dialogue

Fix flat dialogue by diagnosing conversations on text, subtext, and context layers to identify issues like 'Wooden Dialogue' or 'Identical Voices'. This analysis pinpoints specific voice differences, providing targeted interventions to differentiate speech patterns and enhance narrative function.

Check for exposition dumps by running a dialogue audit on your text to identify where conversations are used solely for plot delivery. The analysis isolates these flat dialogue instances and offers specific recommendations to inject subtext and character voice.

Add subtext by analyzing the gap between what characters say and mean across text, subtext, and context layers. This diagnostic approach identifies missing narrative layers and suggests targeted interventions to ensure dialogue serves multiple narrative purposes.

Yes, you can analyze dialogue with only the Deno runtime installed. The Skill relies on Deno to execute its scripts, which perform quantitative analysis on your text to diagnose voice issues and identify specific dialogue problems.

The best way to audit character voice consistency is using a quantitative voice-check tool that evaluates speech patterns across text, subtext, and context layers. This process identifies 'Identical Voices' states and provides specific recommendations to differentiate characters.

Dialogue sounds wooden when it lacks multi-layered subtext and distinct character voice. A diagnostic analysis identifies this 'Wooden Dialogue' state by evaluating text, subtext, and context layers, providing specific recommendations to make conversations engaging and character-driven.