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Agent Skill · 前端设计

audio-processing(音频处理)

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-processing 是前端设计类 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,按安装量在前端设计类的 10,216 个 Skill 里排第 3,078。

总安装 1,599周安装 68GitHub Stars 142下载 560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-processing(音频处理)
来源仓库:https://github.com/vivy-yi/xiaohongshu-skills
仓库路径:skills/audio-processing
安装命令:
npx skills add https://github.com/vivy-yi/xiaohongshu-skills --skill audio-processing
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/vivy-yi/xiaohongshu-skills --skill audio-processing

这个 Skill 是做什么的

前端设计类 Skill 关注页面结构、视觉规范和组件写法,输出通常是可运行的界面代码。

用于小红书平台音频内容的专业化处理,涵盖录制到优化的完整工作流程。重点解决音频质量对观众留存的影响,提供降噪、混音和平台适配优化。适用于提升视频内容专业度和观看体验的音频增强需求。安装方式:github,通过 npx skills add 命令从指定仓库添加。注意:需遵循小红书平台音频规格要求,确保兼容性与播放流畅。

来源仓库内路径:skills/audio-processing

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/vivy-yi/xiaohongshu-skills --skill audio-proce…;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-processing 怎么安装?

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

audio-processing 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-processing 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-processing 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-processing 用的人多吗?

公开数据是累计安装 1,599 次,近一周安装 68 次,下载 560 次,GitHub 142 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-processing 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。
  • 需要处理前端设计类任务、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。

前端设计类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
frontend-design

前端设计 · Codex、Claude

8,823,360126,072只读MIT通过
vercel-composition-patterns

Vercel 组合模式 · Codex、Claude

3,858,81625,893需要联网MIT通过
vercel-react-native-skills

Vercel React native skills 前端 · Codex、Claude

2,468,66425,878只读MIT通过
adapt

adapt 搜索 · Codex、Claude

2,027,04023,125操作浏览器未明确通过
bolder

bolder 分析 · Codex、Claude

2,004,28823,130只读未明确通过
audio-processing

音频处理 · 本页

1,599142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 Processing (音频处理)

Overview

Audio processing encompasses recording, editing, enhancing, and optimizing audio content for Xiaohongshu posts, ensuring professional sound quality that significantly enhances content professionalism, viewer retention, and overall production value. Poor audio is the #1 reason viewers abandon content within seconds - even with stunning visuals, bad audio makes content unwatchable. This skill covers the complete audio production workflow: from recording setup through editing, noise reduction, mixing, and final optimization for Xiaohongshu's platform specifications.

Key insight: Viewers will forgive mediocre video quality, but they will not tolerate poor audio. Investing in audio processing yields 50%+ improvements in viewer retention and 3-5x increases in engagement rates. Professional audio transforms amateur content into credible, trustworthy content.

When to Use

Use when:

  • Recording voiceovers for Xiaohongshu videos, tutorials, or storytelling content
  • Editing podcast-style audio content or interview recordings
  • Improving audio quality in existing recordings (noise reduction, volume leveling)
  • Creating background music tracks or adding sound effects to videos
  • Producing audio-first content formats (podcasts, audio diaries, voice notes)
  • Fixing common audio issues: background noise, echo, distortion, low volume
  • Optimizing audio for Xiaohongshu's platform specifications and compression
  • Creating consistent audio quality across content series
  • Adding professional polish with music beds, transitions, and sound design

Do NOT use when:

  • Using licensed music without proper permissions (copyright violation)
  • Content requires pure ambient sound (over-processing disrupts authenticity)
  • Audio is already professional quality (over-processing can degrade quality)
  • Quick, casual content where production speed matters more than polish
  • Live streaming (different audio setup requirements)

Core Pattern

Before (poor audio quality): ❌ "Background noise, room echo, distractions" ❌ "Inconsistent volume, too quiet then too loud" ❌ "Viewer adjusts volume constantly, gives up" ❌ "Content seems amateur, low credibility" ❌ "Viewers scroll away within 3 seconds"

After (professional audio): ✅ "Clean, clear voice recording" ✅ "Consistent volume levels throughout" ✅ "Pleasant listening experience, no adjustments needed" ✅ "Content feels professional, trustworthy" ✅ "Viewers watch complete content, high engagement"

