shenjingnanCommunity·10 Agent Skills Included

xiaozhi-client

MCP client connecting Xiaozhi devices with aggregated servers

Connects Xiaozhi AI devices to multiple MCP servers through independent endpoints over WebSocket, HTTP, and Stdio. Provides a web dashboard, Docker deployment, and CLI commands to configure endpoints without manual JSON editing. Includes development skills for testing, type checking, commits, and documentation to speed up contribution workflows.

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npx skills add shenjingnan/xiaozhi-client --all -g -y

Available:

Instructs the AI agent on the project's architecture, build and test commands, coding standards, and how to use the bundled skills when working in this repository.

All Skills in This Repository (10)

Pure Emerald Level Indicators

📦 In Repo

shenjingnan

commit

Generate structured Git commit messages with subject, scope, and rationale.

issue-hunter

Detect code quality issues in a monorepo and file GitHub issues.

practical-development-validator

Validate code changes and feature designs against pragmatic development principles.

path-alias-validator

Detect and fix path alias usage in TypeScript/JavaScript projects.

dev-workflow-checker

Automate type checks, linting, and tests after code modifications.

todo-manager

Create, list, update, prioritize, and close architecture evolution todos linked to PRs.

type-validator

Enforce TypeScript strict mode and detect unsafe casts in codebases.

ci-validator

Run lint, type, spell, duplicate code, and test checks for xiaozhi-client.

api-docs

Generate MDX API documentation from TypeScript/JavaScript source code using decorators and comments.

localization-validator

Validate Chinese localization consistency in code comments, UI strings, and documentation.

Community

Basic

Frequently Asked Questions

FAQPage Schema

How to install xiaozhi-client?▼

Run `npx skills add shenjingnan/xiaozhi-client --all -g -y` in your terminal to install all skills in this suite globally.

What does xiaozhi-client do?▼

It is an open-source MCP client that connects Xiaozhi AI devices to multiple MCP servers, with a web UI for visual configuration and Docker support for easy deployment.

Can I manage multiple Xiaozhi endpoints?▼

Yes. Each endpoint is managed independently with direct access, letting multiple Xiaozhi devices share one MCP configuration without load balancing complexity.

Does it work with Cursor or Cherry Studio?▼

Yes. It can run as a standard MCP server, so clients like Cursor and Cherry Studio can connect to it directly.

Can I deploy xiaozhi-client with Docker?▼

Yes. Prebuilt Docker images and a docker-compose file let you start the service with a single command and configure it via the web UI on port 9999.