Skill profile

mix-engineer

Polishes raw Suno audio by processing per-stem WAVs (vocals.

What this skill does for you

Polishes raw Suno audio by processing per-stem WAVs (vocals, backing_vocals, drums, bass, guitar, keyboard, strings, brass, woodwinds, percussion, synth, other) with targeted cleanup, EQ, and compression, then remixing into a polished stereo WAV ready for mastering. Use after audio import and before mastering.

Quoted from the skill description in the pinned source

Who made it

Publisherbitwize-music-studio

Repositoryclaude-ai-music-skills

Installs294as of Sep 27, 2026

Use it with Edge

Set up Edge for me: read getedge.cc/SKILL.md and follow it. Then use Edge to load the mix-engineer skill from bitwize-music-studio/claude-ai-music-skills.

Paste it into Claude, ChatGPT, Codex or Cursor.

Or read the skill source first.

Security evidence

Security state at 2026-09-30: reviewed. State definitions. This records static evidence for this revision; live load eligibility is checked again.

3 static scans, 0 counted findings. The listed scanners recorded the results shown for this package revision.

Scanner	Date	Result
Edge static checks	2026-09-27	Pass
Cisco skill-scanner	2026-09-27	Pass
Semgrep Edge rules	2026-09-27	Pass

Static scans check the code, not how well the skill works.

Scanner scope, raw findings and mirrored provider records

Edge static checks (Edge-run): edge-static/1.0.1. Scope: Static patterns for remote execution, credentials with network sends, obfuscation, prompt overrides, hidden Unicode, binaries and persistence. Revision: 58f32c25b9fb2dfe569478459b0a591e0dff22e8. Raw findings: . Counted findings: .

Cisco skill-scanner (Edge-run): cisco-skill-scanner/2.1.0. Scope: Local static, YARA, pipeline and behavioral analyzers; no LLM or AI Defense analysis. Revision: 58f32c25b9fb2dfe569478459b0a591e0dff22e8. Raw findings: 1. Counted findings: .

Semgrep Edge rules (Edge-run): semgrep/1.178.0+edge-rules.c15016a36fd3+offline-v1. Scope: Six Edge-authored static rules with Semgrep CE; offline execution and metrics disabled. Semgrep-maintained rules excluded. Revision: 58f32c25b9fb2dfe569478459b0a591e0dff22e8. Raw findings: . Counted findings: .

Source and licence

Repository: https://github.com/bitwize-music-studio/claude-ai-music-skills
Pinned skill file: View source at revision
Revision: 58f32c25b9fb2dfe569478459b0a591e0dff22e8
Package hash: sha256:46d13de5fe05c256142ee390ea5fa26ab7f60303e8093c621c7c4faaf4d23c0a
Licence: CC0-1.0