6 Essential Audio Processing Elements:

ElementPurposeQuality ImpactPriority
Clean RecordingPrevent issues at sourceCritical#1 - cannot fix in post
Noise ReductionRemove background distractionsHigh#2 - most common issue
Volume NormalizationConsistent listening levelsHigh#3 - prevents frustration
EQ & ClarityEnhance voice intelligibilityMedium-High#4 - professional polish
Music & EffectsAdd emotional depthMedium#5 - enhance, don't distract
Platform OptimizationMeet technical specsMedium#6 - avoid compression artifacts

Quick Reference

Audio Processing Software Comparison:

ToolBest ForSkill LevelCostPlatformKey Features
AudacityBasic editing, noise reductionBeginnerFreeWin/Mac/LinuxNoise gate, normalize, EQ
Adobe AuditionProfessional productionIntermediate-AdvancedPaid (Subscription)Win/MacMultitrack, advanced repair, batch processing
GarageBandMac users, simple editingBeginnerFree (Mac)macOSBuilt-in effects, music loops, easy interface
DescriptText-based editing, podcastsBeginner-IntermediatePaid (Freemium)Web/Mac/WinEdit audio like text, overdub, filler removal
Logic ProMusic production, advanced editingAdvancedPaid (One-time)macOSProfessional DAW, massive library
ReaperPower users, customizationAdvancedPaid (Free trial)Win/Mac/LinuxLightweight, extensible, affordable

Xiaohongshu Audio Specifications:

  • Format: AAC, MP3, or M4A
  • Sample Rate: 44.1kHz or 48kHz
  • Bitrate: 128-320 kbps (192 kbps recommended for balance)
  • Channels: Stereo or Mono (Mono for voice-only is fine)
  • Loudness Target: -16 LUFS (YouTube/Broadcast standard)

Quick Audio Fixes (by symptom):

SymptomLikely CauseQuick Fix
Background hiss/humRoom noise, equipment hissNoise reduction filter
Room echo/reverbRecording in untreated roomMove closer to mic, use de-reverb plugin
Volume too lowRecording level too lowGain/normalize to -3dB peak
Distorted/clippingRecording level too highReduce gain, use clip restoration
Muffled soundPoor mic quality or wrong EQHigh-pass filter + EQ boost
Inconsistent levelsMultiple clips or variable distanceCompression + normalization

Implementation

Step 1: Recording Setup and Environment

Prevention is better than correction - capturing clean audio at source saves hours of editing and yields better results than any post-processing.

Microphone Selection:

Mic TypeBest ForProsConsPrice Range
USB MicBeginners, simplicityPlug-and-play, easyLimited quality, no upgrades¥200-800
Dynamic XLRVoice recording, noisy roomsRejects room noise, durableQuiet, need preamp¥500-2000
Condenser XLRStudio recording, vocalsDetailed, professionalSensitive to room noise¥800-5000
Lavalier (Lapel)Video, talking headHands-free, close to mouthVisible in shot, can rub on clothes¥100-500
ShotgunInterviews, outdoorDirectional, outdoor useExpensive, need operator¥1000-8000

Environment Setup:

  • Quietest room available: Close windows, turn off fans/AC, avoid high-traffic times
  • Reduce reflections: Hang blankets, use acoustic foam, record in closet full of clothes
  • Distance to mic: 6-12 inches (15-30cm) for optimal balance of proximity effect and room noise
  • Pop filter: Essential for plosive sounds (P, B sounds) - cheap foam or metal mesh
  • Shock mount: Isolates mic from desk vibrations and handling noise

Recording Levels:

  • Target: -12dB to -6dB average, peaks around -3dB
  • Too low: -24dB or below → brings up noise floor when boosted later
  • Too hot: Peaking at 0dB → distortion/clipping, cannot be fixed
  • Test record: Always do 10-second test, check levels before full recording

Recording Checklist:

  • Room is quiet (no traffic, appliances, people)
  • Mic positioned 6-12 inches from mouth
  • Pop filter attached
  • Recording level peaks around -6dB
  • Headphones monitoring live audio
  • Test recording sounds clear, no issues

Step 2: Basic Audio Editing

Importing and Organizing:

  • Multi-track setup: Keep voice on track 1, music on track 2, effects on track 3
  • Label tracks: "Voiceover", "Background Music", "Sound Effects" for clarity
  • Save project file: Always save editable project format (.aup3,.sesx, etc.) before exporting

Trimming and Arranging:

  • Remove mistakes: Cut out coughs, false starts, long pauses
  • Tighten pacing: Reduce pauses between sections to 0.5-1 second for better flow
  • Crossfade edits: Use 5-10ms crossfades on all cuts to avoid clicks/pops
  • Arrange content: Drag clips to reorder, build narrative flow

