LangConfigOfficial·12 Agent Skills Included

langconfig

Visual builder for LangChain agents and LangGraph workflows

Builds, tests, and deploys LangChain agents and LangGraph workflows on a drag-and-drop canvas without writing code. Eliminates manual agent configuration, prompt tuning, and workflow wiring through visual nodes, templates, and live execution monitoring. Exports finished workflows as JSON configs or standalone Python packages ready to run anywhere.

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npx skills add LangConfig/langconfig --all -g -y

Available:

Gives your AI agent the project layout, run commands, API endpoints, and shell syntax rules it needs to navigate and modify this codebase correctly.

All Skills in This Repository (12)

Pure Emerald Level Indicators

📦 In Repo

LangConfig

documentation

Generate Markdown READMEs, Google-style Python docstrings, and structured API references.

python-testing

Guide pytest and unittest test creation, debugging, and coverage improvement.

git-workflow

Guide teams to establish Git workflows with branching and commit standards.

langchain-agents

Configure LangChain agents with tool bindings, memory, and RAG integration.

langgraph-workflows

Design and manage stateful LangGraph workflows with nodes and edges.

code-review

Review code across organization, security, performance, and maintainability criteria.

debugging

Diagnose and resolve bugs across Python, JavaScript, and shell environments.

webapp-testing

Automate end-to-end web application testing with Playwright and related frameworks.

frontend-design

Design distinctive frontend interfaces with React, Tailwind, and design systems.

mcp-builder

Build MCP servers integrating external APIs with TypeScript or Python.

security-review

Review backend code for OWASP Top 10 vulnerabilities and secure alternatives.

langconfig-builder

Configure AI agents and workflows in the LangConfig visual platform.

Official

Advanced

Frequently Asked Questions

FAQPage Schema

How to install LangConfig?▼

Run `npx skills add LangConfig/langconfig --all -g -y` in your terminal to install all skills in this suite globally.

What does LangConfig do?▼

It is a visual platform for building, testing, and deploying LangChain agents and LangGraph workflows. You drag agents onto a canvas, connect them into multi-agent workflows, and watch executions live.

Can I build AI agents without coding?▼

Yes. LangConfig lets you configure models, prompts, tools, memory, and RAG settings through a visual interface, then export the result as runnable Python code.

Which models does LangConfig support?▼

It supports OpenAI GPT models, Anthropic Claude, Google Gemini, and local models via Ollama or LM Studio, with per-agent model selection.

Does LangConfig support multi-agent workflows?▼

Yes. It includes supervisor and swarm patterns, subagent delegation, human approval checkpoints, and eight ready-to-run workflow templates for research, coding, and content tasks.