Agent Skills by jxtngx
Showing 16 vetted skills indexed across 1 GitHub repositories.
jxtngxlanggraph-human-in-the-loop
Integrate human-in-the-loop control patterns into LangGraph workflows.
jxtngxlangsmith-dataset
Convert LangSmith trace logs into structured JSON evaluation datasets.
jxtngxlangchain-dependencies
Manage dependency versions and package selection for LangChain, LangGraph, and LangSmith projects.
jxtngxlanggraph-persistence
Manage durable state persistence and memory scoping for LangGraph agents.
jxtngxlangchain-middleware
Implement human-in-the-loop approval and custom middleware for LangChain agents.
jxtngxlangchain-fundamentals
Standardize AI agent creation with LangChain and LangGraph frameworks.
jxtngxfork-setup
Configure DGX Lab dashboard environments on NVIDIA DGX Spark hardware.
jxtngxdeep-agents-orchestration
Orchestrate multi-agent delegation with todo-list planning and human approval gates.
jxtngxdeep-agents-memory
Route agent memory operations across ephemeral and persistent storage backends.
jxtngxlangchain-rag
Orchestrate document ingestion, chunking, embedding, and semantic search for RAG pipelines.
jxtngxframework-selection
Evaluate project requirements to select LangChain, LangGraph, or Deep Agents.
jxtngxlangsmith-trace
Instruments Python and TypeScript apps to capture and query LLM execution traces.
jxtngxlanggraph-fundamentals
Design state schemas and conditional routing for LangGraph agentic workflows.
jxtngxadd-tool
Scaffold FastAPI routers and Next.js pages for DGX Lab dashboard tools.
jxtngxdeep-agents-core
Develop multi-step AI agents with LangChain and LangGraph middleware.
jxtngxlangsmith-evaluator
Create and deploy LLM agent evaluation pipelines within the LangSmith ecosystem.