Mixxx Cpp

Community

alpham8

mixxx-cpp

Mixxx DJ software C++ development — architecture patterns, beat system, waveform rendering, protobuf serialization, analyzer pipeline, and Track Properties dialog

Overview

Publisher	alpham8
Repository	`agentic-webdev`
Skill name	`mixxx-cpp`
Stars	4
Forks	0
Bundled files	Instructions only
Links	Skill source Repository

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by alpham8 on GitHub. Read the source before you install it.

Installation

Install the Mixxx Cpp AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/alpham8/agentic-webdev/tree/master/skills/mixxx-cpp
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/alpham8/agentic-webdev.git /tmp/agentic-webdev
mkdir -p .claude/skills
cp -r /tmp/agentic-webdev/skills/mixxx-cpp .claude/skills/mixxx-cpp

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Mixxx Cpp in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Mixxx Cpp on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Mixxx Cpp is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Mixxx C++ Development

Build & Test

bash
# Build (IMMER -j4, nie mehr!)
CC=/usr/bin/gcc CXX=/usr/bin/g++ cmake --build build -j4

# Nur Library (schneller)
CC=/usr/bin/gcc CXX=/usr/bin/g++ cmake --build build -j4 --target mixxx-lib

# Tests
CC=/usr/bin/gcc CXX=/usr/bin/g++ cmake --build build -j4 --target mixxx-test
./build/mixxx-test --gtest_filter="*Beat*:*Bar*"

Architecture Patterns

Waveform Rendering

Zwei Rendering-Backends:

Backend	Base class	Drawing
allshader	`rendergraph::GeometryNode`	GPU geometry nodes, textures
legacy	`WaveformRendererAbstract`	`QPainter` on `QPaintEvent`

allshader renderers (src/waveform/renderers/allshader/):

Inherit from GeometryNode (not Node)
preprocess() runs each frame; enable with setUsePreprocess(true)
UniColorMaterial for solid colors, TextureMaterial for text/images

Legacy renderers (src/waveform/renderers/):

Override draw(QPainter*, QPaintEvent*)
QLineF vectors + painter->drawLines()

Beat System

src/track/beats.h — Immutable Beats class (via shared_ptr<const Beats>)
BeatMarker vector + last marker position/BPM
Beat-to-bar: globalBeatIndex = it - trackBeats->cfirstmarker()
Downbeat: ((globalBeatIndex % beatsPerBar) + beatsPerBar) % beatsPerBar == 0
Mutations return std::optional<BeatsPointer> (new immutable copy)

Per-track time signature:

Beats::beatsPerBar() — 0 = "nicht erkannt", Renderer fällt auf globale Einstellung zurück
Beats::downbeatOffset() — 0 = Standard-Anker
trySetBeatsPerBar(int) / trySetDownbeatOffset(int) — Mutation-Methoden
Bestehende Mutations preserven beide Felder

Renderer-Fallback-Pattern:

cpp
const int beatsPerBar = (m_pTrackBeats && m_pTrackBeats->beatsPerBar() > 0)
        ? m_pTrackBeats->beatsPerBar()
        : m_beatsPerBar;  // globale WaveformWidgetFactory-Einstellung

Protobuf Serialization

src/proto/beats.proto — BeatGrid and BeatMap messages
New fields must be optional for backward compatibility
BeatGrid: bpm, first_beat, beats_per_bar, downbeat_offset
BeatMap: beat (repeated), beats_per_bar, downbeat_offset
const_cast on freshly-created BeatsPointer is safe for setting fields after construction

Analyzer Pipeline

AnalyzerBeatsPlugin base → AnalyzerQueenMaryBeats (QM-DSP)
QM-DSP DownBeat class for time signature detection (multi-candidate bpb 3-7)
AnalyzerBeats::storeResults() → BeatFactory::makePreferredBeats() → Track

Track Properties Dialog

BPM tab: spinBeatsPerBar QSpinBox, range 0-32, 0="Auto"
Load: reloadTrackBeats(), Save: saveTrack() via trySetBeatsPerBar()
Disabled when BPM locked

Code Style Quick Reference

Element	Convention
Braces	Same-line (Google style)
Members	`m_camelCase`, pointers `m_pCamelCase`
Constants	`kPascalCase`
Strings	`QStringLiteral("...")`
Enums	`enum class` only
Memory	`std::make_unique` / `std::make_shared` / `make_parented`
Guards	`#pragma once`
Overrides	`override` always, no redundant `virtual`
Signals	Direct method pointer connects preferred over lambdas
Formatting	`clang-format`; only format touched code

Frequently asked questions

What does the Mixxx Cpp AI skill do?

Mixxx DJ software C++ development — architecture patterns, beat system, waveform rendering, protobuf serialization, analyzer pipeline, and Track Properties dialog

Why use Mixxx Cpp on TypingMind?

Because you install it once and use it with any model. Mixxx Cpp is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Mixxx Cpp in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/alpham8/agentic-webdev/tree/master/skills/mixxx-cpp. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Mixxx Cpp?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Mixxx Cpp?

As many as you like. As long as a model supports skills, you can use Mixxx Cpp with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Mixxx Cpp AI skill free?

It is published on GitHub by alpham8. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Mixxx C++ Development

Build & Test

Architecture Patterns

Waveform Rendering

Beat System

Protobuf Serialization

Analyzer Pipeline

Track Properties Dialog

Code Style Quick Reference

Frequently asked questions

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