본문으로 건너뛰기
cccskills
무료GitHub에 공개

audio-pro

Handle professional audio tasks with recording, editing, mixing basics, formats, and loudness standards.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

설치 방법 보기

포함된 파일(1)

  • SKILL.md4.5 KB

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

Overview

Audio is half the experience and the first thing audiences notice when it's wrong — viewers forgive shaky video but not bad sound. This skill covers practical audio: recording clean source audio, editing dialogue, mixing basics (levels, EQ, compression), format choices, and loudness standards for different platforms.

When to use

  • Recording voiceovers, podcasts, or interviews

  • Cleaning up noisy or uneven audio

  • Editing and mixing audio for video

  • Choosing audio formats and export settings

  • Meeting loudness standards for platforms or broadcast

Core concepts

      • Source quality is everything. No plugin fixes a bad recording. Get the mic close (6-12 inches for voice), record in a quiet treated space, monitor with headphones, and record 10 seconds of room tone for noise profiling.
      • The signal chain. Record clean → edit (cut mistakes, tighten pauses) → repair (noise reduction, de-ess, de-click) → mix (levels, EQ, compression) → master (loudness, limiting). In that order — mixing before editing wastes effort.
      • Levels and headroom. Record peaks around -12 to -6 dBFS (never hitting 0). Mix dialogue to sit consistently; final masters peak at -1 to -2 dBTP (true peak) to survive lossy encoding.
      • EQ: subtractive first. Cut problem frequencies (rumble below 80Hz on voice, harshness 2-5kHz) before boosting anything. High-pass filter almost everything that isn't bass — muddiness lives in the low end.
      • Compression gently. Voice: 2-4 dB of gain reduction evens out dynamics transparently. Over-compression sounds lifeless and pumps. Learn to hear the threshold — if you can hear it working, it's too much.
      • Loudness standards. Podcasts: -16 LUFS stereo (-19 mono). YouTube: -14 LUFS. Broadcast: -24 LUFS (US) / -23 (EU). Spotify: -14 LUFS. Master to the target — platforms turn down (not up) non-compliant audio.

Practical workflow

      1. Plan the recording. Script or outline, quiet location (soft furnishings kill reflections), mic choice and placement, test recording with playback check. Record room tone.
      1. Record properly. 48kHz/24-bit for video work (44.1kHz/16-bit minimum for audio-only), healthy levels with headroom, monitor on closed-back headphones, clap or slate for sync if multi-device.
      1. Edit the performance. Remove mistakes and long pauses, tighten breaths (don't remove all — breathing sounds human), smooth edits with tiny crossfades. Edit for pacing: podcast listeners forgive ums less than you think.
      1. Repair. Noise reduction using the room-tone profile (gentle — overuse creates underwater artifacts), de-ess harsh sibilance, de-click mouth noises, remove hums with notch filters.
      1. Mix. Set dialogue level first (everything else supports it), EQ subtractively, light compression, add music/SFX 15-20 dB under dialogue (ducking for voiceovers), check mono compatibility.
      1. Master to spec. Loudness-normalize to the platform target, true-peak limit at -1 dBTP, export in the required format (WAV master archived; AAC/MP3 for delivery).
      1. QC on multiple systems. Headphones, laptop speakers, phone speaker, car. If the mix only works on studio monitors, it doesn't work. Check the full listen for level jumps and artifacts.

Common pitfalls

      • Recording too hot. Clipped audio is unfixable — distortion is forever. Leave headroom; you can always turn up clean audio.
      • Noisy environments. HVAC hum, room echo, street noise. Fix at the source (turn things off, move rooms, get closer to the mic) — repair tools are damage control, not magic.
      • Over-processing. Noise reduction artifacts, over-compressed lifelessness, auto-tune sheen on podcasts. Every process should be inaudible in its operation.
      • Music drowning dialogue. Background music mixed like a soundtrack instead of a bed. Dialogue is king — everything else whispers.
      • Ignoring loudness targets. Uploading a -24 LUFS podcast to a -16 LUFS platform means listeners crank the volume, then get blasted by the next show. Normalize to spec.
      • MP3 as a working format. Editing and re-exporting MP3s compounds compression artifacts. Work in WAV/AIFF; export lossy only at the end.

리뷰

아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.

댓글

로그인 없이 쓸 수 있습니다. 사용 후기, 질문, 작동하지 않은 환경 등을 편하게 남겨 주세요.

아직 댓글이 없습니다. 첫 댓글을 남겨 보세요.

보내면 바로 공개됩니다. 이메일 주소나 전화번호 같은 개인 정보는 쓰지 마세요. URL은 2개까지입니다.

0 / 1,000자

이 양식은 reCAPTCHA로 보호되며 Google 개인정보처리방침 및 서비스 약관이 적용됩니다.

같은 저장소의 스킬

Master 1Password: vaults, Watchtower, passkeys, SSH agent, CLI, and family/team administration. Use when getting full value from 1Password personally or administering it for others.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

aicodedecode/awesome-muse-skills252026년 10월 10일 업데이트

Create 3D visuals with modeling, texturing, lighting, rendering, and optimization for web and product.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

aicodedecode/awesome-muse-skills252026년 10월 10일 업데이트

Create 3D web experiences: scene setup, models, materials, lighting, animation, scroll-driven scenes, and performance budgets. Use when adding 3D to websites beyond basic demos.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

aicodedecode/awesome-muse-skills252026년 10월 10일 업데이트

Writing abstracts that get papers read — structured content, the 5-sentence core, and journal-specific constraints.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

aicodedecode/awesome-muse-skills252026년 10월 10일 업데이트

Learn effectively from courses and academies: choosing programs, studying actively, and converting courses into skills. Use when investing time/money in structured learning.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

aicodedecode/awesome-muse-skills252026년 10월 10일 업데이트

Audit designs for accessibility with WCAG checklists covering color, type, focus, motion, and content.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

aicodedecode/awesome-muse-skills252026년 10월 10일 업데이트

aicodedecode의 스킬 모두 보기

이 스킬의 문제 신고