# Vernacular Elevation > Take common speech—diner talk, jailhouse slang, everyday language—and lift it into poetry without losing its roughness. - Skill: `sethmblack/vernacular-elevation` (Agent Skill) - Install (CLI): `npx skillmds add sethmblack/vernacular-elevation` - Raw SKILL.md: https://api.skillmd.com/api/skills/sethmblack/vernacular-elevation/raw - Safety review: pending - Works with: Claude Code, Claude.ai, OpenAI Codex - Category: Coding & Dev Tools - License: MIT - Author: sethmblack (https://skillmd.com/u/sethmblack) - Updated: 2026-09-08 - Page: https://skillmd.com/skills/sethmblack/vernacular-elevation --- # Vernacular Elevation A methodology for taking common speech—diner talk, jailhouse slang, everyday language—and lifting it into poetry without losing its roughness. --- ## When to Use This Skill - Dialogue sounds flat or generic - Marketing copy is forgettable - Technical writing needs humanity without losing accessibility - Content is too polished and loses authenticity - User requests: "make this memorable," "add poetry," "elevate this language" --- ## Step-by-Step Methodology ### Step 1: Identify the Vernacular Find the everyday speech patterns in your content: - Common phrases people actually say - Jargon (technical, regional, professional) - Clichés that could be revitalized - Plain, direct statements The raw material for poetry is already in ordinary speech. The task is excavation, not importation. ### Step 2: Find the Rhythm Read the content aloud. Where does it flow? Where does it stumble? **Techniques:** - Mix long rolling phrases with short jabs - Let sentences lurch and swagger—they don't need perfect meter - Find the music in how people actually talk **Example rhythm transformation:** - Flat: "He had worked there for a long time and knew the business well." - Elevated: "Thirty years at that counter. Knew every bolt in the inventory and every story behind every customer who'd ever walked through that door." ### Step 3: Add Unexpected Comparison The poetry comes from surprising juxtapositions: | Flat | Elevated | |------|----------| | She smiled | She had a smile like a switchblade and a laugh that could cure tuberculosis | | He was old | He'd been around back when Eisenhower was president and hope was legal in all fifty states | | It was late | The hour when even the streetlights looked tired | | She was tough | The kind of woman who'd arm-wrestle a bailiff and win | ### Step 4: Honor the Texture Don't smooth out the rough edges. Poetry lives in imperfection: - Keep contractions and colloquialisms - Let grammar serve rhythm, not rules - Preserve the original voice's class, region, and era - Use words that "have rust on them" ### Step 5: Verify Authenticity Test: Would the original speaker still recognize themselves in this language? If you've made a trucker sound like a professor, you've failed. If you've made a trucker sound like a poet who happens to drive trucks, you've succeeded. --- ## Examples ### Example 1: Business Communication **Flat vernacular:** "We've been in business a long time and we take care of our customers." **Elevated:** "We've been here since before the interstate came through. Three generations of knowing your name and meaning it when we say we'll fix it right." ### Example 2: Emotional Expression **Flat vernacular:** "He was really heartbroken when she left." **Elevated:** "When she walked out, something in him went quiet—the way a bar goes quiet right before a fight, except the fight never came and the quiet never left." ### Example 3: Technical Description **Flat vernacular:** "The system processes data quickly and efficiently." **Elevated:** "It moves through data the way a short-order cook works a Saturday rush—nothing wasted, nothing burned, everything landing exactly where it needs to be." ### Example 4: Character Introduction **Flat vernacular:** "She was an experienced waitress." **Elevated:** "She could carry six plates up one arm and a lifetime of disappointments behind her eyes, and she'd still remember you wanted extra pickles." --- ## Key Principles 1. **Excavation over importation** - The poetry is already in the speech; find it 2. **Rhythm over rules** - Sentences should swing, not march 3. **Specificity is poetry** - Name the street, the drink, the decade 4. **Rough edges are texture** - Don't sandpaper the soul out of it 5. **Surprise is music** - Put elegant and crude in the same sentence --- ## Phrase Patterns These structures help elevate vernacular: - **"Back when [historical anchor] and [surprising observation]"** - "Back when Kennedy was president and a dollar meant something" - **"The kind of [noun] that [unexpected verb/description]"** - "The kind of bar that charged you for the ambiance but forgot to provide any" - **"[Object] like a [surprising comparison] and [contradictory quality]"** - "A voice like honey poured over gravel and twice as sweet" - **"Somewhere between [X] and [Y], [unexpected discovery]"** - "Somewhere between the third beer and closing time, he found religion" --- ## Anti-Patterns to Avoid 1. **Literary overlay** - Don't make working-class speech sound MFA-educated 2. **Rhythm destruction** - Don't break the natural flow for "better" words 3. **Cliché without twist** - If using a common phrase, subvert it 4. **Over-elevation** - Sometimes "he was tired" is exactly right 5. **Losing the speaker** - The elevated version must still sound like them --- ## Integration with Tom Waits Expert This skill embodies the Tom Waits approach to language: finding the hidden poetry in diner talk, carnival barker patter, and jailhouse slang. When using the tom-waits expert, vernacular elevation is applied automatically. This standalone skill allows the technique to be used without the full voice transformation. --- ## Checklist Before finalizing elevated vernacular: - [ ] The rhythm flows when read aloud - [ ] At least one unexpected comparison or juxtaposition - [ ] Original speaker's voice is preserved (class, region, era) - [ ] Specificity replaces generality - [ ] Rough edges remain—not over-polished - [ ] The language surprises without confusing