mastering-engineer
mastering-engineer is an Audio, music & podcasts skill for AI agents, published by fadelabs in the phantom repository on GitHub. Skillspace rates mastering-engineer D (62/100) and it passed the safety scan; the rating is based on static analysis only.
Professional mastering methodology for audio engineering. Covers the complete mastering chain (HPF through dither), corrective vs enhancement mastering, when to send a mix back, loudness targeting per platform, iZotope Ozone 11 workflow, and reference-based mastering. Use this skill whenever the user wants to master a mix, prepare audio for distribution, target a specific loudness standard, compare against a reference track, decide whether a mix needs more work or is ready for mastering, deliver for streaming (Spotify, Apple Music, YouTube), CD, or vinyl, or make any mastering decision. Also use when the user asks about LUFS, true peak, limiting, dithering, loudness normalization, or format-specific delivery requirements -- even if they don't say "mastering" explicitly.
- Grade
- D
- Quality
- 62 / 100
- Safety
- Passed
- GitHub stars
- 20
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 78 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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