langgraph-dev-navigator: LangGraph-Dev-Navigator is a framework that grounds AI coding assistants in the executable truth of a specific, version-controlled codebase, reducing hallucinations and improving code reliability. It uses a local git submodule of the official LangGraph repository as ground truth, combined with a knowledge server providing Retrieval-Augmented Generation (RAG) and Knowledge Graph validation. The goal is to create a development environment where AI-generated code is more reliable and aligned with project-specific best practices.; agents-best-practices: A provider-neutral Agent Skill library for designing, auditing, and refactoring agentic harnesses compatible with Codex and Claude Code. It covers the full control plane of an agent runtime: typed tool design, permission checks, context management, memory, and observability. Targeted at developers building production-ready agent systems across any domain or AI provider.
Developing LangGraph applications with AI assistance that uses accurate, version-matched documentation
Generate MVP agent harness blueprints for any business domain (CRM, ops, finance, healthcare)