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vvvv-patchingvvvv 补丁

Agent Skill

vvvv-patching 用于辅助前端页面、组件、样式和交互逻辑开发,适合在 OpenClaw 中需要维护前端项目、生成组件或检查界面实现时使用。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

8,679

周安装

369

GitHub Stars

公开资料未说明

下载量

3,041
OpenClaw

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

MIT-0

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:vvvv-patching(vvvv 补丁)
来源仓库:https://github.com/tebjan/vvvv-patching
安装命令:
openclaw skills install vvvv-patching
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 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install vvvv-patching

简介

vvvv-patching 辅助 vvvv gamma 可视化编程开发,提升界面与逻辑实现效率。

  • 适合处理数据流、节点连接及区域控制(如 ForEach、If、Switch)等任务。
  • 通过 clawhub 安装后,可生成组件或检查前端实现是否符合预期。
  • 使用前应核实是否会触发联网、命令执行或文件修改操作。
  • 建议参考原始仓库文档以掌握具体补丁结构和调试方法。

SKILL.md

name
vvvv-patching
description
Explains vvvv gamma visual programming patterns — dataflow, node connections, regions (ForEach/If/Switch/Repeat/Accumulator), channels for reactive data flow, event handling (Bang/Toggle/FrameDelay/Changed), patch organization, and common anti-patterns (circular dependencies, polling vs reacting, ignoring Nil). Use when the user asks about patching best practices, dataflow patterns, event handling, or how to structure visual programs.
license
CC-BY-SA-4.0
compatibility
Designed for coding AI agents assisting with vvvv gamma development
metadata
author
Tebjan Halm
version
1.0

vvvv Patching Patterns

Dataflow Basics

  • Left-to-right, top-to-bottom execution order
  • Links carry data between pads (input/output connection points)
  • Spreading — connecting a Spread<T> to a single-value input auto-iterates the node
  • Every frame, the entire connected graph evaluates; disconnected subgraphs are skipped

Both visual patches and C# source projects operate in a live environment — edits take effect immediately while the program runs. Patch changes preserve node state; C# code changes trigger a node restart (Dispose → Constructor). You can adjust parameters, add connections, and restructure patches while seeing results in real-time.

When to Patch vs Write C#

PatchCode (C#)
Data flow routing, visual connectionsPerformance-critical algorithms
Prototyping and parameter tweakingComplex state machines
UI composition and layout.NET library interop
Simple transformationsNative resource management

As a rule: patch the data flow, code the algorithms.

Regions

Regions are visual constructs that control execution flow:

RegionPurposeC# Equivalent
ForEachIterate over Spread elementsforeach loop
IfConditional executionif/else
SwitchMulti-branch selectionswitch
RepeatLoop N timesfor loop
AccumulatorRunning aggregationAggregate/Fold

Process Nodes in Patches

Process nodes are the primary way to add state to patches:

  • They have a Create region (runs once) and an Update region (runs each frame)
  • Internal state persists between frames
  • Can contain sub-patches for complex logic

Channels — Reactive Data Flow

Channels provide two-way data binding:

  • IChannel<T> — observable value container
  • .Value — read or write the current value
  • Channels persist state across sessions
  • Connect channels between nodes for reactive updates without explicit links

Event Handling

  • Bang — a one-frame true pulse (trigger)
  • Toggle — alternates between true and false
  • FrameDelay — delays a value by one frame (breaks circular dependencies)
  • Use Changed node to detect when a value changes between frames

Patch Organization

Naming Conventions

  • Use PascalCase for patch names and node names
  • Group related operations under a common category
  • Use descriptive names that indicate the operation (verb + noun)

Structure

  • Keep patches focused — one purpose per patch
  • Extract reusable logic into sub-patches
  • Use IOBox nodes for exposing parameters
  • Add Pad nodes to create input/output pins on the patch boundary

Common Anti-Patterns

  1. Circular dependencies — use FrameDelay to break cycles
  2. Too many nodes in one patch — extract sub-patches
  3. Polling instead of reacting — use Channels for reactive updates
  4. Ignoring Nil — always handle null/empty Spread inputs gracefully

For common patterns reference, see patterns.md.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

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

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能力 2

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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

补充不同宿主或平台的使用分布数据

能力 5

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

OpenClaw

84.77%
按下载量换算2,578

安全审计

VirusTotal

通过

ClawScan

通过

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通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

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来源信息

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