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pronunciation-specialist

Identifies and fixes phonetic risks in lyrics to improve AI song generation quality.

Install

mkdir -p .claude/skills/pronunciation-specialist && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/16321" && unzip -o skill.zip -d .claude/skills/pronunciation-specialist && rm skill.zip

Installs to .claude/skills/pronunciation-specialist

Activation

This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.

Scans lyrics for pronunciation risks and prevents Suno mispronunciations. Use when writing lyrics with proper nouns, technical terms, homographs, or non-English words.
167 chars✓ has a “when” trigger
Intermediate

Key capabilities

  • Scan lyrics for pronunciation risks
  • Suggest phonetic spellings for risky words
  • Identify homographs requiring clarification
  • Flag technical terms and acronyms for phonetic spelling
  • Apply phonetic fixes to lyrics for AI music tools

How it works

The skill scans lyrics for pronunciation risks, such as homographs, technical terms, and non-English names. It uses a base pronunciation guide and an optional override guide to suggest and apply phonetic spellings, then generates a report.

Inputs & outputs

You give it
Track file path or lyrics directly
You get back
Clean lyrics with all phonetic fixes applied, ready for suno-engineer, and a report of risks found and fixes applied

When to use pronunciation-specialist

  • Preparing lyrics for Suno AI
  • Checking song pronunciation
  • Reviewing technical terminology in lyrics

About this skill

Your Task

Input: $ARGUMENTS

Instrumental Guard

When invoked with a track file path, first check the track's frontmatter for instrumental: true or the Track Details table for **Instrumental** | Yes. If the track is instrumental:

  • STOP and report: "SKIP — Instrumental track (no lyrics to scan for pronunciation)"
  • Do NOT scan instrumental tracks.

Vocal Track Workflow

Based on the argument provided:

  • If given a track file path: Read it, scan lyrics for pronunciation risks, report issues with fixes
  • If given lyrics directly: Scan and flag risky words
  • Output: Clean lyrics with all phonetic fixes applied, ready for suno-engineer

Supporting Files

  • word-lists.md - Complete tables of homographs, tech terms, names, acronyms, numbers

Pronunciation Specialist

Scan lyrics for pronunciation risks, suggest phonetic spellings, prevent Suno mispronunciations.

Why This Matters

The problem: Suno AI guesses pronunciation. Wrong guess = wrong song = wasted generation.

One wrong word ruins the take.

When to Invoke

Always invoke between lyric-writer and lyric-reviewer:

lyric-writer (WRITES + SUNO PROMPT) → pronunciation-specialist (RESOLVES) → lyric-reviewer (VERIFIES) → pre-generation-check
                                                  |
                                     Scan, resolve, fix risky words

Your role — RESOLVE:

  • The lyric-writer flags potential pronunciation risks and asks about homographs
  • You do the deep scan, resolve ambiguities with the user, and apply all phonetic fixes
  • The lyric-reviewer then verifies all resolutions were correctly applied

High-Risk Word Categories

See word-lists.md for complete tables. Summary:

1. Homographs (CRITICAL)

Same spelling, different pronunciation. ALWAYS require clarification. (Canonical reference: ${CLAUDE_PLUGIN_ROOT}/reference/suno/pronunciation-guide.md. Keep this summary in sync.)

WordOptionsFix
liveLYVE (verb) / LIV (adjective)"lyve" or "liv"
readREED (present) / RED (past)"reed" or "red"
leadLEED (guide) / LED (metal)"leed" or "led"
windWYND (air) / WINED (coil)"wynd" or "wined"
tearTEER (cry) / TARE (rip)"teer" or "tare"
bassBAYSS (music) / BASS (fish)"bayss" or "bass"

2. Tech Terms

Suno often mispronounces tech words:

  • Linux → "Lin-ucks" (not "Line-ucks")
  • SQL → "S-Q-L" or "sequel"
  • API, CLI, SSH → spell out with hyphens

3. Names & Proper Nouns

Non-English names need phonetic spelling:

  • Jose → "Ho-zay"
  • Ramos → "Rah-mohs"
  • Sinaloa → "Sin-ah-lo-ah"

4. Acronyms

3-letter acronyms → spell out with hyphens (FBI → F-B-I) Word-like acronyms → phonetic (RICO → Ree-koh, NASA → Nah-sah)

5. Numbers

  • Years: Use apostrophes ('93) or words (nineteen ninety-three)
  • Digits: Write out (four-oh-four, not 404)

Pronunciation Guides

You reference TWO pronunciation guides:

Base Guide (Plugin-Maintained)

  • Location: ${CLAUDE_PLUGIN_ROOT}/reference/suno/pronunciation-guide.md
  • Contains: Universal pronunciation rules, common homographs, tech terms
  • Updated: By plugin maintainers when new issues are discovered

Override Support

Check for custom pronunciation entries:

Loading Override

  1. Call load_override("pronunciation-guide.md") — returns override content if found (auto-resolves path from config)
  2. If found: load and merge with base guide (override entries take precedence)
  3. If not found: use base guide only (skip silently)

Override File Format

{overrides}/pronunciation-guide.md:

# Pronunciation Guide (Override)

## Artist Names
| Name | Pronunciation | Notes |
|------|---------------|-------|
| Ramos | Rah-mohs | Character name |

## Album-Specific Terms
| Term | Pronunciation | Notes |
|------|---------------|-------|
| Sinaloa | Sin-ah-lo-ah | Location |

How to Use Override

  • Add artist names, album-specific terms, and genre-specific jargon
  • Override entries take precedence over base guide entries for the same word
  • Base guide updates via plugin updates without conflicts
  • Override guide is version-controlled with your music content

Scanning Workflow

Step 1: Automated Scan via MCP

  1. Extract lyrics: extract_section(album_slug, track_slug, "lyrics")
  2. Homograph scan: check_homographs(lyrics_text) — returns found homographs with line numbers, pronunciation options
  3. Additional manual scan for tech terms, acronyms, numbers, and names (not covered by MCP homograph list) — cross-reference word-lists.md
  4. If style prompt exists: scan_artist_names(style_text) — catch blocklisted names

After fixes are applied: 5. Verify: check_pronunciation_enforcement(album_slug, track_slug) — confirms all pronunciation table entries appear in lyrics

Step 2: Review Results

From MCP results and manual scan:

  • Which words were flagged?
  • What's the recommended fix for each?

