Agent skill

Levyra Player

by LUC4N3X in LUC4N3X/Levyra-deepsound

Implement, debug, or review Levyra playback, queue, Media3, MediaSession, notification, Android Auto, prefetch, audio mode, video mode, and player lifecycle changes.

GPL-3.0Auto-check passedMobile

Install Levyra Player

skills CLI
$ npx skills add LUC4N3X/Levyra-deepsound --skill levyra-player -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install LUC4N3X/Levyra-deepsound levyra-player --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/LUC4N3X/Levyra-deepsound.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/levyra-player .claude/skills/levyra-player && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
levyra-player
GitHub stars
590
Token cost
~1.2k tokens
SKILL.md length
559 words
Files
1
Skills in repo
22
Repo updated
First seen
Licence
GPL-3.0

At a glance

Implement, debug, or review Levyra playback, queue, Media3, MediaSession, notification, Android Auto, prefetch, audio mode, video mode, and player lifecycle changes.

  • Works in 4 steps: Read the root AGENTS.md and the nearest… → Read docs/ARCHITECTURE.md. → Read .agents/claude/rules/player.md and… → …
  • Mobile work in your project
  • SKILL.md covers Required context, Change contract, Guardrails and Playback memory invariant, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Levyra Player is an agent skill from LUC4N3X/Levyra-deepsound. Implement, debug, or review Levyra playback, queue, Media3, MediaSession, notification, Android Auto, prefetch, audio mode, video mode, and player lifecycle changes.

Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Mobile. It works with Android. The repository describes itself as: Open-source music player for Android and Windows with no accounts or tracking. Built for quick discovery, synced lyrics, radio, and rich artwork ♫. The licence is GPL-3.0.

When your agent uses it

  • Mobile work in your project

Example prompts

  • “/levyra-player”

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. Read the root AGENTS.md and the nearest applicable AGENTS.md.
  2. Read docs/ARCHITECTURE.md.
  3. Read .agents/claude/rules/player.md and .agents/claude/rules/architecture.md.
  4. Inspect the complete current path through user intent, ViewModel/controller, queue, resolver, player, service, MediaSession, notification…

What it can do on your machine

Read from SKILL.md and the folder at commit fd13888. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Levyra Player loads about 1.2k tokens when it runs. Until then it costs about 45 tokens; SKILL.md has 559 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~45
When it runs · the whole SKILL.md, loaded when a task matches
~1.2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from LUC4N3X/Levyra-deepsound at commit fd13888, republished under its GPL-3.0 licence (© LUC4N3X). 559 words, ~1,211 tokens.

Download SKILL.mdSave it as .claude/skills/levyra-player/SKILL.md (or your agent's skills folder).
name
levyra-player
description
Implement, debug, or review Levyra playback, queue, Media3, MediaSession, notification, Android Auto, prefetch, audio mode, video mode, and player lifecycle changes.

Levyra player workflow

Required context

  1. Read the root AGENTS.md and the nearest applicable AGENTS.md.
  2. Read docs/ARCHITECTURE.md.
  3. Read .agents/claude/rules/player.md and .agents/claude/rules/architecture.md.
  4. Inspect the complete current path through user intent, ViewModel/controller, queue, resolver, player, service, MediaSession, notification, and tests.

Change contract

Before editing, identify:

  • the exact playback defect or desired behavior;
  • ownership of every affected coroutine, callback, player, surface, decoder, and in-flight request;
  • behavior that must remain unchanged;
  • whether audio/song mode, native-video mode, queue state, background playback, notification, Android Auto, lifecycle, or memory behavior can be affected.

Guardrails

  • Preserve the user's explicit audio/song versus native-video choice.
  • Keep audible playback, MediaSession, notification, Android Auto, queue, and background service synchronized.
  • Keep artwork, lyrics, refresh, diagnostics, prefetch, and metadata enrichment off the direct playback critical path.
  • Reuse existing Media3 objects, scopes, dispatchers, queue state, and resolver infrastructure.
  • Re-throw CancellationException and protect late publication with identity plus generation checks.
  • Do not fix races with arbitrary delays, broad retries, duplicated state, or silent exception swallowing.
  • Static artwork must remain the immediate fallback; decorative media must remain muted and independent from audible playback.

Playback memory invariant

Issue #427 established that apparently small hot-path changes can create catastrophic native-memory growth even when Java heap behavior looks reasonable. Preserve the current stable-memory behavior as part of the playback contract.

