godot-fun

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audio-loudness-normalization

Normalizes a single audio file to consistent LUFS loudness with true-peak limiting using FFmpeg. Use when the user wants loudness normalization, volume matching, unified audio levels, SFX/UI/BGM leveling, or mentions LUFS, true peak, loudnorm, or inconsistent game audio.

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Harga belum dikonfirmasi★ 154 Star GitHubDirektori diperbarui · 14 Sep 2026agent-skill

Ringkasan

Normalizes a single audio file to consistent LUFS loudness with true-peak limiting using FFmpeg. Use when the user wants loudness normalization, volume matching, unified audio levels, SFX/UI/BGM leveling, or mentions LUFS, true peak, loudnorm, or inconsistent game audio.

Baca dokumentasi lengkap

Dokumentasi sumber, bukan instruksi untuk situs ini. Periksa izin sebelum menjalankan perintah.

Audio Loudness Normalization

Loudness-normalize one audio file to a target LUFS with true-peak limiting. Preserves input format — same extension and sample rate as the source. Directories are not supported; run once per file to process a folder.

Rules

When this skill applies, read and follow skill-dependency-manager — run scripts as documented, install missing tools into .dependency/.

Quick Start

Default: -14 LUFS, -1.5 dBTP, output to <audio-dir>/audio-loudness-normalization/<audio-name>:

.dependency/python/python .ai/audio-loudness-normalization/normalize.py --audio path/to/audio.wav

Example: audio/sfx/tank/tank_move.wav → audio/sfx/tank/audio-loudness-normalization/tank_move.wav

LUFS Targets

CategoryLUFS
UI / clicks-18 to -14
Gameplay SFX-16 to -12
Explosions-12 to -8
Ambience-22 to -18
BGM / voice-16 to -14

One category per folder. Mixed folders: split first, then normalize each file with matching -t.

Common Flags

--audio · -t / --target-lufs · -output

.dependency/python/python .ai/audio-loudness-normalization/normalize.py --audio Audio/SFX/click.wav -t -14

Never overwrite source files. The script writes only to audio-loudness-normalization/ (or -output). Supported inputs: .wav, .mp3, .ogg, .flac, .aac, .m4a, .wma.

Agent Notes

  1. Use the bundled script (two-pass loudnorm), not hand-written FFmpeg.
  2. Preserves input format — same extension and sample rate (-ar forced to source); does not resample.
  3. Missing Python/FFmpeg → populate .dependency/ per skill-dependency-manager, retry same command.
  4. Do not copy, move, or replace the source with the normalized output — tell the user where audio-loudness-normalization/ files are; they swap assets manually when ready.
  5. Do not use -output pointing at the source file; the script refuses paths that would overwrite the input.
  6. Do not fix uneven levels with per-asset volume in game code — re-normalize sources.
  7. Engine bus defaults and rationale: reference.md

Tests

From repo root:

.dependency/python/python .ai/audio-loudness-normalization/test_normalize.py

Manual CLI examples: cli/audio-loudness-normalization.md

Metadata berkas
name: audio-loudness-normalization
description: Normalizes a single audio file to consistent LUFS loudness with true-peak limiting using FFmpeg. Use when the user wants loudness normalization, volume matching, unified audio levels, SFX/UI/BGM leveling, or mentions LUFS, true peak, loudnorm, or inconsistent game audio.
Lihat teks asli
---
name: audio-loudness-normalization
description: Normalizes a single audio file to consistent LUFS loudness with true-peak limiting using FFmpeg. Use when the user wants loudness normalization, volume matching, unified audio levels, SFX/UI/BGM leveling, or mentions LUFS, true peak, loudnorm, or inconsistent game audio.
---

# Audio Loudness Normalization

Loudness-normalize one audio file to a target LUFS with true-peak limiting. **Preserves input format** — same extension and sample rate as the source. Directories are not supported; run once per file to process a folder.

## Rules

When this skill applies, read and follow [skill-dependency-manager](../skill-dependency-manager.md) — run scripts as documented, install missing tools into `.dependency/`.

## Quick Start

Default: **-14 LUFS**, **-1.5 dBTP**, output to `<audio-dir>/audio-loudness-normalization/<audio-name>`:

```bash
.dependency/python/python .ai/audio-loudness-normalization/normalize.py --audio path/to/audio.wav
```

Example: `audio/sfx/tank/tank_move.wav` → `audio/sfx/tank/audio-loudness-normalization/tank_move.wav`

## LUFS Targets

| Category | LUFS |
|----------|------|
| UI / clicks | -18 to -14 |
| Gameplay SFX | -16 to -12 |
| Explosions | -12 to -8 |
| Ambience | -22 to -18 |
| BGM / voice | -16 to -14 |

One category per folder. Mixed folders: split first, then normalize each file with matching `-t`.

## Common Flags

`--audio` · `-t` / `--target-lufs` · `-output`

```bash
.dependency/python/python .ai/audio-loudness-normalization/normalize.py --audio Audio/SFX/click.wav -t -14
```

**Never overwrite source files.** The script writes only to `audio-loudness-normalization/` (or `-output`). Supported inputs: `.wav`, `.mp3`, `.ogg`, `.flac`, `.aac`, `.m4a`, `.wma`.