Step 3: Generate Report

For each flagged word, provide:

  1. Line number and context
  2. Why it's risky (ambiguity type)
  3. Suggested phonetic spelling
  4. Alternative if multiple pronunciations exist

Example output:

PRONUNCIATION RISKS FOUND (3):

Line V1:3 -> "We live in darknet spaces"
  Risk: "live" is homograph
  Options: "lyve" (verb) or "liv" (adjective)
  -> Needs clarification

Line C:1 -> "SQL injection in the code"
  Risk: "SQL" is tech acronym
  Fix: "S-Q-L" or "sequel"
  -> Auto-fix: "S-Q-L injection in the code"

Line V2:5 -> "Reading Linux logs at 3AM"
  Risk: "Linux" commonly mispronounced
  Fix: "Lin-ucks"
  -> Auto-fix: "Reading Lin-ucks logs at 3 A-M"

Step 4: User Confirmation

For ambiguous words (like "live"): Ask user which pronunciation For clear fixes (tech terms): Auto-fix


Auto-Fix Rules

Always Auto-Fix

  • Tech terms (SQL → S-Q-L, Linux → Lin-ucks)
  • Common acronyms (FBI → F-B-I, GPS → G-P-S)
  • Numbers (1993 → '93 or nineteen ninety-three)

Ask User First

  • Homographs (live, read, lead, wind, tear)
  • Names (confirm pronunciation preference)
  • Words with regional variants (data, either, route)

Output Format

Track File Updates

If given a track file, update these sections:

Pronunciation Notes (add table):

| Word/Phrase | Phonetic | Notes |
|-------------|----------|-------|
| Jose Diaz | Ho-say Dee-ahz | Spanish name |
| live | lyve | Verb form (to reside) |
| SQL | S-Q-L | Spell out |

Lyrics Box (apply fixes): Replace standard spelling with phonetic in the Suno lyrics section.

Standalone Report

PRONUNCIATION SCAN COMPLETE
===========================
File: [path or "direct input"]
Risks found: X
Auto-fixed: Y
Needs user input: Z

FIXES APPLIED:
- "SQL" → "S-Q-L" (line V1:3)
- "Linux" → "Lin-ucks" (line V2:5)

NEEDS USER INPUT:
- "live" (line C:1) - lyve or liv?

CLEAN LYRICS:
[Full lyrics with all fixes applied]

Adding Custom Pronunciations

When you discover new pronunciation issues specific to the user's content:

Add to OVERRIDE guide ({overrides}/pronunciation-guide.md):

  1. Read config to get paths.overrides location
  2. Check for {overrides}/pronunciation-guide.md
  3. Create file if it doesn't exist (with header and table structure)
  4. Add the word to appropriate section (Artist Terms, Album Names, etc.)
  5. Include: word, standard spelling, phonetic spelling, notes

Example entry:

| Larocca | larocca | Luh-rock-uh | Character in "sample-album" album |

DO NOT edit the base guide (${CLAUDE_PLUGIN_ROOT}/reference/suno/pronunciation-guide.md) - plugin updates will overwrite it.

When to add:

  • Artist names, album titles, track titles
  • Character names in documentary/narrative albums
  • Location names specific to album content
  • Any pronunciation discovered during production

This keeps discoveries version-controlled with the music content in the overrides directory.


Remember

  1. Load both guides at start - Base guide + override guide (if exists)
  2. Homographs are landmines - live, read, lead, wind WILL mispronounce without fixes
  3. Tech terms need phonetic spelling - Don't trust Suno with acronyms
  4. Non-English names always need help - Phonetic spelling mandatory
  5. Numbers are tricky - Write them out or use apostrophes
  6. When in doubt, ask - Better to clarify than regenerate
  7. Add discoveries to OVERRIDE guide - Never edit base guide (plugin will overwrite)

When not to use it

  • When the track is instrumental and has no lyrics
  • When the user wants to edit the base pronunciation guide
  • When the user wants to bypass phonetic spelling for risky words

Prerequisites

lyric-writer

Limitations

  • Does not scan instrumental tracks.
  • Homographs always require clarification.
  • Never edit the base guide (`${CLAUDE_PLUGIN_ROOT}/reference/suno/pronunciation-guide.md`).

How it compares

This skill automates the process of identifying and correcting pronunciation risks in lyrics for AI music tools, ensuring accurate vocalization and reducing wasted generation attempts, unlike manual lyric review for phonetic accuracy.

Compared to similar skills

pronunciation-specialist side by side with the closest alternatives in the catalog.

SkillInstallsUpdatedSafetyDifficulty
pronunciation-specialist (this skill)04moNo flagsIntermediate
amcs-producer-notes-generator59moNo flagsAdvanced
sales-automator54moNo flagsBeginner
social-media-generator69moReviewBeginner

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