavaScript using the `deepagents` package.

soba-labs/langchain-agent-skills

28

6

langgraph-project-setup Initialize and configure LangGraph projects with proper structure, langgraph.json configuration, environment variable…

soba-labs/langchain-agent-skills

27

7

langsmith-trace-analyzer Fetch, organize, and analyze LangSmith traces for debugging and evaluation. Use when you need to: query traces/runs b…

soba-labs/langchain-agent-skills

24

8

deepagents-planning-todos Use the write_todos tool effectively for task planning and decomposition in Deep Agents. Use when users want to (1) i…

soba-labs/langchain-agent-skills

22

9

langsmith-deployment Deploy and operate production agent servers with LangSmith Deployment. Use when work involves choosing Cloud vs Hybri…

soba-labs/langchain-agent-skills

22

10

skill-creator Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an ex…

soba-labs/langchain-agent-skills

20