Token导航 LogoToken导航

Agent Skill · 研究检索

audio-editing(音频编辑)

用于辅助音频、音乐、语音转写、语音合成或声音素材处理。它适合让 Agent 生成配乐说明、整理音频流程、调用语音工具或处理播客和视频配音素材。使用时需要确认输入音频来源、输出格式、时长和模型限制;涉及人声克隆、版权音乐或公开发布时,应先核对授权和合规边界。

audio-editing 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为只读;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 29,038。

总安装 3,120周安装 130GitHub Stars 85下载 1,040核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

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:audio-editing(音频编辑)
来源仓库:https://github.com/guia-matthieu/clawfu-skills
仓库路径:skills/audio-editing
安装命令:
npx skills add https://github.com/guia-matthieu/clawfu-skills --skill audio-editing
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 npx skills 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。

skills.shnpx skills
npx skills add https://github.com/guia-matthieu/clawfu-skills --skill audio-editing

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

audio-editing 教授专业音频后期处理技术,包括标准化、压缩与降噪流程。适用于播客制作、视频配音与营销内容的声音质量提升。遵循正确处理顺序:先降噪,再均衡,最后动态压缩与归一化。使用时应区分原始录音类型(人声、环境音、背景音乐),选择对应工具链。输出为可用于发布的标准化音频文件,确保跨平台播放一致性。

来源仓库内路径:skills/audio-editing

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/guia-matthieu/clawfu-skills --skill audio-edit…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

audio-editing 怎么安装?

在终端执行 npx skills add https://github.com/guia-matthieu/clawfu-skills --skill audio-editing。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

audio-editing 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

audio-editing 需要什么权限?

权限级别是只读。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。

audio-editing 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

audio-editing 用的人多吗?

公开数据是累计安装 3,120 次,近一周安装 130 次,下载 1,040 次,GitHub 85 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

audio-editing 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。
  • 标注为只读权限,试用阶段不容易误改本地文件。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 只想先试试效果、不希望它改动本地文件的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
audio-editing

音频编辑 · 本页

3,12085只读未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Audio Editing Fundamentals

Master the essential audio post-production techniques—normalization, compression, EQ, and noise reduction—using the correct processing order to achieve professional-quality audio.

When to Use This Skill

  • Editing podcast episodes or video soundtracks
  • Cleaning up recorded voiceovers
  • Improving audio quality for marketing content
  • Preparing audio files for distribution
  • Troubleshooting common audio issues
  • Standardizing audio levels across a project

Methodology Foundation

Source: iZotope + Industry Best Practices

Core Principle: Audio processing must happen in the correct order—each step builds on the previous. "Noise reduction before compression prevents amplifying noise. Compression before EQ prevents undoing your level work." The goal is to serve the content, not showcase the processing.

Why This Matters: Poor audio editing is the most common reason otherwise good content sounds amateur. Understanding these fundamentals enables marketers to polish recordings themselves or effectively communicate with audio engineers.

What Claude Does vs What You Decide

Claude DoesYou Decide
Structures production workflowFinal creative direction
Suggests technical approachesEquipment and tool choices
Creates templates and checklistsQuality standards
Identifies best practicesBrand/voice decisions
Generates script outlinesFinal script approval

What This Skill Does

  1. Applies correct processing order - Gain → Noise → Compression → EQ → Limiting
  2. Sets appropriate levels - Normalization, loudness standards (LUFS), peak management
  3. Reduces noise intelligently - Without introducing artifacts
  4. Balances dynamics - Compression settings for voice and music
  5. Shapes tone - EQ adjustments for clarity and warmth

How to Use

Fix Audio Problems

My audio has [describe problem: too quiet, noisy background, inconsistent levels, muddy sound].
Help me fix it using proper processing order.

Prepare Audio for Platform

Help me prepare this audio for [podcast/YouTube/Spotify/broadcast].
Current state: [describe audio]

Master Audio Workflow

Create an audio editing workflow for [content type].
Include settings for [software: Audacity/Audition/etc.]

Instructions

When editing audio, follow this methodology:

Step 1: The Processing Order

Always process in this sequence to avoid compounding problems.

