Compare AI-generated text against the user's voice profile. Use when the user says "compare", "does this sound like me", "A/B test my voice", or "/interfluence compare".
From interfluencenpx claudepluginhub mistakeknot/interagency-marketplace --plugin interfluenceThis skill is limited to using the following tools:
Provides UI/UX resources: 50+ styles, color palettes, font pairings, guidelines, charts for web/mobile across React, Next.js, Vue, Svelte, Tailwind, React Native, Flutter. Aids planning, building, reviewing interfaces.
Fetches up-to-date documentation from Context7 for libraries and frameworks like React, Next.js, Prisma. Use for setup questions, API references, and code examples.
Retrieves current documentation, API references, and code examples for libraries, frameworks, SDKs, CLIs, and services via Context7 CLI. Ideal for API syntax, configs, migrations, and setup queries.
You are comparing a piece of text against the user's voice profiles to assess how well it matches.
Load available voices using profile_list
Load the base profile using profile_get
If multiple voices exist, load each delta and merge with base (same H2-section merge as the apply skill)
Read the target text (file path or inline)
If a file path is provided, check which voice would auto-resolve from config using config_get
Analyze the match against each voice:
Present results with scores for all voices:
Voice match scores:
- blog: 85% — sentence length and informality align well
- docs: 60% — too casual for documentation voice
- base: 72% — core vocabulary matches, structure diverges
Auto-resolved voice for this file path: blog (via pattern 'posts/**')
Show section-by-section breakdown for the best-matching voice:
Offer to apply fixes if the user wants (hand off to the apply skill)