Basic Editing Techniques:

TechniqueHowWhy
Cut/Copy/PasteSelect region, edit menuRemove mistakes, reorder content
SplitCut at cursor pointSeparate sections for independent editing
TrimRemove selected regionQuickly cut ends or mistakes
Fade In/OutApply fade to clip start/endSmooth transitions, avoid abrupt starts/ends
CrossfadeOverlap clips with transitionSeamless joins between audio segments

Edit Best Practices:

  • Always backup original: Keep raw recording untouched, work on copy
  • Non-destructive editing: Use software that preserves original (Audacity, Adobe Audition)
  • Undo is your friend: Ctrl+Z / Cmd+Z liberally while learning
  • Save versions: Save project after major edits (v1, v2, v3) so you can backtrack

Step 3: Noise Reduction and Cleanup

Identify Noise Types:

NoiseCharacterRemoval MethodDifficulty
HissSteady high-frequency noiseNoise reduction pluginEasy
HumLow-frequency electrical buzz (50/60Hz)High-pass filter or notch filterEasy
Room reverbEchoey, cavernous soundDe-reverb plugin or reduce room noiseMedium
Clicks/popsSharp sudden soundsClick removal pluginMedium
Wind noiseLow-frequency rumbleHigh-pass filter + wind reductionMedium-Hard
Static/crackleContinuous cracklingNoise reduction + de-crackleHard

Noise Reduction Workflow (using Audacity as example):

Step 1: Capture Noise Profile

  1. Find a section of pure noise (no voice) - usually 0.5-2 seconds at start/end
  2. Select only the noise section
  3. Effect → Noise Reduction → Get Noise Profile
  4. Software analyzes the noise character

Step 2: Apply Noise Reduction

  1. Select entire audio track (Ctrl+A / Cmd+A)
  2. Effect → Noise Reduction
  3. Adjust settings:

- Noise reduction (dB): Start with 12dB, adjust to taste - Sensitivity: 3-6 (higher = more aggressive, may artifact) - Frequency smoothing: 3-6 bands

  1. Preview, adjust, then apply

Step 3: Fine-Tune

  • Too aggressive: Audio sounds underwater, robotic
  • Too light: Still hear noise
  • Artifact check: Listen for "watery" artifacts on "S" and "F" sounds
  • Apply multiple light passes better than one heavy pass

Alternative Noise Reduction Methods:

  • High-pass filter: Removes low-frequency rumble below 80-100Hz
  • Low-pass filter: Removes high-frequency hiss above 12-15kHz
  • Notch filter: Removes specific frequency (like 60Hz electrical hum)
  • Gate: Silences audio below threshold (good for background noise between words)

Step 4: Volume Normalization and Compression

Consistent volume is critical - viewers should never have to adjust their volume.

Leveling Techniques (in order of application):

1. Normalization (simple, fixes overall level):

  • Purpose: Bring entire track to target peak level
  • Settings: Normalize to -3dB peak (leaves headroom, prevents clipping)
  • When: First step after noise reduction
  • How: Select all, Effect → Normalize → Target peak level

2. Compression (evens out dynamics):

  • Purpose: Reduce difference between loudest and softest parts
  • Key settings:

- Ratio: 2:1 to 4:1 for voice (2:1 = subtle, 4:1 = more aggressive) - Threshold: -20dB to -12dB (lower = more compression) - Attack: 5-10ms (fast enough to catch peaks) - Release: 100-300ms (natural release)

  • Result: Whisper-quiet parts become audible, loud parts tamed

3. Limiting (prevents clipping):

  • Purpose: Hard ceiling at -0.1dB or -1dB, ensures no digital distortion
  • Settings: Threshold -1dB, ceiling -0.1dB
  • When: Final step before export
  • Result: No peaks exceed target, consistent loudness

Compression Quick Settings by Use Case:

Use CaseRatioThresholdAttackRelease
Spoken word (tutorial)2:1-18dB10ms200ms
Narration (documentary)3:1-15dB5ms150ms
Podcast (conversation)2.5:1-16dB8ms250ms
Emotional/intimate1.5:1-20dB15ms300ms
Energetic/promo4:1-12dB3ms100ms

Step 5: EQ and Audio Enhancement

Equalization (EQ) shapes tone - making voice sound clear, professional, and pleasant.