  • Before adding work to a repeated playback/recommendation/DSP/prefetch callback, ask whether it allocates, compiles, decodes, copies, registers, retains, or grows state on every invocation.
  • Never compile Regex/Pattern or call .toRegex() inside repeated recommendation, metadata, playback-tick, frame, sample, or audio-buffer paths. Reuse immutable instances unless correctness requires otherwise and evidence proves the cost is bounded.
  • Avoid per-buffer/sample/frame object, array, ByteBuffer, string-formatting, parser, and collection allocation in DSP/audio hot paths. Reuse the existing buffers/processors where ownership allows.
  • Keep prefetch, resolver/recommendation bookkeeping, retry state, queue-side caches, and media-keyed maps bounded. Track cleanup across NEXT/PREV, replacement, cancellation, mode changes, service recreation, and end of queue.
  • Release obsolete player/controller/decoder/surface/listener/job resources at the owning lifecycle boundary. Do not let stale generations retain the old track graph after a transition.
  • Audio/song mode must not accidentally select or retain video tracks, video decoders, surfaces, or video-sized buffer pools. Native-video mode remains explicitly video-capable.
  • Do not use System.gc(), periodic player recycling, forced pause/resume, broad cache clearing, or service/process restart as a substitute for locating an allocation or retention source.
  • For a change that can materially affect playback/native/graphics memory, pair this skill with levyra-android-performance and validate the memory trend, not only a point-in-time heap value. Include native heap and process PSS/RSS when possible.
  • Stable acceptance means memory reaches a bounded plateau/oscillation after warm-up and normal track transitions rather than climbing monotonically with playback duration. Device-specific absolute MB values may differ.
Show full SKILL.md (117 more words)Show less

Validation

Add or update focused regression coverage for relevant cases such as rapid track changes, cancellation, same-identity replacement, queue mutation, mode switching, background/foreground transitions, notification actions, end-of-queue behavior, and bounded cache/lifecycle cleanup.

When a change materially touches playback allocation, buffering, DSP, recommendations, prefetch, decoding, or resource lifetime, prefer a sustained physical-device playback run after warm-up with several normal track transitions. Target 20–30 minutes when practical and inspect native heap plus PSS/RSS; report this as BLOCKED/unverified if it cannot be performed rather than claiming memory stability from unit tests alone.

Run focused tests first, then applicable checks from AGENTS.md. Report Android Auto, notification, PiP, emulator, physical-device, real playback, and memory-stability checks as unverified unless they were actually performed.

© LUC4N3X, GPL-3.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in .agents/skills/levyra-player of LUC4N3X/Levyra-deepsound.

Open the folder on GitHubat commit fd13888

Compare with similar skills

Levyra Player next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Levyra Player compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Levyra Player this skillLUC4N3X/Levyra-deepsound590—~1.2kAutomated safety check: PassGPL-3.0
Compose Multiplatform Patternsmonta-app/ocpp-emulator1805 repos~2kAutomated safety check: PassApache-2.0
Phone HarnessShawnPana/phone-harness3.2k—~4.3kAutomated safety check: PassMIT
Stylesarindamxd/camerax-android1324 repos~2.3kAutomated safety check: PassApache-2.0
Verified Emailarindamxd/camerax-android1324 repos~4.7kAutomated safety check: PassApache-2.0
Argent Metro Debuggerbbplayer-app/BBPlayer1.2k—~3.4kAutomated safety check: PassMIT

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Works with

Categories

Questions about Levyra Player

What does Levyra Player do?

Implement, debug, or review Levyra playback, queue, Media3, MediaSession, notification, Android Auto, prefetch, audio mode, video mode, and player lifecycle changes. Levyra Player is an agent skill from LUC4N3X/Levyra-deepsound. Implement, debug, or review Levyra playback, queue, Media3, MediaSession, notification, Android Auto, prefetch, audio mode, video mode, and player lifecycle changes.

When should I use Levyra Player?

Levyra Player fits situations like: mobile work in your project.

How do I install Levyra Player in Claude Code?

Run `npx skills add LUC4N3X/Levyra-deepsound --skill levyra-player -a claude-code`. Or copy the skill folder (.agents/skills/levyra-player in LUC4N3X/Levyra-deepsound) into .claude/skills/levyra-player in your project. Claude Code loads it when a task matches its description.

How do I install Levyra Player in Codex?

Run `npx skills add LUC4N3X/Levyra-deepsound --skill levyra-player -a codex`. Or copy the skill folder (.agents/skills/levyra-player in LUC4N3X/Levyra-deepsound) into .agents/skills/levyra-player in your project. Codex loads it when a task matches its description.

Can I use Levyra Player in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add LUC4N3X/Levyra-deepsound --skill levyra-player -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/levyra-player, .gemini/skills/levyra-player, .github/skills/levyra-player and .opencode/skills/levyra-player in your project.

What does Levyra Player need to run?

SKILL.md names no scripts, command-line tools or credentials: Levyra Player is instructions for the agent only.

Does Levyra Player access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Levyra Player safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Levyra Player use?

Levyra Player is published under the GPL-3.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Levyra Player use?

About 1.2k tokens (SKILL.md is roughly 4.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Levyra Player?

Skills that share tags, products or a category with Levyra Player: Compose Multiplatform Patterns (monta-app/ocpp-emulator, 180 stars), Phone Harness (ShawnPana/phone-harness, 3.2k stars), Styles (arindamxd/camerax-android, 132 stars) and Verified Email (arindamxd/camerax-android, 132 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Levyra Player?

LUC4N3X (a GitHub user) maintains it in LUC4N3X/Levyra-deepsound, which has 590 GitHub stars. The repository holds 22 skills in this directory. The repository was last updated on October 10, 2026.

Source: LUC4N3X/Levyra-deepsound on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.