## Correct Processing Order

1. GAIN STAGING
   ↓
2. NOISE REDUCTION
   ↓
3. COMPRESSION
   ↓
4. EQUALIZATION
   ↓
5. FINAL NORMALIZATION / LIMITING

Why this order:
- Noise reduction BEFORE compression: Prevents amplifying noise
- Compression BEFORE EQ: Prevents EQ changes affecting dynamics
- Limiting LAST: Sets final ceiling after all processing

Step 2: Gain Staging

Set initial levels before any processing.

## Gain Staging Guidelines

**Recording (target during capture)**:
- Peaks at -12 to -6 dB
- Leaves headroom for processing

**Initial Normalization (start of editing)**:
- Normalize peaks to -6 dB
- Creates consistent starting point

**Two Types of Normalization**:

1. **Peak Normalization**
   - Adjusts based on loudest point
   - Use for: Initial gain staging
   - Does NOT change dynamic range

2. **RMS/Loudness Normalization**
   - Adjusts based on average level
   - Use for: Final delivery
   - Better for perceived loudness matching

Tool-Specific:

SoftwareNormalize Function
AudacityEffect → Normalize
AuditionEffects → Amplitude → Normalize
Logic ProRegion → Normalize

Step 3: Noise Reduction

Remove unwanted background sound without artifacts.

## Noise Reduction Approach

**When to use**:
- Consistent background hiss/hum
- Air conditioning, computer fan noise
- Not for variable noise (traffic, voices)

**Method 1: Spectral Noise Reduction**
1. Find 2-3 seconds of "silence" (noise only)
2. Use as noise profile
3. Apply reduction to full track
4. Use conservative settings

**Settings Guide** (Audacity example):
- Noise Reduction: 6-12 dB (start low)
- Sensitivity: 4-6 (higher = more aggressive)
- Frequency Smoothing: 3-6 bands

**Method 2: Noise Gate**
- Sets threshold; audio below is silenced
- Better for breaths between speech
- Doesn't affect audio during speech

**Warning Signs of Over-Processing**:
- "Underwater" or "robotic" sound
- Swirling artifacts
- Unnatural silence between words

**Rule**: If choosing between slight noise or artifacts, keep the noise.

Step 4: Compression

Even out dynamics—reduce loud parts, bring up quiet parts.

## Compression for Voice

**What It Does**:
- Reduces volume of sounds above threshold
- Results in more consistent, fuller sound

**Key Parameters**:

| Parameter | What It Does | Voice Setting |
|-----------|--------------|---------------|
| Threshold | Level where compression starts | -20 to -12 dB |
| Ratio | How much to reduce | 2:1 to 4:1 |
| Attack | How fast compression kicks in | 10-30 ms |
| Release | How fast compression stops | 100-300 ms |
| Makeup Gain | Boosts output after compression | To taste |

**Voice Compression Starting Point**:
- Threshold: -18 dB
- Ratio: 3:1
- Attack: 15 ms (fast enough for transients)
- Release: 150 ms
- Gain: +3-6 dB (compensate for reduction)

**Multi-Band Compression** (advanced):
- Different settings for different frequency ranges
- Useful for controlling low-end rumble without affecting highs
- Overkill for most marketing audio

**When NOT to Compress**:
- Already consistent audio (well-recorded)
- Music meant to be dynamic
- Over-compression sounds "squashed"

Step 5: Equalization (EQ)

Shape the tone—cut problems, enhance clarity.

## EQ for Voice

**Philosophy**: Cut more than boost. Removing problems is safer than adding "goodness."

**Voice Frequency Guide**:

| Range | Frequency | Effect |
|-------|-----------|--------|
| Rumble | Below 80 Hz | Cut (high-pass filter) |
| Muddiness | 200-400 Hz | Cut if boomy |
| Body/Warmth | 150-250 Hz | Boost slightly for thin voice |
| Boxy/Nasal | 400-800 Hz | Cut if honky |
| Clarity/Presence | 2-4 kHz | Boost for intelligibility |
| Sibilance | 5-8 kHz | Cut if harsh "s" sounds |
| Air/Brightness | 8-12 kHz | Boost for expensive studio feel |

**Standard Voice EQ Recipe**:
1. High-pass filter at 80 Hz (removes rumble)
2. Cut 2-3 dB around 300 Hz (reduces muddiness)
3. Boost 2-3 dB around 3 kHz (adds clarity)
4. High-shelf boost at 10 kHz if needed (adds air)

**De-essing**:
- Tames harsh "s" and "sh" sounds
- Target: 5-8 kHz range
- Use de-esser plugin OR narrow EQ cut

Step 6: Final Normalization / Limiting

Set output level for delivery platform.

