What problem does it solve?
Prevents generic LLM rhetoric, promotional filler, and inconsistent tone in documentation and user-facing content by enforcing a concise, evidence-based technical voice so readers get actionable, reliable information.
Core Features & Use Cases
- Anti-trope enforcement: Detects and removes banned openings, closing tropes, filler adjectives, and structural padding.
- Voice principles: Enforces directness, specificity, evidence-backed claims, brevity, active voice, and a technical tone suited for developer audiences.
- Checklist-driven validation: Uses a before-publishing checklist to confirm no banned phrases, consistent terminology, and removal of weasel words.
- Use Case: Rewrite a project README, API docs, or help text to replace marketing fluff with specific metrics, concise instructions, and clear outcomes.
Quick Start
Use the brand-voice skill to rewrite the README introduction into concise, technical sentences that remove filler phrases and state measurable outcomes.