Voice EQ Basics:

FrequencyEffect on VoiceWhen to Adjust
Below 80HzLow rumble, room noiseCut completely for voice (high-pass filter)
80-200HzWarmth, bodyBoost slightly for thin voices, cut for muddy
200-500HzFullness, presenceLeave mostly flat
500Hz-2kHzIntelligibility, clarityBoost slightly (+1-3dB) if voice is dull
2kHz-6kHzDefinition, clarityBoost (+2-4dB) to make voice "pop"
6kHz-12kHzAir, brilliance, sibilanceCut S-heavy voices at 7kHz, boost for "air"
Above 12kHzUltra-highs, hissCut if hissy, leave if clear

Simple Voice EQ Recipe (works for 80% of recordings):

  1. High-pass filter: Remove everything below 80Hz
  2. Cut mud: -2dB at 250Hz if voice sounds boomy
  3. Boost clarity: +2dB at 3kHz for intelligibility
  4. Tame harshness: -3dB at 7kHz if S-sounds are harsh
  5. Add air: +2dB at 10kHz if voice needs openness

De-Essing (taming harsh S and T sounds):

  • Problem: Sibilance causes harsh, ear-piercing S sounds
  • Solution: De-esser plugin targets 5-8kHz frequencies only
  • Settings: Threshold -20dB, frequency 7kHz, range -6dB
  • Alternative: Manual EQ cut at 7kHz by -2 to -4dB

Step 6: Adding Music and Sound Effects

Music enhances emotion but should never compete with voice.

Music Selection Principles:

  • Match mood: Upbeat music for energetic content, calm for tutorials
  • Instrumental preferred: Lyrics distract from spoken content
  • Right tempo: 60-90 BPM for narration, 120+ for energetic
  • Legal sources: Royalty-free from YouTube Audio Library, Epidemic Sound, Artlist

Leveling Voice vs. Music:

Content TypeVoice LevelMusic LevelRatio
Tutorial/education-6dB to -3dB-20dB to -18dB12-15dB difference
Narration/story-6dB to -3dB-16dB to -14dB10-12dB difference
Emotional/intimate-8dB to -6dB-22dB to -20dB14-16dB difference
High-energy promo-3dB to 0dB-12dB to -10dB10-12dB difference

Music Mixing Workflow:

  1. Import music to separate track (never mix with voice on same track)
  2. Fade music in: 2-3 second fade at beginning
  3. Duck music: Lower music volume by 4-6dB when voice is present
  4. Auto-duck (if available): Software automatically lowers music during voice
  5. Fade music out: 2-3 second fade at end
  6. Check on phone: Test on mobile device (most viewers use mobile)

Sound Effects (SFX):

  • Transition sounds: Whooshes, clicks, swipes between sections
  • Emphasis: Ding, pop, or sparkle for key points
  • Ambience: Subtle room tone, nature sounds for atmosphere
  • Rule: Less is more - 1-3 sounds per minute max

Step 7: Export and Platform Optimization

Export Settings for Xiaohongshu:

SettingRecommendedWhy
FormatAAC (.m4a) or MP3Best compression quality
Sample Rate44.1kHz or 48kHzMatch source rate
Bitrate192 kbps (stereo) or 128 kbps (mono)Balance quality and file size
ChannelsStereo or MonoMono fine for voice-only
Loudness-16 LUFSStreaming platform standard

Export Quality Comparison:

BitrateFile Size (1 min)QualityUse Case
128 kbps~1 MBGoodVoice-only,节省流量
192 kbps~1.5 MBVery GoodRecommended for most content
256 kbps~2 MBExcellentMusic-heavy or audiophile content
320 kbps~2.5 MBBestOverkill for social media

Final Checklist Before Export:

  • Noise reduction applied, no hiss or hum
  • Volume normalized, consistent levels throughout
  • Voice EQ applied, clear and pleasant
  • Music balanced, doesn't compete with voice
  • No clipping or distortion
  • Fades at beginning and end
  • Test listen on headphones, speakers, and phone
  • Export at correct bitrate and format

Quality Control Testing:

  1. Headphones: Check for details, hiss, harshness
  2. Speakers: Check overall balance, bass response
  3. Phone speakers: Most viewers listen here - critical test
  4. Car test: Play in car (noisy environment) - intelligible?