## Loudness Standards by Platform

| Platform | Target | Measurement |
|----------|--------|-------------|
| Podcast (general) | -16 LUFS | Integrated loudness |
| Spotify/Apple Podcasts | -14 LUFS | May normalize further |
| YouTube | -14 LUFS | Recommended |
| Broadcast TV (US) | -24 LKFS | FCC regulation |
| ACX/Audiobooks | -23 to -18 dB RMS | Per chapter |

**Final Steps**:

1. **Loudness Normalization**
   - Match to platform standard (e.g., -16 LUFS)
   - Use loudness meter, not peak meter

2. **Limiting**
   - Prevents clipping
   - Set ceiling at -1 dB (leaves headroom for encoding)
   - Catches peaks that exceed ceiling

3. **Export Settings**
   - Podcast: 128-192 kbps MP3, stereo
   - Video: Match video project settings
   - Audiobook: 192 kbps MP3, 44.1 kHz, mono

Examples

Example 1: Fixing a Noisy Podcast Recording

Context: Recorded a remote podcast interview with audible background hum.

Input:

My podcast guest recorded on their laptop mic. There's a consistent low hum and the levels are all over the place—sometimes quiet, sometimes too loud. How do I fix this?

Output:

Podcast Rescue Workflow

Assessment

  • Problem 1: Low hum (likely electrical, 50/60 Hz)
  • Problem 2: Inconsistent levels (no compression during recording)
  • Problem 3: Probably laptop mic = thin, harsh sound

Step-by-Step Fix

1. Gain Staging

  • Normalize peaks to -6 dB
  • This gives you headroom for processing

2. Remove the Hum

*If it's electrical hum (consistent pitch)*:

  • Use a notch filter at 60 Hz (US) or 50 Hz (Europe)
  • Also notch harmonics: 120 Hz, 180 Hz, 240 Hz
  • Settings: Very narrow Q (high), deep cut (-12 to -20 dB)

*If it's broadband noise (hiss)*:

  • Find 2 seconds of just the hum (between speech)
  • Use as noise profile
  • Apply noise reduction: 8-10 dB, sensitivity 5
  • Listen for artifacts; reduce if robotic

3. Even Out Levels

Compression settings:

  • Threshold: -18 dB
  • Ratio: 4:1 (higher than normal because it's bad)
  • Attack: 20 ms
  • Release: 200 ms
  • Makeup gain: +5 dB

4. Fix the Thin Sound

EQ adjustments:

  • High-pass at 100 Hz (laptop mics have no good bass anyway)
  • Boost 2 dB at 200 Hz (add body)
  • Cut 3 dB at 500 Hz (reduce boxiness)
  • Boost 2 dB at 3 kHz (clarity)
  • Cut 2 dB at 6 kHz if harsh

5. Final Output

  • Loudness normalize to -16 LUFS
  • Limit peaks to -1 dB
  • Export: 192 kbps MP3

Before/After Check

  • A/B compare with bypass
  • Check it doesn't sound "processed"
  • The best edit is invisible

Example 2: Audio Settings by Content Type

Context: Setting up templates for different audio content.

Input:

I produce three types of content: YouTube videos, podcast episodes, and Loom videos for sales. Can you give me processing templates for each?

Output:

Audio Processing Templates

Template 1: YouTube Videos

Goal: Clear voice over background music, sounds good on phone speakers and headphones

Processing Chain:

  1. Noise Gate: Threshold -40 dB, removes room noise between speech
  2. High-pass Filter: 100 Hz, removes rumble
  3. Compression: Threshold -16 dB, Ratio 3:1
  4. EQ:

- Cut 3 dB at 350 Hz - Boost 3 dB at 3.5 kHz - High shelf +2 dB at 8 kHz

  1. De-esser: Target 6 kHz, medium threshold
  2. Limiter: Ceiling -1 dB

Export: -14 LUFS, stereo, match video codec

Voice/Music Balance: Voice at -12 dB, music at -20 to -24 dB (8-12 dB lower than voice)


