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wendywendy 搜索

Agent Skill

wendy 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

499

周安装

21

GitHub Stars

56

下载量

175
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:wendy(wendy 搜索)
来源仓库:https://github.com/joannis/claude-skills
仓库路径:skills/wendy
安装命令:
npx skills add https://github.com/joannis/claude-skills --skill wendy
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/joannis/claude-skills --skill wendy

简介

用于查找、检索和筛选相关信息。

  • 适合在 Codex、Claude、Cursor、Gemini CLI 中根据关键词、任务场景或来源线索快速定位候选结果。
  • 通过 npx skills add 命令从指定仓库安装并使用。
  • 安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。
  • 可结合来源仓库和原始 README 进一步核验具体用法。

SKILL.md

WendyOS

WendyOS is an Embedded Linux operating system for edge computing. It supports:

  • NVIDIA Jetson devices (production with OTA updates)
  • Raspberry Pi 4/5 (edge devices)
  • ARM64/AMD64 VMs (development)

Learning About Wendy

Before helping with Wendy commands, run this to learn all available commands:

wendy --experimental-dump-help

This outputs a JSON structure with all commands, flags, and documentation.

Whenever you invoke a wendy command, use the JSON structure options to provide structured JSON output. This will also prevent interactive dialogs and errors. Use --json or -j to provide JSON output.

Common Tasks

  • Run an app: wendy run
  • Create a new project: wendy init
  • Discover devices: wendy discover
  • Update agent: wendy device update
  • Configure WiFi: wendy device wifi connect
  • Install WendyOS on an external drive: wendy os install
  • Set a device as default using wendy device set-default

wendy init — Create a New Wendy Lite Project

Creates a new Wendy Lite project with the required scaffolding:

wendy init

This sets up a new project directory with a wendy.json configuration file and the necessary structure for building and deploying a Wendy Lite app.

wendy run — Run a Wendy Lite Project

Builds, uploads, and runs a Wendy Lite project on a connected device:

wendy run

This command handles the full development cycle: compiling the app, transferring the binary to the device, and starting execution. Use --verbose for detailed build output.

wendy device wifi connect — Set Up WiFi

Configures WiFi credentials on a connected device:

wendy device wifi connect

This sends WiFi SSID and password to the device so it can connect to the local network. The device must be reachable over USB or an existing connection first.

Setup and Configuration

Wendy CLI connects to a device over gRPC (TCP) port 50051. If Wendy CLI is not installed yet, you can use brew install wendy to install it.

Devices are discovered over USB or LAN. If a device is not found, ask the user to check the connection or to connect it over USB. If a device is not yet installed, use wendy os install to install the OS to an external drive. For NVIDIA Jetson devices, the OS is commonly installed to NVMe.

Development

WendyOS is a Linux-based containerized operating system. It uses Linux containers to run your apps.

WendyOS uses Swift.org as its flagship language. This uses Swift Package Manager and the Swift Container Plugin to build and run your app. Wendy CLI will cross compile Swift for you.

Other programming languages are supported, but require the use of a Dockerfile to build your app.

Entitlements

WendyOS uses an entitlement system, managed through wendy.json, to manage permissions for your app. This reflects how your container will be set up on the device.

See references/wendy.json.md for detailed entitlement configuration.

Quick Start

  1. Create a new Swift project or navigate to an existing one
  2. Initialize wendy.json: wendy project init
  3. Add required entitlements (e.g., for a web server): wendy project entitlements add network --mode host
  4. Run on device: wendy run

Common Entitlements

EntitlementUse Case
network (host mode)Web servers, HTTP APIs, incoming connections
gpuML inference, computer vision (Jetson only)
videoCamera access, video capture
audioMicrophone, speakers
bluetoothBLE devices, Bluetooth communication

Remote Debugging

WendyOS provides built-in support for remote debugging Swift apps. Use wendy run --debug to include and launch a debugging session. This exposes a GDB server on port 4242.

Connecting from VS Code

  1. Run wendy run --debug
  2. In VS Code, use the CodeLLDB extension
  3. Connect to <device-ip>:4242

Observability

WendyOS runs a local OpenTelemetry collector on each device. Apps should report telemetry (logs, metrics, traces) to this local collector.

Configuration

Use HTTP protocol (not gRPC) for OTel exports:

import OTel

var config = OTel.Configuration.default
config.traces.otlpExporter.protocol = .httpProtobuf
config.traces.otlpExporter.endpoint = "http://localhost:4318"
config.metrics.otlpExporter.protocol = .httpProtobuf
config.metrics.otlpExporter.endpoint = "http://localhost:4318"
config.logs.otlpExporter.protocol = .httpProtobuf
config.logs.otlpExporter.endpoint = "http://localhost:4318"

let observability = try OTel.bootstrap(configuration: config)

Or via environment variables:

OTEL_EXPORTER_OTLP_PROTOCOL=http/protobuf
OTEL_EXPORTER_OTLP_ENDPOINT=http://localhost:4318

The local collector handles forwarding telemetry to your backend infrastructure.

Troubleshooting

ProblemSolution
Device not foundCheck USB/LAN connection, run wendy discover
Network access deniedAdd network entitlement with host mode
GPU not detectedAdd gpu entitlement (Jetson only)
Camera not foundAdd video entitlement, verify camera at /dev/video0
Build failsCheck Swift version compatibility, try wendy run --verbose

Reference Files

Load these files as needed for specific topics:

  • references/wendy.json.md - App configuration, entitlements (network, gpu, video, audio, bluetooth), common configurations, CLI commands

Further Reading

WendyOS documentation at https://wendy.sh/docs/

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

37.37%
按下载量换算65

Claude

28.84%
按下载量换算50

Cursor

17.04%
按下载量换算30

Gemini CLI

9.02%
按下载量换算16

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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