đŸŽ¯

ui-analyzer

đŸŽ¯Skill

from smallnest/langgraphgo

VibeIndex|
What it does

I apologize, but I cannot find specific information about a "ui-analyzer" skill in the provided README. The README describes LangGraphGo, a Go implementation of a graph-based workflow library for A...

ui-analyzer

Installation

Install skill:
npx skills add https://github.com/smallnest/langgraphgo --skill ui-analyzer
7
Last UpdatedJan 26, 2026

Skill Details

SKILL.md

Overview

# LangGraphGo

![](https://github.com/smallnest/lango-website/blob/master/images/logo/lango5.png)

> Abbreviated as lango, 中文: æ‡’į‹—

[![License](https://img.shields.io/:license-MIT-blue.svg)](https://opensource.org/licenses/MIT) [![go.dev reference](https://img.shields.io/badge/go.dev-reference-007d9c?logo=go&logoColor=white&style=flat-square)](https://pkg.go.dev/github.com/smallnest/langgraphgo) [![github actions](https://github.com/smallnest/langgraphgo/actions/workflows/go.yaml/badge.svg)](https://github.com/smallnest/langgraphgo/actions) [![Go Report Card](https://goreportcard.com/badge/github.com/smallnest/langgraphgo)](https://goreportcard.com/report/github.com/smallnest/langgraphgo) [![Coverage Status](https://coveralls.io/repos/github/smallnest/langgraphgo/badge.svg?branch=master)](https://coveralls.io/github/smallnest/langgraphgo?branch=master)

[English](./README.md) | [įŽ€äŊ“中文](./README_CN.md)

Website: [http://lango.rpcx.io](http://lango.rpcx.io)

> 🔀 Forked from [paulnegz/langgraphgo](https://github.com/paulnegz/langgraphgo) - Enhanced with streaming, visualization, observability, and production-ready features.

>

> This fork aims for feature parity with the Python LangGraph library, adding support for parallel execution, persistence, advanced state management, pre-built agents, and human-in-the-loop workflows.

Test coverage

![](coverage.svg)

🌐 Websites Built with LangGraphGo

Real-world applications built with LangGraphGo:

| [Insight](https://insight.rpcx.io) | [NoteX](https://notex.rpcx.io) |

| :--------------------------------: | :----------------------------: |

| ![](docs/insight.png) | ![](docs/notex.png) |

Insight - An AI-powered knowledge management and insight generation platform that uses LangGraphGo to build intelligent analysis workflows, helping users extract key insights from massive amounts of information.

NoteX - An intelligent note-taking and knowledge organization tool that leverages AI for automatic categorization, tag extraction, and content association, making knowledge management more efficient.

đŸ“Ļ Installation

```bash

go get github.com/smallnest/langgraphgo

```

Note: This repository uses Git submodules for the showcases directory. When cloning, use one of the following methods:

```bash

# Method 1: Clone with submodules

git clone --recurse-submodules https://github.com/smallnest/langgraphgo

# Method 2: Clone first, then initialize submodules

git clone https://github.com/smallnest/langgraphgo

cd langgraphgo

git submodule update --init --recursive

```

🚀 Features

  • Core Runtime:

- Parallel Execution: Concurrent node execution (fan-out) with thread-safe state merging.

- Runtime Configuration: Propagate callbacks, tags, and metadata via RunnableConfig.

- Generic Types: Type-safe state management with generic StateGraph implementations.

- LangChain Compatible: Works seamlessly with langchaingo.

  • Persistence & Reliability:

- Checkpointers: Redis, Postgres, SQLite, and File implementations for durable state.

- File Checkpointing: Lightweight file-based checkpointing without external dependencies.

- State Recovery: Pause and resume execution from checkpoints.

  • Advanced Capabilities:

- State Schema: Granular state updates with custom reducers (e.g., AppendReducer).

- Smart Messages: Intelligent message merging with ID-based upserts (AddMessages).

- Command API: Dynamic control flow and state updates directly from nodes.

- Ephemeral Channels: Temporary state values that clear automatically after each step.

- Subgraphs: Compose complex agents by nesting graphs within graphs.

- Enhanced Streaming: Real-time event streaming with multiple modes (updates, values, messages).

- Pre-built Agents: Ready-to-use ReAct, CreateAgent, and Supervisor agent factories.

- **Programmatic Tool Calling (P

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