langchain-architecture
Architect production-grade LLM applications using LangChain 1.x and LangGraph. Implement stateful AI agents, multi-step workflows, and custom memory systems for complex conversational and automation tasks.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
163 skills found
Architect production-grade LLM applications using LangChain 1.x and LangGraph. Implement stateful AI agents, multi-step workflows, and custom memory systems for complex conversational and automation tasks.
Automated code maintenance tool for React developers to resolve linting, formatting, and CI validation errors.
Break down complex development requests into sequenced, actionable tasks for multi-agent delegation in Claude Code environments.
Architectural governance and project standards for React 19 SPA development, ensuring consistency in stack integration, project structure, and agent execution rules.
A collection of design patterns for the Langroid multi-agent framework, covering agent configuration, tool handling, task orchestration, and external integrations.
Analyze and audit React projects for security, performance, correctness, and architecture issues with actionable diagnostics and scoring.
Orchestrate an automated PR review-fix loop. Dispatches subagents to analyze code, CI status, and comments, then applies iterative fixes until the PR reaches a passing state.
Expert LangGraph architect skill for designing stateful, multi-actor AI agent workflows with robust persistence, conditional branching, and ReAct patterns.
Build React applications using React Router's data mode (createBrowserRouter/RouterProvider) for loaders, actions, fetchers, and optimistic UI without the Vite framework plugin.
A structured repository of Agent Skills for context engineering, multi-agent architectures, and production-grade agent system optimization.
Core component library and design system patterns for consistent UI development using design tokens.
Implement an AI agent delegation architecture to keep your main context clean, reduce token costs, and isolate specialized infrastructure or API tasks.