apiel/zicbox/zicxyv2

Claude Code and agent skill by apiel/zicbox

Trust tier 2
  • community
LLM review pending
Source check pending

Checking that the SKILL.md file is still in the repository.

This skill describes the `zicXYv2` project for AI agents working on code implementation and UI/audio behavior. The goal is to provide enough context so generated code matches the target platform, hardware, interaction model, and performance constraints.

Install

npx vskill@latest install apiel/zicbox/zicxyv2

SKILL.md

zicXYv2 Skill

Purpose

This skill describes the zicXYv2 project for AI agents working on code implementation and UI/audio behavior. The goal is to provide enough context so generated code matches the target platform, hardware, interaction model, and performance constraints.

Target

  • zicXYv2 is a groovebox application running on Raspberry Pi Zero 2 W.
  • It is audio-first. UI rendering must never interfere with audio processing.
  • The implementation is in the zicXYv2 folder of the zicBox repository.

Hardware

  • Display: 320x240 pixels.
  • Buttons: 11 physical buttons.
  • First row: 5 buttons.
  • Second row: 8 buttons.
  • Encoders: 4 rotary encoders.
  • Audio output: DAC.
  • No mouse on actual hardware.
  • Desktop development can support mouse scroll and click, but code must not assume mouse is available on hardware.

UI design principles

  • Always prefer hardware interaction patterns: buttons, encoders, and small screen layout.
  • Avoid designs that require a mouse or large free-form pointing interaction.
  • Avoid unnecessary full-screen redraws.
  • Only redraw UI elements that changed.
  • Keep refresh and render work minimal so CPU time remains available for audio.
  • Use a simple UI flow and clear visible state for the selected view.

Audio priority

  • Audio must always remain responsive and have priority over UI updates.
  • UI rendering should be lightweight and non-blocking.
  • Prefer incremental updates and state diffing rather than repeated full-screen redraws.
  • Do not add expensive UI operations that could impact audio timing.

Desktop vs hardware behavior

  • Desktop mode may support SFML windowing, mouse movement, mouse button, and mouse wheel events.
  • Real hardware is not using SFML and does not include mouse input.
  • Code should support desktop aids only when running in a desktop environment and retain hardware-friendly control paths.

zicXYv2 structure notes

  • runtimeDesktopSFML.h integrates desktop event handling and uses drawUI(...).
  • ui.h composes UI views from: uiMasterFx.h, uiTopBar.h, uiTrack.h, uiSeq.h, uiClips.h, uiMenu.h.
  • studio.h defines the core app state, audio engine, tracks, and view enum values.
  • draw.h and related draw helpers are used to render to the screen buffer.

Agent guidance

  • When modifying UI code, prefer updating only the affected region instead of clearing and redrawing the entire display every frame.
  • When adding new interaction modes, map them to buttons/encoders first, then add desktop mouse support only as an optional convenience.
  • Keep code paths for hardware and desktop separate where necessary to avoid introducing mouse-only dependencies.
  • Document assumptions clearly in code comments, especially around input handling, redraw logic, and performance constraints.

Useful constraints

  • Screen size is fixed at 320x240.
  • There are 4 encoders and 11 physical buttons; design interactions around these controls.
  • The application already uses multiple views: track view, sequencer view, clips view, master/effects view, project view.
  • Make sure new features or UI screens fit within the existing navigation model.

Recommended behavior for this skill

  • Treat zicXYv2 as an embedded groovebox UI system with strict hardware controls.
  • When asked to implement code, prioritize correctness for buttons/encoders and low-cost rendering.
  • Use desktop event handling only to ease development and test flows, not as the main input model.
  • Ensure any new code can run on the Pi Zero 2 W without relying on desktop-only features.

Security

  • Security scanPassed, 100 of 100Pattern checks on the skill's files.
  • Model reviewNot runA model review is scheduled for the next rescan.

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

Popularity

Repository stars
289
Repository forks
15
7-day trend score
28

Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.

Works with

Any agent vskill installs to: 56 targets in all. These 39 have a page on this site.

  • Claude Code
  • Cursor
  • GitHub Copilot
  • Windsurf
  • Codex
  • Gemini CLI
  • Cline
  • Amp
  • Roo Code
  • Goose
  • Continue
  • Kilo Code
  • Junie
  • Trae
  • OpenHands
  • Qwen Code
  • AI Agent
  • Tabnine Chat
  • Sourcegraph Cody
  • Amazon Q
  • Firebase Genkit
  • Sweep
  • Devin
  • Phind
  • Mentat
  • Claude Desktop
  • Aider
  • GPT Pilot
  • Plandex
  • bolt.new
  • v0
  • Replit Agent
  • Anse
  • TypingMind
  • BetterChatGPT
  • LibreChat
  • Warp AI
  • Pieces
  • Fig AI
Embed badge
vskill VERIFIED badge
[![vskill VERIFIED](https://verified-skill.com/api/v1/skills/apiel/zicbox/zicxyv2/badge)](https://verified-skill.com/skills/apiel/zicbox/zicxyv2)

Something wrong with this skill or its page? Tell us.