## Agent Notes

1. Use the bundled script (two-pass `loudnorm`), not hand-written FFmpeg.
2. **Preserves input format** — same extension and sample rate (`-ar` forced to source); does not resample.
3. Missing Python/FFmpeg → populate `.dependency/` per skill-dependency-manager, retry same command.
4. **Do not copy, move, or replace the source with the normalized output** — tell the user where `audio-loudness-normalization/` files are; they swap assets manually when ready.
5. Do not use `-output` pointing at the source file; the script refuses paths that would overwrite the input.
6. Do not fix uneven levels with per-asset volume in game code — re-normalize sources.
7. Engine bus defaults and rationale: [reference.md](reference.md)

## Tests

From repo root:

```bash
.dependency/python/python .ai/audio-loudness-normalization/test_normalize.py
```

Manual CLI examples: [cli/audio-loudness-normalization.md](../../../cli/audio-loudness-normalization.md)

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Lisensi
MIT
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Harga belum dikonfirmasi. Tautan sumber dan instalasi yang ada tetap tersedia.

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Sumber skill tercatat

Jalur instruksi telah dicatat. Ini bukan uji eksekusi, jaminan keamanan, atau sertifikasi kompatibilitas.

Tinjau sebelum memasang: Hindari pemasangan otomatis

Lisensi: MIT

  • Potential broker, wallet, exchange, or real-money execution surface; sandbox and explicit approval are required
  • Persetujuan tinjauan AI belum ada
  • This skill may touch real-money trading, broker, wallet, or exchange operations; use only in a sandbox with explicit approval.
  • Quality score needs review
  • Stars/forks activity: 154 stars, 14 forks; issue activity unavailable in current metadata
  • Review status: AI review approval is missing
Buka audit lengkap

Daftar alat adalah petunjuk metadata, bukan kompatibilitas teruji. Prompt adalah saran.

Mulai dengan tugas kecil

  1. 1Baca sumber dan pastikan masukan, keluaran, dependensi, serta izin.
  2. 2Minta rencana dari agent. Setujui pengaturan dan biaya sebelum uji terisolasi.
  3. 3Periksa hasil dan berkas yang berubah. Laporkan hanya yang dijalankan dan simpan revisi sumber.

Periksa dependensi, kunci API, dan biaya layanan pihak ketiga pada sumber. Repositori publik tidak berarti semua layanan gratis.

Sumber dan catatan penggunaan

TerindeksDiperiksa statis

Metadata dan tinjauan bersifat saran. Popularitas, penemuan sumber, dan keberhasilan eksekusi adalah fakta berbeda.

Repositori sumber
godot-fun/godot-agent
Lisensi
MIT
Versi
Unknown
Push GitHub terakhir
13 Sep 2026
Direktori diperbarui
14 Sep 2026

Versi dilaporkan dalam metadata direktori; periksa rilis sumber.

Kualitas

63/100

Menjanjikan

Kepercayaan

68/100

Hanya sandbox

Audit

78/100

Berisiko

  • Potential broker, wallet, exchange, or real-money execution surface; sandbox and explicit approval are required
  • Persetujuan tinjauan AI belum ada
  • This skill may touch real-money trading, broker, wallet, or exchange operations; use only in a sandbox with explicit approval.
  • Quality score needs review
  • Stars/forks activity: 154 stars, 14 forks; issue activity unavailable in current metadata
  • Review status: AI review approval is missing
Verified installs
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Hasil
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Akses agent

API Registry menyediakan sinyal keputusan, kepercayaan, audit, use case, dan pemasangan tanpa mengikis UI.

Detail lainnya
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}

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Diindeks oleh
Indeks komunitas OpenAgentSkill

Atribusi menautkan ke repositori publik atau profil kreator. Kreator dapat mengklaim listing untuk memperbarui sinyal kepemilikan.

Klaim skill ini

Klaim pemilik

Klaim listing skill ini

Listing Diindeks Registry ini dikaitkan dengan godot-fun, tetapi belum ditandai resmi. Klaim untuk menambahkan sinyal pemilik terverifikasi dan membuat pembaruan peluncuran, pemasangan, serta audit berikutnya lebih tepercaya.

Kit berbagi

Kit backlink kreator

Tambahkan badge bukti ke README Anda

Tampilkan listing kanonis, sinyal kepercayaan dan audit saat ini, serta bukti Agent-Proven nyata di tempat pengembang mengevaluasi repositori.

[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/godot-fun-audio-loudness-normalization?metric=listed&label=Listed)](https://www.openagentskill.com/skills/godot-fun-audio-loudness-normalization?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/godot-fun-audio-loudness-normalization?metric=trust&label=Trust)](https://www.openagentskill.com/skills/godot-fun-audio-loudness-normalization?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/godot-fun-audio-loudness-normalization?metric=audit&label=Audit)](https://www.openagentskill.com/skills/godot-fun-audio-loudness-normalization/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/godot-fun-audio-loudness-normalization?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/godot-fun-audio-loudness-normalization?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)

Sinyal komunitas

Bagikan apakah skill ini bermanfaat untuk alur kerja Agent Anda. Masukan gabungan meningkatkan peringkat dari waktu ke waktu.