Common Mistakes

MistakeWhy It's WrongFix
Recording in noisy roomNoise reduction can't fix everything, artifacts resultRecord in quietest space, treat room with blankets
Mic too far from mouthRoom echo increases, voice-to-noise ratio decreasesMove 6-12 inches from mic, use pop filter
Recording level too lowBoosting in post amplifies noise floorAim for -12dB to -6dB average
Recording level too hotDistortion/clipping is permanent and unfixableLeave headroom, peak around -6dB
Over-applying noise reductionAudio sounds robotic, underwater artifactsUse light passes (6-12dB), not heavy (20dB+)
No compression on voiceInconsistent volume, whisper-quiet then too-loudApply 2:1 to 4:1 compression
Music too loudDistracts from voice, makes content hard to followDuck music 12-15dB below voice
Too much high-frequency EQHarsh, ear-fatiguing, sibilance amplifiedCut 7kHz region, boost 3kHz instead
Exporting at wrong bitrateEither poor quality (too low) or huge files (too high)Use 192 kbps for optimal balance
Never testing on phoneSounds different on viewers' most common deviceAlways final QC on mobile device

Real-World Impact

Case Study 1: Tutorial Creator's Retention Transformation

Creator: Xiaohongshu tech tutorial creator Problem: 40% viewer drop-off within 30 seconds, despite valuable content Issue: Poor audio quality - room echo, inconsistent volume, background noise Solution Implemented:

  • Purchased USB microphone (¥300) and pop filter
  • Treated recording space with blankets on walls
  • Applied noise reduction, compression, and EQ in Audacity
  • Normalized all content to -16 LUFS

Results (60 days):

  • Average view duration: 45 seconds → 2:45 minutes (6x retention)
  • 30-second drop-off: 40% → 15% (62.5% improvement)
  • Engagement rate: 2% → 7% (3.5x increase)
  • Comment feedback: "Finally can hear clearly!" "Audio quality is pro"

Case Study 2: Podcaster's Audio Upgrade

Creator: Storytelling podcast on Xiaohongshu Problem: Listeners complained about "can't hear in car," "too quiet then too loud" Solution:

  • Implemented compression (3:1 ratio, -15dB threshold)
  • Added limiter to prevent peaks
  • Normalized to -16 LUFS loudness target
  • Applied high-pass filter below 80Hz
  • Subtle voice EQ boost at 3kHz

Results:

  • Listener complaints: 0 (down from multiple per episode)
  • Apple Podcasts rating: 4.2 → 4.8 stars
  • Average completion rate: 45% → 72% (listeners finish episodes)
  • Subscription growth: +200% (word-of-mouth from quality improvement)

Case Study 3: Brand's Audio Consistency

Brand: Beauty brand with multiple content creators Problem: Inconsistent audio quality across 20+ creators, damaged brand credibility Solution:

  • Created audio processing template (preset in Adobe Audition)
  • Standardized recording guidelines document
  • Provided creators with cheap USB mic + pop filter kit
  • Centralized post-processing: all audio edited by one person using template

Results (3 months):

  • Audio consistency: 100% across all content
  • Viewer retention: +35% (measured by average watch time)
  • Brand perception: "Professional, trustworthy" in user surveys
  • Reduced editing time: 4 hours per video → 45 minutes (template efficiency)

Related Skills

REQUIRED:

  • short-video-production: Complete video creation including audio integration
  • vlog-creation: Vlog-specific audio challenges and solutions
  • podcast-production: Long-form audio content creation techniques

RECOMMENDED:

  • music-licensing: Legal music sourcing and copyright compliance
  • content-equipment: Microphone and recording gear selection guides
  • post-production: Comprehensive video/audio post-production workflow
  • accessibility: Adding subtitles and transcripts for accessibility

NEXT STEPS:

  1. Audit your current audio: What are your top 3 audio quality issues?
  2. Upgrade recording setup: Start with mic + pop filter + quiet room
  3. Learn basic editing: Download Audacity (free) and practice on test recordings
  4. Create processing preset: Save your EQ, compression, and normalization settings
  5. Test on mobile: Always final quality check on phone before publishing

Professional audio is not about expensive gear - it's about clean recording and thoughtful processing. A ¥300 microphone with good technique beats a ¥5000 mic used poorly. Your viewers will forgive imperfect visuals, but they will abandon content with painful audio. Invest in audio processing first, visuals second.

平台分布

Claude

32.84%
按下载量换算184

Codex

32.68%
按下载量换算183

Cursor

18.11%
按下载量换算101

Gemini CLI

9.16%
按下载量换算51

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。

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