Template 2: Podcast Episodes

Goal: Intimate, consistent sound for headphone listening over long duration

Processing Chain:

  1. Normalize: Peaks to -6 dB
  2. Noise Reduction: Light (6 dB max)
  3. Compression: Threshold -18 dB, Ratio 2.5:1, slower release (250 ms)
  4. EQ:

- High-pass at 80 Hz - Slight warmth boost at 200 Hz - Presence boost at 2.5 kHz

  1. Limiter: Ceiling -1 dB

Export: -16 LUFS, 128-192 kbps MP3, stereo or mono

Multi-Speaker: Process each track separately, then balance (should be equal loudness when together)


Template 3: Loom/Sales Videos

Goal: Professional but natural, focus on intelligibility, optimize for laptop speakers

Processing Chain:

  1. High-pass Filter: 120 Hz (aggressive, laptop speakers can't reproduce below anyway)
  2. Compression: Threshold -14 dB, Ratio 3.5:1 (consistent level for presentation)
  3. EQ:

- Cut 4 dB at 300-400 Hz (reduce muddy laptop sound) - Boost 3 dB at 2-4 kHz (cuts through small speakers)

  1. Limiter: Ceiling -3 dB (accounts for Loom compression)

Export: -14 LUFS, optimize for file size (lower bitrate acceptable)

Pro tip: Test playback on laptop speakers, not studio monitors—that's how buyers will hear it

Checklists & Templates

Audio Editing Checklist

## Pre-Processing
□ Imported audio to project
□ Listened through once for problems
□ Noted specific issues (noise, pops, volume spikes)
□ Backed up original file

## Processing (in order)
□ 1. Gain staging: peaks at -6 dB
□ 2. Noise reduction applied (if needed)
□    - Used clean noise sample
□    - Checked for artifacts
□ 3. Compression applied
□    - Threshold set appropriately
□    - Gain reduction 3-6 dB typical
□ 4. EQ applied
□    - High-pass engaged
□    - Problem frequencies cut
□ 5. Final limiting
□    - Ceiling at -1 dB (or per platform)

## Quality Check
□ A/B comparison with bypass
□ Listened on headphones
□ Listened on different speakers
□ No artifacts or processing sounds
□ Loudness matches target spec

Platform Cheat Sheet

## Quick Reference: Delivery Specs

PODCASTS
- Loudness: -16 LUFS
- Format: 128-192 kbps MP3
- Channels: Mono or Stereo

YOUTUBE
- Loudness: -14 LUFS
- Format: Match video settings
- Note: Will be normalized by platform

AUDIOBOOKS (ACX)
- RMS: -23 to -18 dB
- Peak: -3 dB max
- Noise floor: -60 dB
- Format: 192 kbps MP3, 44.1 kHz, mono

BROADCAST (US)
- Loudness: -24 LKFS
- True peak: -2 dB
- Note: FCC regulated

MUSIC STREAMING
- Loudness: -14 LUFS (Spotify reference)
- Platforms normalize, but masters are louder

Skill Boundaries

What This Skill Does Well

  • Structuring audio production workflows
  • Providing technical guidance
  • Creating quality checklists
  • Suggesting creative approaches

What This Skill Cannot Do

  • Replace audio engineering expertise
  • Make subjective creative decisions
  • Access or edit audio files directly
  • Guarantee commercial success

References

  • iZotope. "Tips to Record Professional Quality Voice Over at Home"
  • Riverside. "Complete Post Production Guide"
  • Lower Street. "How to Edit a Podcast"
  • MixingMonster. "Audio Post Production Guide"

Related Skills


Skill Metadata (Internal Use)

name: audio-editing
category: audio
subcategory: editing
version: 1.0
author: MKTG Skills
source_expert: iZotope, Industry Best Practices
source_work: Audio Engineering Standards
difficulty: beginner
estimated_value: $50-200 per hour (equivalent engineering time)
tags: [audio, editing, eq, compression, normalization, post-production]
created: 2026-01-26
updated: 2026-01-26

平台分布

Codex

36.83%
按下载量换算383

Claude

30.1%
按下载量换算313

Cursor

19.88%
按下载量换算207

Gemini CLI

10.54%
按下载量换算110

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

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

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

继续浏览同类 Skills